Department of Computer Science

About Department

The era of computer science studies started in South Gujarat University (renamed as Veer Narmad South Gujarat University in 2004) in the year 1987-1988 with the introduction of the program Post-B.Sc. Diploma in Computer Application. Later, in the academic year 1990-91, the university introduced three year Master program, Master of Computer Application (MCA) with an intake capacity of thirty seats. With the growth of the department, research programs, Master of Philosophy (M.Phil.) and Doctor of Philosophy (Ph.D.) in Computer Science were started from the academic year 1996-97. To fulfil the local needs, the department offered the Post Graduate Diploma in Computer Application in part-time mode and a post-graduate degree program, viz, Master of Science (Bioinformatics), which was later discontinued. Gradually, the department of computer science emerged as one of the most progressive departments of the Veer Narmad South Gujarat University. The department is considered to be the most preferred institute for MCA admissions in the South Gujarat region.

Research activities are one of the prime activities for any department in the university. The department of computer science is also involved in theoretical and society-oriented research. For its research activities, the University Grants Commission (UGC) awarded the Department of Computer Science with the Special Assistance Program (SAP-DRS-I) in the year 2012 for the period of five years. After the success of this research project, UGC continued with the SAP (DRS-II) from the year 2018 for the period of the next five years. The faculties of the department are also involved in research projects, training programs, extension activities, etc.

The department of computer science has a very rich alumni base. The alumni of the department of computer science have an evident presence in most of the countries in all most all the continents. Many of them have senior positions in multinational companies, and few of the alumni have turned into successful entrepreneurs. The Computer Science studies that started in a very small room have now turned out to be a huge department with state-of-the-art computing and other infrastructural facilities spread in a building of more than 30,000 square feet.

Vision

To be a department of excellence in imparting higher education in Computer Science keeping in pace with the changing needs of the IT industry resulting in increase in employment

Mission

To be a hub for cutting edge technology in computer science by offering various post graduate and research programs

▶ Department of Computer Science

Department of Computer Science Veer Narmad South Gujarat University

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M.C.A.

Master of Computer Application (MCA) program is specially designed for computer science, information technology, engineering, etc graduate students. Although non-IT graduates can also pursue the program. There is a bridge course compulsory for such graduates, which will bridge the gap between subjects studied at the graduate level and subjects they would be studying at Master of Computer Application. Such graduates have to clear the bridge course and get 16 credits during the completion of the MCA program. The curriculum is designed and updated regularly to match the IT industry’s needs. The program was of 3 years duration, but from the academic year 2020-21, it is of two years duration.

Syllabus Download

Objective of Program

The core objective of the MCA program is to prepare the students for a productive career in the software industry and academia by providing an outstanding environment of teaching and research in the core and emerging areas of the discipline.

Program Outcome

PO1 : Fundamental Knowledge Enrichment
Program trains students with the core computer science and Information Technology (IT) knowledge domains. It also makes students capable of using core concepts in the conceptualization of domain specific application development.

PO2 : Critical Thinking Development
The program develops the skills of critical thinking, problem solving, evaluative learning of various techniques, and understanding the essence of the problem.

PO3 : Advanced Emerging Technology Awareness
The program trains students with the latest technologies that is being used in the industry. The continuous syllabi review adds value to the program for the outgoing students and make them ready to face challenging demands of the industry.

PO4 : Advanced Tools Usage
The program teaches the students to apply the advanced tools to solve real world problems.

PO5 : Nurturing Project Planning and Management Capabilities
The program trains students for designing and conceptualizing the software architecture, planning and managing the product development process of complex and live software projects. It also makes students understand the decision making for selection of an appropriate project management capabilities.

PO6 : Real World Problem / Project Development
Real world project provides the candidates exposure to work in the challenging and demanding environment of the industry. The project development training makes students employable and industry ready.

PO7 : Team Work and Leadership Development
Train students to work in a team and also to take leadership of the of the project management team.

Program Specific Outcome

PSO1 : Develop and strengthen the fundamental core concepts that are required to solve complex problems.

PSO2 : Develop the professional and entrepreneurship skills that needs independent logical and analytical thinking, teamwork and leadership.

PSO3 : Nurture the students to investigate for the design and development of a workable solution for a real world problem.

PSO4 : Develop students for self-learning and practicing challenging problem solution.

PSO5 : Train students to apply managerial skills to develop business applications.

PSO6 : Train students to use recent computer science and application domain specific knowledge.

PSO7 : Train students to take-up the real world challenges to develop workable solution to a domain specific problem.

PSO8 : Inculcate the passion for continuous learning and doing research for making a successful professional career.

Intake

Grant in Aid (GIA) : 30
Self-financed (SFI) : 90

Program Duration

2 years (4 Semesters)

Program Features

120 credit program (4 semesters of 30 credits each)
Toal 15 courses covering various technologies
11 Practical courses
Practical learning experience with a semester long industry internship (Project) in the last semester
Research based Seminar in the last semester
The curriculum is designed and updated regularly to match the IT industry’s needs

MCA Semester - III (Common Papers) ▾

Course Code	Course Title	Outcome	Credit
301	Elective 1: Internet of Things Elective 2: Machine Learning	Elective 1: Internet of Things CO1: Understand the IoT ecosystem and architecture. Understand IoT standards and protocols. Understand the privacy, security and governance issues in IoT applications. Exposing students with IoT botnet and the risks involved with IoT based applications. CO2: Understand the overview and working of the various sensors used in IoT applications. Introduce and Explain various network communication protocols, standards and IoT data Protocols. Understanding the Wireless Sensor Network and how IoT devices communicate with each other. CO3: Understand Micro-Controller and its architecture. Understand the usage of Micro-Controller in IoT applications. Understand how Arduino and NodeMCU interact with sensors and communicate over the network. CO4: Understand Micro-Computer and its architecture. Understand the difference between a Micro-Controller and Micro-Computer. Understand the usage of Micro-Computer in IoT applications. Understand how Raspberry Pi interact with sensors and communicate over the network. CO5: Expose the students with Server-side development in IoT applications. Understand how to develop and deploy applications in Arduino and NodeMCU. Understand how Arduino and NodeMCU communicate among themselves, sensors and the server. Understand how to build a full IoT app by integrating them with mobile applications. Elective 2: Machine Learning CO1: Explain to the students the fundamental know how like the types of machine learning algorithms, applications and various required libraries, model selection etc. required to implement machine learning algorithms. CO2: Train students with can utilize various data wrangling techniques, data cleaning, data transformation, data reduction, data discretization, feature selection, and data visualization CO3: Train students who can implement supervised learning algorithms utilizing regression and classification algorithm on the real world dataset. CO4: Train student to have understanding of Artificial Neural Network and its working. Also, to make them capable of implementing ANN for solving real world problems using it. CO5: Explain to the students to use clustering and association rules as unsupervised le CO6: Train students to use machine learning techniques to solve real life complex problems.arning method to solve complex problems.	4
302	Design Patterns	CO1: Explain students about the various design patterns; their categories, and purpose. CO2: Explain the creational design patterns. CO3: Explain the structural design patterns. CO4: Explain the behavioural design patterns. CO5: Explain some more design patterns used in IT industry currently. CO6: Make students understand the applicability of design patterns practiced by IT companies and how effectively combine these patterns for effective software development.	4

MCA Semester - I ▾

Course Code	Course Title	Outcome	Credit
101	Relational Database Management System	CO1: Students will be able to understand and evaluate the role of database management systems in IT applications within an organization. CO2: Students will be able to normalise any real-life database and hence they will be able to design and implement properly structured databases of realworld applications. CO3: Students will be able to write queries using Structured Query Language (SQL) and programs using PL/SQL. CO4: Students will understand how Oracle Database works and the importance of various components of OracleDatabase. CO5: Students will understand administration and security enforcement of Oracle Database. This will help them in pursuing higher studies and career in Database Administration	4

MCA Semester - II ▾

Course Code	Course Title	Outcome	Credit
201	Artificial Intelligence	CO1: Explain students the insight of the historical and fundamental aspects the artificial intelligence. CO2: Train students to represent declarative knowledge in the form of symbolic knowledge through various Knowledge Representation (KR) techniques like First Order Predicate Logic (FOPL), Semantic Network, Conceptual Graphs, Scripts, and Frames. CO3: Train students to apply various searching algorithms fall under informed and uninformed search methods to solve complex problem of AI domain. CO4: Explain and train students to deal with the uncertainty that inherently lies within many AI problem. CO5: Expose the students with the analysis and development process of the knowledge based system development. CO6: Explain students to utilize the AI problem solving techniques in the advanced AI problem domain like Natural Language Processing (NLP) and Computer Vision (CV)	4
202	Front End Technologies	CO1: Explain students the insight of the fundamental aspects of the static web technology like HTMl , CSS and Javascript CO2: Train students to represent declarative knowledge in the Boorstrap and it’s components , with help of this students can learn static web designing . CO3: Train students to understand various Javascript based technologies like Jquery , JSON and AJAX. CO4: Explain and train students to understand basic concepts of Angular JS. CO5: Expose the students to the various UI technology and real world use of it.. CO6: After completion of this course, the student will be able to design and develop web pages and Interactive UI for Web Applications	4
203	Programming in .NET	CO1: Study .Net Architecture. CO2: Design and develop console and window based .NET application. CO-3-To learn basic syntax and implement small applications in C# programming language. CO4: Create and manipulate GUI components in C#. CO5: Create applications in C# using Object Oriented Properties. CO6: Design and implement Database connectivity using ADO.Net. CO7: Identify and resolver problems in C# applications	4
204	Python Programming Language	CO1: Students will be able to Write, Test and Debug Python Programs. CO2: Students will be able to Implement Conditionals and Loops, use functions and represent Compound data using Lists, Tuples and Dictionaries in Python programs. CO3: Students will be able to Read and write data from & to files in Python and develop Real World Application. CO4: Students will be able to Design and implement programs to solve real-world problems using Python Programming Language. CO5: Students will learn essential packages like NumPy and Matplotlib, which are necessary for Machine Learning, Data Analytics, and AI.	4
205	Elective 1: iOS Using Swift Elective 2: Android	Elective 1: iOS Using Swift CO1: Understand the iOS ecosystem and Xcode IDE. Understand the life cycle of iOS application and how to implement it in MVC. Understand Foundation framework in iOS. CO2: Understand the syntax, and semantics of the Swift programming language. Expose the students to CLI applications with Swift. CO3: Understand the UIKit framework in iOS. Understand the usage and working of UI elements in iOS application. Understanding various types of design and their implementation. CO4: Understand data persistence in mobile application. Understand working with files in iOS. Expose students with implementation and usage of database in an iOS application. CO5: Understand the usage and data extraction of sensors in iPhone. Expose the students with Location and MapKit Framework in iOS to build map-based applications. Expose the students with ad-hoc and App Store application deployment Elective 2: Android CO1: Train students for installing and using the Android Developer's Toolkit such as SDK Manager, Android Virtual Device, Dalvik Debug Monitor Service (DDMS), Android Debug Bridge (ADB) and make them capable to develop, manage and maintain application(Apps) using Android and publish Apps on Google Play. CO2: Understand the Android software stack & program building bloc ks like activities, services and notifications to use them effectively to de velop Android applications. CO3: Explain working with AndroidManifest, xml resources like layout and values and incorporate xml resources with Java code. CO4. Explain the use of java library for views, controls, menus, dialogs, graphics, media, storage, SQLiteDatabase etc… to make interactive applications. CO5: Train students to build Android app that access the database & other resources on web server using web services. CO6: Train students for managing Telephony and Message services. Make them capable of using Location Manager and Google MAP related APIs for App and create the professional applications	4
206	Programming Skills - IV	After completion of this course, the student will be able to design and develop web pages and Interactive UI for Web Applications	3
207	Programming Skills - V	After studying the course, students will be able to understand how .NET Technology works and the importance of object-oriented programming. This course will also help students to appreciate the C#.NET programming	2
208	Programming Skills - VI	After completion of this course, the student will be capable to develop, manage and maintain mobile device-based application using Android/iOS	2
209	Programming Skills - VII	After completion of this course, the student will be capable to develop, manage and maintain mobile device-based application using Android/iOS.	3

MCA Semester - IV ▾

Course Code	Course Title	Outcome	Credit
401	Seminar		6
402	Project		24

MCA Semester - III (Web Technology Group) ▾

Course Code	Course Title	Outcome	Credit
303	Elective 1: Advanced Web Technologies Elective 2: Advanced Java Technologies	Elective 1: Advanced Web Technologies CO1: Explain students the fundamental aspects of .NET framework and ASP.NET. CO2: Train students to use various tools and controls available in ASP.NET in web application development, how to integrate them and to get them work as a part of one single unit. CO3: Train students to work with database using ADO.NET through design alternatives and through coding as well, also learn the concept of Language Integrated Query. CO4: Explain and train students to work with MVC architecture to adopt the requirements of modern days application development. Also learn component based development through web services and APIs. CO5: Expose the students to the new era of .NET Core to understand the upgrades and developments in .NET architecture. CO6: Explain students to utilize tools & techniques available in ASP.NET for web based application development and server side component development Elective 2: Advanced Web Technologies CO1: Explain students the insight of the various aspects the Java web technologies. CO2: learn to access database through Java programs, using Java Data Base Connectivity (JDBC). CO3: Create dynamic web pages, using Servlets and JSP, make a reusable software component, using Java Bean. CO4: Understand the multi-tier architecture of web-based enterprise applications using Enterprise JavaBeans (EJB), develop Session and Entity Beans CO5: Expose the students with the analysis and development process of the web application development using Java. CO6: Map Java classes and object associations to relational database tables with JPA	4
304	Full Stack Technology	CO1: Understand the syntax, and semantics of the JavaScript programming language. Manipulate DOM elements with the help of JavaScript. CO2: Understand the design of single-page applications and how React facilitates their development. Understand advantages and disadvantages of using React. Understand functional components, state components, parent & child components, lifecycle, hooks, routing, and state management in React. CO3: Understanding the working of Node environment and Express Framework. Understand Server-side Web Application development and Server-side routing. CO4: Understanding Mongo as a data store. Understanding common use-cases and architectures of Mongo. Performing database operations using Mongo's query and update languages. CO5: Expose the students with the combined development process of the full stack application. Understand connecting React and Node. Understand Github and CI/CD. Understand the deployment of full stack application using Netlify / Heroku.	4
305	Open Source Web-based Programming	CO1: Explain students the fundamental as well as Advanced aspects of the Open Source Web based Technology. CO2: Train students about react JS and difference between React JS and React Native. CO3: Train students to understand MVC structure and it’s benefits. CO4: Explain and train students to deal with possible problem while developing websites and it’s solution. CO5: Expose the students with the analysis and development process of Websites. CO6: After studying the course, students will be able to understand how Open source web technology works. They will also be able to create database driven Professional Websites.	4
306	Programming Skills - VIII	After successful completion, students will be able to work with different types of Micro-Controllers, Micro-Computers and sensors for their IoT based application development. OR After successful completion, students will be able to work with different types of ML algorithms and ML based application development.	2
307	Programming Skills - V	After studying the course, students will be able to practically work on advanced technology platforms of .NET/Java.	3
308	Programming Skills - X	After completion of this course, the students will be able to design and develop Full Stack web applications	2
309	Programming Skills - XI	After studying the course, students will be able to practically develop dynamic websites using PHP/MySql.	3

MCA Semester - III (Database Group) ▾

Course Code	Course Title	Outcome	Credit
303	Elective 1: ERP Using SAP Elective 2: NoSQL Databases	Elective 1: ERP using SAP CO1: Explain students the insight of the fundamental aspects of the ERP and SAP. CO2: Train students to represent declarative knowledge of Sap Application Server and 3-Tier Architecture. CO3: Train students to understand concepts of Data Dictionary and data structure in ABAP. CO4: Explain and train students to understand basic concepts of Modularization Technique, Module pool programing, BDC & LSMW and Selection-Screen programming. CO5: The course emphasizes on teaching SAP implementation as the whole process of transforming ERP business procedures to organization wide requirements. CO6: After studying this students will be able to understand how to work with ERP modules. After successful completion, students will be able to develop ERP application using SAP Elective 2: NoSQL Databases CO1: Explain students about history, concept , characteristics and types of NoSQL databases CO2: Explain students about the differences between relational databases and NoSQL databases, Advantages and disadvantages of NoSQL databases and application of NoSQL databases CO3: Explain students about fundamentals of MongoDB, MongoDB feature set and Architecture CO4: Train student to create document, collection and databases in MongoDB, use of simple and complex queries to insert, update and view data. CO5: Explain and train student to use MongoDB restful API and applying security CO6: Explain students about Cassandra Architecture, Data modelling in Cassandra and integration of Cassandra with Hadoop CO7: Train student to create and use keyspaces and databases in Cassandra, Also explain and train student about Cassandra administration	4
304	Advanced Database Administration	CO1: To provide strong foundation in Advanced Database Administration concepts from an industry perspective. CO2: To have thorough understanding of Oracle Database Management System internal architecture. CO3: To understand the security aspects and user management. CO4: To apply and learn various Oracle utilities CO5: To learn how to practically tune the database to optimize the overall performance. CO6: To learn and implement Backup and Recovery	4
305	Elective 1: Data Warehousing and Data Mining Elective 2: Big Data	Elective 1: Data Warehousing and Data Mining CO1: Explores Differences between Online Transaction Processing and Online Analytical processing System & describe Multidimensional schemas suitable for data warehousing CO2: Explains Data warehousing architectures and tools for organizing able to voluminous data of online processing systematically in Data warehouse/Data Mart and use those data for making strategic decisions CO3: Explains various data pre-processing methods via data reduction, data cleaning, data integration, data transformation etc... CO4: Trains students to extract knowledge using data mining techniques & to discover interesting patterns from large amounts of data for predictions and classification CO5: Trains students to develop a data mining application for data analysis using various algorithms & tools. Elective 2: Big Data CO1: Student should be able to understand concept and the building blocks of Big Data CO2: Student should be able to articulate the programming aspects of cloud computing (map Reduce etc.) CO3: Access and Process Data on Distributed File System, and to understand big data with the help of different big data applications CO4: Student must be able to represent the analytical aspects of Big Data CO5: Students will have understanding of distributed computing and will have hands-on experience on Hadoop CO6: Student shall know the recent trends related to Hadoop File System, MapReduce etc.	4
306	Programming Skills - VIII	After studying the course, students will be able to practically work on advanced technology platforms of Unix Internals with Shell Scripting /IOT.	2
307	Programming Skills - V	After studying the course, students will be able to practically work on SAP/NoSQL Databases	3
308	Programming Skills - X	After studying the course, students will be able to handle database administration, tuning and maintenance in various fields	2
309	Programming Skills - XI	After studying the course, students will be able to understand Data warehousing and data mining/Big Data practically	3

MCA Semester - III (Network Group) ▾

Course Code	Course Title	Credit
303	Network Essential & its Security	4
304	Network Administration	4
305	Wireless Network & Mobile Computing	4
306	Programming Skills - VIII	2
307	Programming Skills - V	3
308	Programming Skills - X	2
309	Programming Skills - XI	3

MCA Semester - III (General Group) ▾

Course Code	Course Title	Credit
303	Network Essential & its Security	4
304	Advanced Database Administration	4
305	Open Source Web-based Programming	4
306	Programming Skills - VIII	2
307	Programming Skills - V	3
308	Programming Skills - X	2
309	Programming Skills - XI	3

Eligibility Criteria

The aspiring candidate shall have appeared in CMAT examination 2026 conducted by NTA (prescribed by AICTE) and shall have passed qualifying examination with minimum 50% (45% for SC/ST/SEBC/EWS).

A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science Engineering or Equivalent Degree OR Passed B.Sc./B.Com./B.A. with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes / universities duly stated in admission rules. For further details, please refer notifications related to admission rules issued by Government of Gujarat from time to time. All such notifications are available on the official website of Admission Committee for Professional Courses (ACPC), Gujarat.

Admission Details

The admission to MCA programme is handled by The Admission Committee for Professional Courses (ACPC) Gujarat. For filling up the ACPC form, candidates need to qualify in the CMAT exam conducted by NTA every year (https://cmat.nta.nic.in). (The forms for CMAT are to be filled online – and they are circulated in the month of February, each year). The details about the admission procedure and other related information is available at the links to the ACPC, Gujarat viz. https://gujacpc.nic.in/ and https://jacpcldce.ac.in/mba-mca-courses. These links are common for admission to MCA and MBA programmes.

^{Reservation Policy}

Reservation will be based on the Reservation Policy by Government of Gujarat. The details about the reservation policy is available at the links to the ACPC, Gujarat viz.

Fee Structure *

	Grant in Aid (GIA)		Self Finance (SFI)
	1st Semester	Other Semesters	1st Semester	Other Semester
Boys	Rs. 6,915/-	Rs. 6,365/-	Rs. 25,100/-	Rs. 25,000/-
Girls	Rs. 4,415/-	Rs. 3,865/-	Rs. 25,100/-	Rs. 25,000/-

*Subject to Revision Periodically

P.G.D.C.A.

PGDCA programme is aimed towards building prospective career in the field of computer application. The curriculum has been prepared and frequently updated keeping in mind the needs of local IT industry. Successful candidates of this course find themselves very well placed in the growing IT industry in and around Surat. With the initiative of the present Gujarat Government of promoting IT industry in tier-2 cities will create huge opportunities for the prospective PGDCA students. The Department offers PGDCA programme in regular (2 semesters) mode.

Syllabus Download

Objective of Program

PGDCA programme is aimed towards building prospective career in the field of computer application. The programme is designed with the objective to provide knowledge and skills in the various aspects of computer applications and core programming. Students will also be trained in the latest trends of information technology.

Program Outcome

PO1: Fundamental Knowledge Enrichment
Program trains students with the core computer science and Information Technology (IT) knowledge domains. It also makes students capable of using core concepts in the conceptualization of domain specific application development.

PO2: Critical Thinking Development
The program develops the skills of critical thinking, problem solving, evaluative learning of various techniques, and understanding the essence of the problem.

PO3: Advanced Emerging Technology Awareness
The program trains students with the latest technologies that is being used in the industry. The continuous syllabi review adds value to the program for the outgoing students and make them ready to face challenging demands of the industry.

PO4: Advanced Tools Usage
The program teaches the students to apply the advanced tools to solve real world problems.

PO5: Nurturing Project Planning and Management Capabilities
The program trains students for designing and conceptualizing the software architecture, planning and managing the product development process of complex and live software projects. It also makes students understand the decision making for selection of an appropriate project management capabilities.

PO6: Real World Problem / Project Development
Real world project provides the candidates exposure to work in the challenging and demanding environment of the industry. The project development training makes students employable and industry ready.

PO7: Team Work and Leadership Development
Trains students to work in a team and also to take leadership of the of the project management team.

Program Specific Outcome

PSO1 : Develop and strengthen the fundamental core concepts that are required to solve practical problems.

PSO2 : Develop the professional skills that needs independent logical and analytical thinking, teamwork and leadership.

PSO3 : Nurture the students to investigate for the design and development of a workable solution for real-world desktop based applications.

PSO4 : Train students for self-learning and performing challenging problem solution.

PSO5 : Train students to use recent desktop application and web designing tools.

PSO6 : Inculcate the passion for continuous learning for making a successful professional career

Intake

Grant in Aid (GIA) : 30

Program Duration

1 year (2 Semesters)

Program Features

60 credit program (2 semesters of 30 credits each)
Total 9 courses covering various technologies
5 Practical courses
Practical learning experience with an inhouse project
The curriculum is designed and updated regularly to match the IT industry’s needs

PGDCA Semester - I ▾

Course Code	Course Title	Outcome	Credit
101	Fundamentals of Computers and Introduction to Information Technology	CO1: Explain students about how computer works and the importance of various components of computers CO2: Understanding the secondary storage devices like HDD, CD, DVD, Bluray and other portable devices CO3: To provide students a foundation of the importance and use of operating systems. CO4: Explain and train students to use GUI OS, Windows component, files and folder and control panel CO5: Explain and train students to utilize Internet, Email and search engine	4
102	Database Management Systems	CO1: Introduce and explain Basics of Database , Database Management System, Various pros and cons of manual system and database system, Relational database and its applications. CO2: Train students to apply various constraints on database and to store and retrieve data easily. CO3: Explain and train students to deal with inconsistency of the database, removing various database anomalies using normalization approach. CO4: Train students to work with DBMS like MS-ACCESS, MySQL, Oracle and DB2 via SQL Interface	4
103	Fundamentals of C programming	CO1: Students will be trained to write algorithm and draw flowcharts for solving complex computer programs. CO2: Students will be able to understand the fundamentals of programming language like Variables, Scope of variables and also the storage classes (How and where the value of the variable will be saved?) CO3: Students will be able to understand the basics of programming language such as operators, datatypes, control structures etc. CO4: Students will be able to write user defined functions to write complex code in more simpler way and also understands the reusability of code.	4
104	GUI Programming – 1	CO1: Introduce and explain various basic components of Microsoft.NET frame work and VB.NET Language. CO2: Explain students about various programming fundamentals and VB.Net components which help them to work with basic .NET Programs. CO3: Train students to work with windows forms and various .NET tools that helps to create windows based application in VB.Net CO4: Explain and train students to work with various Container controls, Various Dialog Boxes and Types of Menu controls of VB.NET. CO5: Train students to work with integration of Database and .NET application using ADO.Net that fulfill the basic requirements to create a project.	4
105	Office Automation Tools	CO1: Explain fundamental aspects of the MS Office suite and it’s advantages to the students CO2: Train students about word processing such as formatting, tables, Macro, Mail Merge etc. using MS Word. CO3: Train students about concepts like data formatting, conditional formatting, chats etc. using MS Excel. CO4: Explain and train students about Professional Presentation with various tools like Animation, adding graphics and sound using MS PowerPoint. CO5: Expose the students to the various data formatting, processing and presentation technology and real world use of it. CO6: After studying the course, students will be able to work with office suite and also understand about the important features of word processing software, spreadsheet software and presentation software	4
106	Practical – I	CO1: After studying this course, Students will be able to effectively work with DBMS like like MS- ACCESS, MySQL, Oracle and DB2 via SQL Interface. CO2: After studying this course, Students will be able to write program for solutions to various problems using ‘C’ language	4
107	Practical – II	CO: After studying the course, Students will be able to develop GUI application using basic controls of Visual Studio.	3
108	Practical – III	CO: After studying the course, students will be able to work with office suite and also understand about the important features of word processing software, spreadsheet software and presentation software.	3

PGDCA Semester - II ▾

Course Code	Course Title	Outcome	Credit
201	GUI Programming – II	CO1: Introduce and explain basics of Microsoft.NET and VB.NET Language, Types of menus , various windows tools and Exception handling methodology in detail. CO2: Explain students about Advanced GUI controls and train student to work with Multiple Document Interface , Web browser control and basics about configuration file. CO3: Train students to work with Multiple Document Interface that helps in project design and development. CO4: Explain and train students to deal with Connected and Disconnected Architecture of ADO .NET and data binding with grid view control. CO5: Train students to work with integration of Database system and .NET application that helps them to develop VB.NET project by using various database systems.	4
202	Web Designing tools4	CO1: Explain fundamental aspects of JavaScript and CSS. CO2: Train students about concepts of Graphics Basic like various image type, Tolerance, Opacity , Types of Color etc. CO3: Train students about Photoshop and it’s various tools. CO4: Explain and train students about How to make professional HTML,CSS based Static HTML websites and how to make different professional images for website using Photoshop. CO5: Expose the students to the various Advance Photoshop techniques like Transformation, layers Channels and Filters. CO6: After studying this course, students will be able to understand and create HTML web pages with multimedia.	4
203	Network Essentials and E-Commerce	CO1: Understand students the fundamental aspects of the computer network, Internet and E-Commerce. CO2: Train students to understand various aspects to deal with the Internet connection like communication devices, PSTN, DSL, Network addressing. CO3: Familiarize students with the process of E-commerce and security concerns while using E-commerce in business management. CO4: Explain student recognize the business impact and potential of ecommerce and the economic consequence of e-Commerce CO5: Explain students the trends in e-Commerce and the use of the Internet.	4
204	Basics of Accounts and Accounting Packages	CO1: Gives knowledge of the basic terminology of financial and management accounting system CO2: Introduces the process of double entry system and its various components like Journal, Cashbook, Subsidiary Books and Ledger etc... CO3: Students will be able to understand the entire process of financial accounting starting from journal entry up-to preparing & interpreting final accounts. CO4: Explores the various component of accounting package and usage of accounting package for commercial use. CO5: Trains student to perform book keeping, to prepare final account and financial statements using accounting package.	4
205	Practical – IV	CO: After studying this course, students shall be able to develop database related programs in Vb.Net.	3
206	Practical – V	CO: After studying this course, students will be able to understand and create HTML web pages with multimedia. This course will also help students to understand how to validate user Input and how to apply common design on every web page	3
207	Project	CO: Student will be able to develop software applications.	8

Eligibility Criteria

A graduate degree in any faculty from a recognised University.

Admission Details

1. Candidate seeking admission should purchase the prospectus from the office of the Department of Computer Science, Veer Narmad South Gujarat University, Surat and then apply ONLINE ONLY. The instruction regarding filling up the application form and procedure thereafter is given later in this prospectus and available online.

2. If the number of applicants is more than the number of seats then the candidates applying for PGDCA (Full Time) have to appear in the Common Written Test to be held at Veer Narmad South Gujarat University, Surat on date decided by the Department of Computer Science, VNSGU.

3. In case of the written test the candidates applying for PGDCA (Full Time) will be short listed in all statutory reserved categories based on their performance in the written test.

4. The “Final Merit List” of the short-listed candidates shall be prepared as given in item 3 above. Admissions shall be done based on the final merit list. The final merit list shall be declared on a pre-announced date and the candidates from various categories shall be called to the University in the order of merit (as appearing in the final merit list) according to the timetable announced at the time of declaration of the final merit list.

5. TIE BREAKER: In case there are more than one candidates having same merit then the order of preference to break the tie shall be A) Aggregate marks in the final year of the qualifying examination B) Age of the candidate (senior candidate will be given higher preference).

6. If the number of applicants is less than or equal to the number of seats then the candidates are called at the Department of Computer Science with necessary documents for the admission process.

Reservation Policy

The following reservation policy is applied for the admission to PGDCA (Regular & Part-Time) courses. Quota/Reservation, in-force from time to time as per University norms will be applicable.

Category	Percentage
SC	7% *
ST	15% *
SEBC	27% *
EBC	10% *

Fee Structure *

Grant in Aid (GIA)
	Fees per Year *
Boys	Rs. 13,280/-
Girls	Rs. 8,280/-

*Subject to Revision Periodically

M.Sc(AI & ML)

The M.Sc. AI (Artificial Intelligence) and ML (Machine Learning) is an introduction to modern and advanced AI and ML concepts and practices on real-world problems. The program will expose the foundations of modern AI along with enough attention to the recent explosion of machine learning techniques such as deep learning, artificial neural network, etc. Students will have a good understanding of the fundamental issues and challenges of machine learning. Students will be able to design and implement various machine learning algorithms in a range of real-world applications. This program will make the students understand regarding the strength and weaknesses of many popular machine learning approaches. This program will also imparts the knowledge of basic ethical and professional ethics related to the development and application of AI and ML. The program content has the ability to adapt, contribute and innovate new technologies and systems in the key domain of AI and ML. The core knowledge of this program will explore research areas and produce an outstanding contribution in various areas of Artificial Intelligence and Machine Learning. The students who will graduated from this program will become expert solution providers and entrepreneurs in the field of Computer Science with AI/ML specialization.

Syllabus Download

Objective of Program

The core objective of the MSC in AI & MLprogramme is to prepare the students for productive career in AI and ML, Research and academia by providing an outstanding environment to teaching and research in the core and emerging are as of the discipline.

Program Outcome

PO1 : Fundamental Knowledge Enrichment
Program trains students with the core Artificial Intelligence and Machine Learning domain. It also makes students capable of using core concepts in the conceptualization of domain specific application development.
PO2 : Critical Thinking Development
The program develops the skills of critical thinking, problem solving, evaluative learning of various techniques, and understanding the essence of the problem.
PO3 : Advanced Emerging Technology Awareness The program trains students with the latest technologies that is being used in the industry. The continuous syllabi review adds value to the program for the outgoing students and make them ready to face challenging demands of the industry.
PO4 : Advanced Tools Usage The program teaches the students to apply the advanced tools to solve real world problems.
PO5 : Nurturing Research Oriented Approach The program trains students to develop research oriented approach which will help them to make user centric applications.
PO6 : Real World Problem / Project Development Real world project provides the candidates exposure to work in the challenging and demanding environment of the industry. The project development training makes students employable and industry ready.
PO7 : Team Work and Leadership Development Trains students to work in a team and also to take leadership of the of the project management team.

Program Specific Outcome

PO1 : Fundamental Knowledge Enrichment
Program trains students with the core Artificial Intelligence and Machine Learning domain. It also makes students capable of using core concepts in the conceptualization of domain specific application development.
PO2 : Critical Thinking Development
The program develops the skills of critical thinking, problem solving, evaluative learning of various techniques, and understanding the essence of the problem.
PO3 : Advanced Emerging Technology Awareness
The program trains students with the latest technologies that is being used in the industry. The continuous syllabi review adds value to the program for the outgoing students and make them ready to face challenging demands of the industry.
PO4 : Advanced Tools Usage
The program teaches the students to apply the advanced tools to solve real world problems.
PO5 : Nurturing Research Oriented Approach
The program trains students to develop research oriented approach which will help them to make user centric applications.
PO6 : Real World Problem / Project Development Real world project provides the candidates exposure to work in the challenging and demanding environment of the industry. The project development training makes students employable and industry ready.
PO7 : Team Work and Leadership Development Trains students to work in a team and also to take leadership of the of the project management team.

Intake

: 40

Program Duration

2 year (4 Semesters)

Program Features

122 credit program (4 semesters)
Total 17 courses covering various technologies
10 Practical courses
Practical learning experience with
The core objective of the MSC in AI & MLprogramme is to prepare the students for productive career in AI and ML, Research and academia by providing an outstanding environment to teaching and research in the core and emerging are as of the discipline.

Eligibility Criteria

Passed BCA/Bachelor Degree in Computer Science Engineering or equivalent Degree.
OR
Passed Graduation or Post Graduation with Mathematics or Statistics as a principal Subject
OR
Passed Graduation or Post Graduation in Engineering

Admission Details

On the basis of the Merit of the graduation Marks

Fee Structure *

Fees : Rs. 60,000/- per Year (Rs. 30,000/- per Semester) + Examination and University Fees

*Subject to Revision Periodically

Ph.D.

Ph.D. programme is aimed towards promoting high quality research computer science and applications. It will help researchers develop critical thinking skills that will help in their research. The researchers will be capable of undertaking various research projects that will benefit the society. The department offers an interdisciplinary exposure to research that will help in building a career in academia, or R&D sectors of industry. The Department offers PhD programme in regular and part time modes.

Syllabus Download

Objective of Program

Ph.D. programme is aimed towards promoting research activities. It will help researchers develop critical thinking skills that will help in their research. The researchers will be capable of undertaking various research projects that will benefit the society.

Program Outcome

PO1: Fundamental Knowledge Enrichment
Program trains students with the core computer science and Information Technology (IT) knowledge domains. It also makes research scholars capable of using core concepts in the conceptualization of domain specific research.

PO2: Critical Thinking Development
Critically apply theories, methodologies, and knowledge to address fundamental questions in their primary area of study.

PO3: Knowledge and Intellectual Abilities
The knowledge, intellectual abilities, and techniques to carry out excellent research.

PO4: Advanced Tools Usage
The program teaches the researchers to apply the advanced tools to solve research problems.

PO5: Research governance and organisation
The knowledge of the standards, requirements and professional conduct that are needed for the effective management of research.

PO6: Undertake Research Projects
Develop skills to lead research projects within specified limits and participate constructively in more complex interdisciplinary research projects.

PO7: General Competence
Train researchers to conduct their research in accordance with recognized ethical standards for research.

Program Specific Outcome

PSO1 : Develop and strengthen the fundamental core concepts that are required to solve research problems.

PSO2 : Develop skills that needs independent logical and analytical thinking to solve research problems.

PSO3 : Nurture the researchers to investigate for the design and development of a workable solution for a research problem.

PSO4 : Train researchers for self-learning and performing challenging problem solution in their research area.

PSO5 : Train researchers to use recent computer science and application domain specific knowledge in their research problem.

PSO6 : Train researchers to take-up the real-world challenges to develop workable solution to a domain specific research problem.

PSO7 : Inculcate the passion for continuous learning and doing research for making a successful professional career.

Program Duration

Ph.D. programme shall be for a minimum duration of three years, including course work and a maximum of six years.

Extension beyond the above limits may be granted by Hon. Vice Chancellor on recommendation of the Research Supervisor and Research Advisory Committee for the maximum of another two (2) years.

The women candidates and Persons with Disability (more than 40% disability) shall be allowed a relaxation of two years for Ph.D. in the maximum duration. In addition, the women candidates shall be provided Maternity Leave/Child Care Leave once in the entire duration of Ph.D. for up to 240 days.

Ph.D. Coursework ▾

Course Code	Course Title	Outcome	Credit
I	Research Methodology	CO1: Discuss different methodologies and techniques used in research work. CO2: Explain basic computer skills necessary for the conduct of research. CO3: Assess the basic function and working of programming and analytical software used in research. CO4: Propose the required numerical skills necessary to carry out research. CO5: Organize and conduct research in an organized and ethical manner.	100
Elective-I	Advanced Web Technology	CO1: Explain researchers the Advanced aspects of the Web based Technology. CO2: Train various web technologies like Java, Microsoft .NET and Open-Source PHP in the aspects of Performance, Security, System Resource Requirement etc. CO3: Train various advanced web technologies like Swing, Silverlight, AJAX, JQuery, MVC etc. CO4: Explain and train researchers to deal with possible problems & their solutions while developing websites. CO5: Expose the researchers with the analysis and development process of Websites and recent trends in Markup Languages.	100
Elective-II	Operating Systems	CO1: Explain and train the researchers with different implementations of the policies for scheduling, process synchronization, deadlocks, memory management, system calls, and file systems. CO2: Expose the researchers with the core concepts of multi-processing/multithreading, that will help them to manage and synchronize the concurrent tasks/transactions while developing professional program of their research problem using any platform. CO3: Impart knowledge of various algorithms for memory management that will make the researchers efficiently utilize memory while developing a software. CO4: Expose the researchers with the core concepts of distributed systems and distributed resource management. CO5: The researchers will be able to compare various Operating Systems in the aspects of Memory Management, File System and Security.	100
Elective-III	Database Concepts and Knowledge Management	CO1: The researchers will get an insight on how the data is stored in various types of Files. CO2: The researchers will get an insight of internal structure of various types of indices, their merits, and demerits. They will understand how these indices will be affected and updated whenever the data is updated. CO3: The researchers will be able to optimize query which will, in turn, help in improving the performance of the overall system. CO4: The researchers will study recent trends in database. They will also get an idea about the Spatial & Temporal Data. CO5: This course will help the researchers to understand the internal working of data storage and indices. This will help them in choosing an appropriate database for their research.	100
Elective-IV	Object-Oriented Programming Methodology	CO1: The researcher will get an insight into the principles of Object-Oriented Problem solving and programming. CO2: The researcher will be able to compare the object-oriented features of at least three programming languages. CO3: The researcher will be able to compare and implement advanced object-oriented features like generic programming across at least three programming languages. CO4: The researcher will be able to understand and study the object-oriented features incorporated in various Database Management Systems. CO5: The researcher will be able to do gap analysis and proceed further in Research area of Object-Oriented Methodology and Data Management.	100
Elective-V	Digital Image Processing	CO1: Explain the fundamentals of digital image and its processing. CO2: Perform image enhancement techniques in spatial and frequency domain. CO3: Explain the mathematical modelling of image restoration and compression. CO4: Apply the concept of image segmentation. CO5: Describe object detection and recognition techniques.	100
-	Dissertation		400

Eligibility Criteria

Candidates for admission to the Ph.D. programme shall have a Master's degree or a professional degree declared equivalent to the Master’s degree by the corresponding statutory regulatory body in concerned subject, with at least 55% marks in aggregate or its equivalent grade 'B' in the UGC 7-point scale (or an equivalent grade in a point scale wherever grading system is followed) or an equivalent degree from a foreign educational Institution accredited by an Assessment and Accreditation Agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country for the purpose of assessing, accrediting or assuring quality and standards of educational institutions.

A relaxation of 5% of marks, from 55% to 50%, or an equivalent relaxation of grade, may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/Differently-abled and other categories of candidates as per the decision of the Commission from time to time, or for those who have obtained their Master's degree prior to 19th September, 1991. The eligibility marks of 55% (or an equivalent grade in a point scale wherever grading system is followed) and the relaxation of 5% to the categories mentioned above are permissible based only on the qualifying marks without including the grace marks.

Candidates possessing a Degree considered equivalent to M.Phil. Degree of an Indian Institution, from a Foreign Educational Institution accredited by an Assessment and Accreditation Agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country for the purpose of assessing, accrediting or assuring quality and standards of educational institutions, shall be eligible for admission to Ph.D. programme.

Candidates who qualify for teachers’ fellowship of UGC, or who have passed UGC / CSIR (JRF) examination, NET/SLET/GATE, NET conducted by any National Body or who have the M.Phil. Degree from a recognized university shall be exempted from the entrance test, but they shall have to present research proposal before the Research Advisory Committee.

Notwithstanding anything contained above, a student who has passed the Master's Degree Examination in any subject may be permitted on the recommendation of the Board of University Teaching to register for an allied subject under the same and/ or other Faculty for the Ph.D. degree.

A candidate desirous of pursuing interdisciplinary and multidisciplinary research shall submit application with justification well in advance. Formal application will be subject to the approval and conditions specified by the RAC of concerned subject.

Admission Details

University shall conduct an entrance test (offline or online). The Syllabus of the entrance test shall consist of 50% of Research Methodology and 50% shall be subject specific.

The admission shall be based on the criteria notified by the University, keeping in view the guidelines/norms in this regard issued by the UGC and other statutory bodies concerned, and taking into account the reservation policy of the Central/State Government from time to time.

All the qualified candidates shall present research proposal before Research Advisory Committee.

All the candidates who have been recommended by RAC for admission to Ph.D. program shall have to attend Pre-Registration course work and shall have to appear for the examination of Pre-Registration course work. The candidate shall have to pass the Pre-Registration course work examination in maximally two attempts (including the regular one). The Syllabus of Pre-Registration course work shall be in accordance to the notification of UGC.

Presentation of the research proposal shall be assessed by the Research Advisory Committee. Considering the aforesaid method of merit calculation the Research Advisory Committee shall submit a report consisting of the presentations by the candidates and the list of the candidates recommended for admissions, along with the list of the respective Research Supervisors. On the basis of the report of the Research Advisory Committee, the final list of admitted candidates shall be declared. On successfully completion of preregistration course work the candidate shall be finally registered.

If any seat/s remains vacant after the last date of registration, waiting list will be operated for a period of thirty days from formally announced last date of registration. However, if the seats allotted for SC / ST / OBC (Non Creamy layer) / Differently-abled categories remain unfilled, a Special Admission Drive, for that particular category, shall be conducted within one month from the date of closure of admissions. Even after special drive the seats allotted for SC / ST / OBC (Non Creamy layer) / Differently-abled categories remain unfilled, such seats shall not be converted to any other category and shall be kept vacant.

For additional details refer Ph.D. Ordinance available on the university website.

Reservation Policy

Reservation will be based on the Reservation Policy by Government of Gujarat.

Fee Structure *

Rs. 8,000/- per term.

*Subject to Revision Periodically

Vibrant and Conducive Atmosphere for Research

The department of Computer Science is conducive place for research in various areas of Computer Science and Technology. The major areas of research in the department are Optical Character Recognition, Natural Language Processing, Data Mining, Text Mining, Web Mining, Software Engineering, Artificial Intelligence, Soft Computing, Databases etc. The faculty members and their research scholars have published many research papers in National & International Journals and Conferences. As many as nine books have been authored by the faculty members of the department. . Researchers in the department are mostly working in the areas like Image processing, Databases, Web Mining and Information Retrieval, IDS, Natural Language Processing, Wireless sensor network.

Considering the research that is carried out in the department of Computer Science, the UGC awarded the department with the status of Special Assistance Program (SAP DRS-I) in the thrust area of Natural Language Processing and Data Mining for the duration 2012 – 2017. Subsequently, SAP –DRS-II was also awarded to the department for the period of 2018 – 2022 for the thrust area of Computer Vision and Digital Image Processing. The faculties of the department are also working on the research projects funded by the various finding agencies.

The department is also conducting conferences and workshop in the thrust areas of the SAP and also in the other emerging areas of Computer Science. These events provides researchers a platform to showcase their research work before the leading academicians and industry technocrats.

Details since 2015

Extraction and Recognition of Handwritten Gujarati Characters and Numerals from Images Using Deep Learning, Shukla Deepika, Desai Apurva, Proceedings of the International e-Conference on Intelligent Systems and Signal Processing. Advances in Intelligent Systems and Computing,Vol 1370, 657-669, 2021, Springer, Singapore
An Improvement of Link Analysis Algorithm to Mine Pertinent Links: Weighted HITS Algorithm based on additive fusion of graphs by Query Similarity,Patel Hemangini,Desai Apurva, International Journal of Computer Applications, 176,24,21-27,2020
Segmentation of Frequently Used Handwritten Gujarati Conjunctive Alphabet, Parikh Megha, Desai Apurva, 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA),2020
Impact of Shadow Detection and Removal on Object Recognition Using Machine Learning from Images, Shukla Deepika, Desai Apurva, International Journal of Imaging and Robotics,19,2,29-39,2019
Link Analysis to discover relevant documents using Information Retrieval, Patel Hemangini, Desai Apurva,International Journal of Computer Applications,178, 10, 23-27, 2019
Evaluation of various features of Gujarati continuous numerals speech signal used for segmentation, Patel Bharat, Desai Apurva, International Journal of Research and Analytical Reviews,6, 2, 58-67,2019
Performance analysis of various wavelet filters for Gujarati text localization in images International,Patel Jagin, Desai Apurva, Journal of Research and Analytical Reviews, 6, 2, 96-100, 2019
Online handwritten Gujarati word recognition, Naik Vishal, Desai Apurva, International Journal of Computer Vision and Image Processing (IJCVIP), 9, 1, 35-50, 2019
Online Handwritten Gujarati Numeral Recognition Using Support Vector Machine, Naik Vishal, Desai Apurva, International Journal of Computer Sciences and Engineering, Open Access, 6, 9, 416-421, 2018
Multi-layer Classification Approach for Online Handwritten Gujarati Character Recognition, Naik Vishal, Desai Apurva, Computational Intelligence: Theories, Applications and Future Directions-Volume II, 595-606, 2018, Springer, Singapore
Rule based Gujarati morphological analyzer, Kapadia Utkarsh, Desai Apurva, International Journal of Computer Science Issues, (IJCSI), 14, 2, 30, 2017
WHITS Algorithm for Detecting Web Communities: Using Link Structure Analysis by double weighting of links, Patel Hemangini, Desai Apurva, International Journal of Computer Applications Technology and Research, 6, 7, 316-325, 2017
Pattern mining using Linked list (PML) mine the frequent patterns from transaction dataset using Linked list data structure, Sandip Surati, Apurva Desai, 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 01-Jun, 2017
Online handwritten Gujarati character recognition using SVM, MLP, and K-NN, "Naik, Vishal, Desai Apurva, 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 01-Jun, 2017
Human Computer Interaction through hand gestures for home automation using Microsoft Kinect, Desai Smit, Desai Apurva, Proceedings of International Conference on Communication and Networks, 19-29, 2017, Springer, Singapore
Recognition of fruits using hybrid features and machine learning, Shukla Deepika, Desai Apurva, International Conference on Computing, Analytics and Security Trends (CAST), 572-577, 2016
Latest Survey on Frequesnt Pattern Mining : Mine the Frequent Patterns from Transaction Database, Surati Sandip,Desai Apurva, VNSGU Journal of Science and Technology, 4, 1, 01-Jul, 2015
Morphological Rule Set and Lexicon of Gujarati Grammar: A Linguistics Approach, Kapadia Utkarsh, Desai Apurva, VNSGU Journal of Science and Technology, 4,1,127-133, 2015
Review On Generic Object Recognition Techniques Challanges and Opportunities, Shukla Deepika, Desai Apurva, International Journal of Advanced Research in Engineering and Technology, 6, 12, 104-133,2015
Support vector machine for identification of handwritten Gujarati alphabets using hybrid feature space, Desai Apurva, CSI transactions on ICT, 2, 4, 235-241, 2015, Springer
Integrating Computer Vision and Natural Language Processing : Issues and Challenges, Dipeeka Shukla, Apurva Desai, VNSGU Journal of Science and Technology, 4,1, 190-196, 2015
Morphological Rule Set and Lexicon of Gujarati Grammar : A linguistics Approach, Kapadia Utkarsh, Desai Apurva, VNSGU Journal of Science and Technology, 4,1,127-133, 2015
Segmentation Guajarati Words from Continuous spoken Gujarati Speech Signals, Patel Bharat, Desai Apurva, VNSGU Journal of Science and Technology, 4,1, 106-122, 2015
An Anchor Based Information Retrieval for Link Analysis : A Survey, Patel Hemangini, Desai Apurva, , VNSGU Journal of Science and Technology, 4,1, 22-35, 2015
Steganography of Images Using Hilbert Curve, Desai Hardik, Desai Apurva, VNSGU Journal of Science and Technology, 4,1, 8 -21, 2015
Latest Survey on Frequent Pattern Mining : Mine the Frequent Patterns from Transaction Database, Surati Sandip, Desai Apurva, VNSGU Journal of Science and Technology, 4,1, 1-7, 2015
Comparative Study of Role Based Access Control in Cloud Databases and NOSQL Databases,Gayatri Kapadia, R D Morena,,0976-5697,International,IJARCS,Volume Issue 5,,June 2017
A Survey of Association Rule Mining Algorithms,Jalpa Pandya, R D Morena,0976-5697,International,IJARCS,Volume 8 Issue 5,June 2017
Issues with Concurrency Control Techniques,Sonal Kanungo, R D Morena,2454-1222,International,IJEECSE,Special Issue AET-2017,June 2017
A Novel Hybrid Method for Generating Association Rules for Stock Market Data,Jalpa Pandya, R D Morena,,2278-2540,International,IJLTEMAS,Volume 6 Issue 7s,,Jul 2017
A Survey of Database Cache Management,Priti Tailor, R D Morena,,0976-5697,International,IJARCS,Volume 8, Issue 3,1.4.17
A Study on Constrained Frequent Pattern Mining of Streaming Data,Priti Tailor, R D Morena,,2320-5822,International,JGRCS,Vol : 8 No. 9,Sep 2017
Survey on Various Integrity Constraints on Various Object Oriented Database,Vaishali Dindoliwala, R D Morena,,2229-371X,International,IJRCS,Volume 8 No.11,,Nov 2017
Comparative Study of Integrity Constraints, Storage and Profile Management of Relational and Non-Relational Database Using MongoDB and Oracle,Vaishali Dindoliwala, R D Morena,International journal of Computer Sciences and Engineering,831-837,Vol. 6, Issue 7,01/07/2018
Evaluation of Multiversion Concurrency Control Algorithms,Sonal Kanungo, R D Morena,International journal of Research in Electronics and Computer Engineering,807-813,VOL. 6 ISSUE 3 ,01/09/2018
Comparative Study of Caching Mechanism of Relational and NoSQL Database Using Oracle and MongoDB,Prity Tailor, R D Morena,National Conference on Emerging Technologies in IT 2019,107-116, ,01/01/2019
Survey on NoSQL Document Store Databases-MongoDB,CouchDB and RavenDB,Vaishali Dindoliwala, R D Morena,National Conference on Emerging Technologies in IT 2019,122-131, ,01/01/2019
Use of Appropriate Loss Function in Rainfall Prediction using Deep Learning,Vimal D Patel, R D Morena,IJEAT,2021
Trend Analysis and Prediction of Rainfall Using Genetic Algorithm,Vimal D Patel, R D Morena,International Conference on Science, Technology and Innovation,2021
Privacy preserving data mining: techniques, classification and implications-a survey, Alpa Shah, Ravi Gulati, Int. J. Comput.Appl,137(12),40-46, Nov 2016
Script identification using Gabor feature and SVM classifier, Procedia Computer Science, S Chaudhari and RM Gulati,79,85-92,2016
Data mining techniques for diagnostic support of glaucoma using stratus OCT and perimetric data, International Journal of Computer Applications, K Chauhan, P Chauhan, A Sudhakar, K Lad, R Gulati,151,0975-8887, Oct 2016
Measuring Spatial Correlation of Soil pH and Fe using Theoretical Variograms, Jayshree Tailor, Kalpesh Lad and R M Gulati, International Journal of Computer Science and Network (IJCN), 533-538,8,5, Oct 2017,4,7
Detection of Glaucoma from Retinal Fundus , Images by analysing ISNT Measurement and features of Optic Cup and Blood Vessels,Kartik Thakkar, Kinjan Chauhan, Anand Sudhalkar and R M Gulati,487-493,7,4,Jul 2017
iHiMod Perturb: Histogram Modification Based Reversible Data Perturbation Algorithm For Adaptable Privacy Preservation and Integrity,Dr Alpa K Shah and Dr Ravi M Gulati, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, November 2019
Discovering Performance Indicator for web Performance Analysis with idyllic measurements,Patel Charmy S and Gulati Ravi M,VNSGU Journal of Science and Technology,Vol 5,No 1,86-93,July 2016
A Comparative Analysis of Feature Extraction Techniques and Classifiers Inaccuracies for Bilingual Printed Documents (Gujarati-English),Shailesh A. Chaudhari and Ravi M. Gulati,International Journal of Applied Information Systems (IJAIS),Vol ICCCV2016, No. 1,16-20, July 2016
Web Usage Mining using Fuzzy Approach-A Survey,Hardik Gangadwala & Ravi Gulati,International Journal of Computer Science & Engineering (IJCSE),Vol 7, Issue 4 ,1082-1087,Apr-19/li>
Exploring Sub Dominant Community on Web Graph: Using Link Structure and Usage Analysis, Nimisha Modi, BIJIT - BVICAM’s International Journal of Information Technology , Vol. 7, 886-890, 2015
Relative Study Of Various Web Structure Mining Algorithms ,PANCHOLI Vishal R., CHAUDHARI Vimal,VNSGU Journal of Science and Technology,77-82,4,1,1,July 2015
COMPARATIVE STUDY OF DIFFERENT CLASSIFIRES: AN APPLE FRUIT AS CASE STUDY,Chirag C. Patel1 , Dr. Vimal K. Chaudhari2,International Journal of Creative Research Thoughts,2nd April 2018
Fruit Identification using Multi-Class SVM,Chirag C. Patel1 , Dr. Vimal K. Chaudhari2,INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING (IJRECE),,7,2,(APRIL-JUNE 2019)
Comparative Analysis of Fruit Categorization Using Different Classifiers,Chirag C. Patel1 , Dr. Vimal K. Chaudhari2, ,Advanced Engineering Optimization Through Intelligent Techniques,153-164,,, 10 July 2019
Rule based Gujarati morphological analyzer, Kapadia U, Desai A, International Journal of Computer Science Issues, (IJCSI), 14, 2, 30, 2017
Morphological Rule Set and Lexicon of Gujarati Grammar: A Linguistics Approach, Kapadia U, Desai A, VNSGU Journal of Science and Technology, 4,1,127-133, 2016
Clustering NSE scripts using K-means algorithm with KD-tree,Rana P. C. and Morena Rustom D.,VNSGU Journal of Science and Technology,134-140,4,1,July 2015
TRIPLEPR- MAC: A Triple Queue Priority Based Medium Access Control Protocol for Wireless Sensor Network,Mrs. Rinku Patel and Dr. Nirav Bhatt,International Journal of Sensors, Wireless Communications and Control,1-16,11,1,March 2021
Energy Efficient Quality Assurance MAC Protocols in WSN.,Mrs. Rinku Patel and Dr. Nirav Bhatt,International Journal of Engineering and Advanced Technology.,2090 -2097
Design and Implementation of QoS Aware Priority based MAC for Delay Sensitive Areas of WSN,Mrs. Rinku Patel and Dr. Nirav Bhatt,International Journal of Advanced Networking and Applications,3411-3420,9,3,Nov-2017
Wireless Sensor Network MAC Survey,Mrs. Rinku Patel and Dr. Nirav Bhatt,International Journal of Advanced Research in Computer Science and Software Engineering,872-878,6,5,May 2016
Prototype of MAC Protocols using reliable and throughput aware Protocols in Wireless,Ms. Rinku Patel and Dr. Kamaljit Lakhtaria,National Conference on Recent trends in Information Technology, Organized by School Of information Technology,Feb 2015,AURO University, Surat
Research Review on Text-to-Speech Systems and Speech Synthesizing Techniques,Ms. Gargi B. Shah & Dr.Priti S. Sajja,International Journal of Research in Engineering, IT and Social Sciences (IJREISS) Journal No. : 42301,41-47,8,1,22/01/2018
Implementation of Words and Characters segmentation of Gujarati Script using MATLAB,Ms. Gargi B. Shah & Dr.Priti S. Sajja,Innovative Data Communication Technologies and Application,247-256,46,1,31/01/2020

Details since 2015

Major Research Project
Principal Investigator: Dr. A. A. Desai
Title : Gujarati Handwritten Optical Character Recognition
Funding Agency : UGC
Funds Senctioned : Rs. 7,40,000
Duration : 2011 to 2017
Status : Completed

Special Assistance Program (SAP DRS-I)
Principal Investigator: Dr. A. A. Desai
Co-Investigator: Dr.R.D.Morena
Trust Area : Digital Image Processing & Data Mining
Role : Principal Investigator
Funding Agency : UGC
Funds Senctioned : Rs. 46,40,000
Duration : 2011 to 2017
Status : Completed

Special Assistance Program (SAP DRS-II)
Principal Investigator: Dr. A. A. Desai
Co-Investigator: Dr.R.D.Morena
Trust Area : Digital Image Processing & Natural Language Processing
Role : Principal Investigator
Funding Agency : UGC
Funds Senctioned : Rs. 46,40,000
Duration : 2018 to 2022
Status : Ongoing

Minor Research Project
Principal Investigator: Dr. N. A. Modi
Title : Digital Document Categorization and Ranking Using Citation Information
Funding Agency : UGC
Funds Senctioned : Rs. 40,000
Duration : 2015 to 2017
Status : Completed

Details since 2015

Dr. A. A. Desai

“Gujarati Grammar Analysis”, STTP on Natural Language Processing: Recent Advancements and Challenges, School of Engineering, P P Savani University, 1st March, 2021
"Recent Developments in Computer Science Research", International Conference on Emerging Issues In Development For Future Generation, J.Z. Shah Arts and H.P. Desai College of Commerce and The International Institute for Development Studies, Amaroli, Surat, 11 February, 2020
“Natural Language Processing”, Faculty Development Program, Symbiosis Institute of Computer Studies and Research, Pune, 26 October, 2020
“Criteria 5 - Student Support and Prograssion”, Workshop on How to Prepare Self Study Report (SSR) by Knowledge Consortium of Gujarat, Ahmedabad, 22 May, 2019
“ICT Based Teaching-Learning Process”, Faculty development program “CPE Faculty Development Program”, J.P. Shorff Arts College, Valsad, 15 March, 2019
“Paradigm Shift in Computer Science Research”, Conference on Recent Trends in Pure and Applied Science (RTPAS-2019), Bhgwan Mahavir College of Science and Technology, Surat, 24 February, 2019
“Machine Learning Techniques and Applications”, International Conference, Auro University, Surat, 18 January, 2019
“Machine Learning Techniques and Applications“, National Conference on Advanced Trends and Challenges in computer science, Shirpur, Maharastra, 19 November, 2018
"Binary Morphology in Computer Vision", Navyug Science College, Surat, 22 February, 2016
"Digital Image Processing and Its Applications in City Surveillance", National Conference NCSCA–16, CHARUSAT, Chnaga, 5 February, 2016
“Binary Morphology in Computer Vision”, Annual Convention of Gujarat Ganit Madal, Valsad, 25 December, 2015
“Use of ICT in safety of a City”, Refresher Course, HRDC, Gujarat University, Ahmedabad, 26 September, 2015
“Use of ICT in safety of a City”, Refresher Course, HRDC, S.P. University, Vallabh Vidhyanagar, 14 September, 2015
“Experimental Research and Natural Language Processing”, Sarvajanik College of Engineering and Technology, Surat, 21 August, 2015
“Optical Character Recognition : Issues and Solutions”, 1st National Conference on Recent Trends in Information Technology”, Auro University, Surat, 21 February, 2015

Dr. R. M. Gulati

Title of e-content: Introduction to DBMS using MS Access, Resource person in the UGC Sponsored 1st Online Refresher Course in ICT from 07.09.2020 to 20.09.2020
Title of e-content: MS Access 2007, Resource person in the UGC Sponsored 1st Online Refresher Course in ICT from 07.09.2020 to 20.09.2020
Expert Talk on "Dealing with Imprecise Queries using Fuzzy Set Theory" in Lecture Series during the pandemic COVID-19 on 14.04.2020 organized by Bhagwan Mahavir College of Computer Application.

Dr. V. K. Chaudhari

"Machine Learning Using Orange Software",Workshop, DBIM, VNSGU,Surat,22-23-Sep-17

Details since 2015

Awarded

Sr.No.	Research Scholar	Name of Guide	Title	Year
1	Patel Jagin	Dr. A. A. Desai	Segmentation And Recognition Of Printed Gujarati Text From Images	2021
2	Surati Sandip	Dr. A. A. Desai	Frequent Pattern Mining Usinglinked List : Generate Frequent Patterns Using Linked List Structure	2020
3	Patel Bharat	Dr. A. A. Desai	Recognition Of Continuous Spoken Gujarati Numerals And To Translate Them Into Textual Form	2020
4	Naik Vishal	Dr. A. A. Desai	Online Handwritten Word Recognition System For Gujarati	2020
5	Priti Tailor	Dr. R. D. Morena	An efficient Buffer Cache Management Strategy for document Oriented Nasal Databases	2020
6	Dindoliwala Vaishali	Dr. R. D. Morena	An Efficient Strategy for Ensuring Integrity of Data In Document Oriented NoSQL	2020
7	Deepika Shukla	Dr. A. A. Desai	Study And Enhancing The Performance Of Object – Fruit Recognition From Images	2019
8	Tejash Shah	Dr. S. V. Patel	Design of a Security and Privacy Aware Service Oriented Requirement Engineering framework	2019
9	Shailesh Chaudhari	Dr. R. M. Gulati	Character Level Script Identification and Character Recognition from Bilingual Printed Gujarati-English Text	2019
10	Alpa Shah	Dr. R. M. Gulati	A Reversible Data Perturbation Model for Adaptable Privacy Preserving Data Mining	2019
11	Patel Hemangini	Dr. A. A. Desai	Mining Pertinent Links From Web For Information Retrieval Using Link Analysis	2018
12	Parul Patel	Dr. S. V. Patel	Temporal Information Retrieval System	2018
13	Dhaval Joshi	Dr. S. V. Patel	Design and Development of Schema Matching and Migration as a Service for Heterogenic ous Relational Databases of Legacy Application and Cloud Based Publication	2018
14	Payal Joshi	Dr. S. V. Patel	Intelligent information Retrieval in BI-Lingual Digital Library	2018
15	Sonal Sharma	Dr. R. D. Morena	High Performance Concurrency Control Technique for Object Oriented Database Management System	2018
16	Kapadia Utkarsh	Dr. A. A. Desai	Natural Language Grammar Inference For Gujarati Script : Neural Network Approach	2017
17	Vina Jokhakar	Dr. S. V. Patel	Analysis of Mild Steel Products Defects using Business intelligence tools and Techniques	2017
18	Charmi Patel	Dr. R. M. Gulati	WebN - Performance Monitoring & Analysis through Augmented Matrices for Webpage Optimization	2017
19	Charmi Patel	Dr. R. M. Gulati	WebN - Performance Monitoring & Analysis through Augmented Matrices for Webpage Optimization	2017

Pursuing

Sr.No.	Research Scholar	Name of Guide
1	Dharmen Shah	Dr. A. A. Desai
2	Sangita Makhija	Dr. A. A. Desai
3	Nikisha Mithaiwala	Dr. A. A. Desai
4	Megha Parikh	Dr. A. A. Desai
5	MBhautika Patel	Dr. A. A. Desai

Placement

The placement cell of the department of computer science at Veer Narmad South Gujarat University is very vibrant and active. This cell facilitates the students for their project (internship) and final placement. Many recruiters visit department for the placement of final year students when they are in their 3rd semester. They visit the department both for six month long project (internship) and final recruitment. The department has a functional Memorandum of Understanding (MoU) with some of the recruiters for placement of students.

Normally the department initiates placement process of final year student in the month of August/September every year. The department of computer science welcomes inquiry from all the prospective recruiters. The department will be delighted to assist you for the placement activities.

Placed Students : 57

Academic Year : 2016-2017

Roll No.	Student Name	Programme	Company	Package
42	Patel Kishankumar Dineshbhai	MCA	TechHive Surat	-
57	Patel Rahulbhai Bachubhai	MCA	TechHive Surat	-
10A	Goti Umeshbhai Goradhanbhai	MCA	Axelor Technologies India Pvt. Ltd. Surat	-
10B	Chavada Shamajibhai Veljibhai	MCA	TechHive Surat	-
11B	Donda Hinaben Dineshbhai	MCA	TechHive Surat	-
12A	Jogiya Hiren Kantilal	MCA	Divinity Soft.	-
13A	Joshi Niket Bharatkumar	MCA	TRIMANTRA SOFTWARE SOLUTION	-
14B	Gandhi Akshay Bharatkumar	MCA	Axelor Technologies India Pvt. Ltd. Surat	-
15A	Kholiya Dhavalkumar Dayaljibhai	MCA	TRIMANTRA SOFTWARE SOLUTION	-
15B	Gajera Priyesha Dilipbhai	MCA	TechHive Surat	-
16B	Ghodkar Shweta Ravindrabhai	MCA	Bigscal	-
17A	Makavana Vishal Shantilal	MCA	Divinity Soft.	-
18A	Mali Vishalkumar Prakashbhai	MCA	TRIMANTRA SOFTWARE SOLUTION	-
1B	Akhade Priyanka Rajendrabhai	MCA	I3 Infotech Surat	-
20A	Padia Priya Nayankumar	MCA	SSM Infotech	-
20B	Karia Nikita Rajkumar	MCA	Narola Infotech Surat	-
22A	Panchal Urmish Ashokbhai	MCA	Netsol IT	-
22B	Khan Sana Kauser Shafique Ahmed	MCA	Tenacious Techies Surat	-
23A	Pandey Jyoti Ghanshyam	MCA	I3 Infotech Surat	-
23B	Khanpara Jigar Jatinkumar	MCA	Narola Infotech Surat	-
25B	Gangani Bhumikaben Vanmalibhai	MCA	TechHive Surat	-
27B	Mistry Ekta Birenbhai	MCA	SSM Infotech	-
28A	Patel Deep Nareshbhai	MCA	SSM Infotech	-
29A	Patel Dhavalkumar Shantubhai	MCA	I3 Infotech Surat	-
29B	Mistry Vivek Jayeshkumar	MCA	Qodors	-
2A	Asmaniwala Nensi Jayeshbhai	MCA	Kintu Designs Surat	-
32B	Patel Akshay Kantilal	MCA	SSM Infotech	-
33B	Patel Brijeshkumar Rajeshbhai	MCA	I3 Infotech Surat	-
35B	Patel Ekta Kishorbhai	MCA	TRIMANTRA SOFTWARE SOLUTION	-
38A	Patwa Dhruv Satishkumar	MCA	Kintu Designs Surat	-
3A	Bhatt Mrinal Shreyas	MCA	TRIMANTRA SOFTWARE SOLUTION	-
40A	Rana Kunal Manharlal	MCA	MVIX	-
40B	Ladumor Bhartiben Chhaganbhai	MCA	TechHive Surat	-
43A	Sahu Anita Durgaprasad	MCA	SSM Infotech	-
43B	Patel Riddhiben Babubhai	MCA	Kintu Designs Surat	-
44A	Sahu Sankar Arun	MCA	Casepoint Pvt. Ltd.	-
45A	Sharma Hetal	MCA	Bigscal	-
46A	Shekh Imran Shekh Tehsin Shekh	MCA	SSM Infotech	-
47A	Shrimalla Manojkumar Syambhai	MCA	Amrelitech Surat	-
48B	Patel Vinaykumar Rameshbhai	MCA	I3 Infotech Surat	-
4A	Chunawala Ibrahim Jabirbhai	MCA	Potenza Global Solutions	-
50A	Surati Vini Hitendrabhai	MCA	Netsol IT	-
51A	Tagar Prakashsinh Mukhtyarsinh	MCA	I3 Infotech Surat	-
51B	Rajput Santosh Ramsing	MCA	TRIMANTRA SOFTWARE SOLUTION	-
52A	Tailor Aayushi Kiritbhai	MCA	Qodors	-
52B	Rangrej Mohammad Tabish Mohammad Z.	MCA	TRIMANTRA SOFTWARE SOLUTION	-
53A	Tailor Mohitkumar Shaileshkumar	MCA	SSM Infotech	-
53B	Rathod Pritiben Vinodbhai	MCA	SSM Infotech	-
54B	Ronald W Elias	MCA	I3 Infotech Surat	-
57B	Saiyed Mohamedjasir Mohamednisar	MCA	Narola Infotech Surat	-
58B	Sankhla Kirti Umeshchandra	MCA	Tenacious Techies Surat	-
60A	Vankar Jagdish Iswarbhai	MCA	Casepoint Pvt. Ltd.	-
60B	Solanki Jaykumar Hemantkumar	MCA	Axelor Technologies India Pvt. Ltd. Surat	-
61B	Solanki Jigneshbhai Dhansukhbhai	MCA	Gatisoftech Surat	-
6B	Chaudhari Jagdishkumar Cholaram	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
7B	Tandel Savankumar Nathubhai	MCA	TechHive Surat	-
8A	Gamit Mitalben Nimabhai	MCA	Universal Technologies Surat	-

Placed Students : 62

Academic Year : 2017-2018

Roll No.	Student Name	Programme	Company	Package
1	Avinash Kumar	MCA	Casepoint Pvt. Ltd.	-
3	Twinkle Sanjaykumar Champaneri	MCA	NatRIX Software Pvt. Ltd.	-
7	Khushboo Dhirenbhai Desai	MCA	Differenz System Pvt. Ltd.	-
9	Gandhi Kavita Mukeshchandra	MCA	Casepoint Pvt. Ltd.	-
12	Mistry Binal Dipakbhai	MCA	Triveni Global Software Services LLP	-
13	Modi Hemangi Pareshbhai	MCA	NatRIX Software Pvt. Ltd.	-
14	Modi Mansi N.	MCA	Narola Infotech Surat	-
15	Modi Shreya Sanjaykumar	MCA	Varee Infotech	-
16	Vanshree Navik	MCA	STPL	-
19	Khushbu Nareshkumar Pandya	MCA	Differenz System Pvt. Ltd.	-
20	Prachi Vikash Pandya	MCA	Differenz System Pvt. Ltd.	-
21	Parmar Sunilkumar Devjibhai	MCA	Differenz System Pvt. Ltd.	-
22	Patel Asha Vinodbhai	MCA	Triveni Global Software Services LLP	-
25	Patel Sagarbhai Manharbhai	MCA	Casepoint Pvt. Ltd.	-
28	Prajapati Ashish Subhashbhai	MCA	I3 Infotech Surat	-
29	Sunil Kumar Sahu	MCA	Casepoint Pvt. Ltd.	-
31	Sailor Vaidehikumari Kishorbhai	MCA	Zivar	-
32	Prakash Ramesh Bhai Samudre	MCA	Casepoint Pvt. Ltd.	-
33	Sarvaiya Yogesh Naranbhai	MCA	Narola Infotech Surat	-
34	Rajni U. Sharma	MCA	Universal Technologies Surat	-
35	Shukla Sadanand Mahidev	MCA	Casepoint Pvt. Ltd.	-
36	Jyoti Singh	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
37	Sonkushare Hitendra	MCA	NatRIX Software Pvt. Ltd.	-
38	Tailor Heni Ajaybhai	MCA	NatRIX Software Pvt. Ltd.	-
41	Theliwala Krishna Vijaykumar	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
42	Vekariya Daxesh Chandubhai	MCA	Narola Infotech Surat	-
44	Naitik M Bhatporiya	MCA	Casepoint Pvt. Ltd.	-
47	Khyati Ketankumar Ghael	MCA	Triveni Global Software Services LLP	-
49	Vishnu Divyeshbhai Mavawala	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
51	Varsha Om Ladha	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
52	Alok Manoj Panday	MCA	Casepoint Pvt. Ltd.	-
53	Pande Karankumar Ashokbhai	MCA	Casepoint Pvt. Ltd.	-
57	Patel Mayurikumari Sanmukhbhai	MCA	Narola Infotech Surat	-
58	Patel Neel Pravin	MCA	TechHive Surat	-
60	Zinali Bharatbhai Patel	MCA	WebAshlar	-
61	Nirav Patil G	MCA	I3 Infotech Surat	-
64	Sheth Shelja Dharmeshkumar	MCA	Triveni Global Software Services LLP	-
65	Padhi Jyoti Sitaram	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
68	Mukesh Mahendra Singh	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
69	Deeksha Goel	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
71	Patel Dhwanil Kiritbhai	MCA	Narola Infotech Surat	-
74	Patel Roshni Bhupatbhai	MCA	Narola Infotech Surat	-
79	Yadav Nenshi Premdas	MCA	Qodors	-
83	Bardoliya Manav Rajeshkumar	MCA	Prosol Techline	-
84	Bhaskar Dhara M	MCA	WebAshlar	-
85	Chauhan Vatsal Anilkumar	MCA	NatRIX Software Pvt. Ltd.	-
86	Sahil Joginder Singh Gulati	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
90	Gandhi Dinaz Anilkumar	MCA	WebAshlar	-
91	Trusha Icecreamwala	MCA	Triveni Global Software Services LLP	-
92	Chopra Rishabh	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
94	Kayasth Nidhi Mukeshbhai	MCA	Differenz System Pvt. Ltd.	-
95	Maheta Amit R.	MCA	WebAshlar	-
96	Mishra Rashika Pradeepkumar	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
97	Moxa Mehta	MCA	WebAshlar	-
98	Kahar Pooja Bipinchandra	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
99	Mistry Chandni Kiritkumar	MCA	WebAshlar	-
101	Modi Payal Anilkumar	MCA	Narola Infotech Surat	-
102	Nakum Raiyan	MCA	TechHive Surat	-
103	Panwala Shreya Dhaneshkumar	MCA	WebAshlar	-
107	Himani Hiteshbhai Patel	MCA	Narola Infotech Surat	-
108	Patel Sufiyan Alliyakub	MCA	I3 Infotech Surat	-
110	Zankhna Arjunbhai Patel	MCA	Prosol Techline	-

Placed Students : 86

Academic Year : 2018-2019

Roll No.	Student Name	Programme	Company	Package
2	Adarkhi Udaykumar Ramprasad	MCA	1Rivet / Confluence	-
3	Bhatt Nishit Atulbhai	MCA	Bigscal	-
4	Nishi Parvish Dalal	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
5	Olson Fernandes Peter	MCA	Differenz System Pvt. Ltd.	-
6	Gaddam Dharani Jaganmohan	MCA	Narola Infotech Surat	-
8	Gamit Varshaben Natubhai	MCA	Webzeel	-
9	Gangera Riddhi Rameshbhai	MCA	WebAshlar	-
10	Goswami Twinkle Jayeshkumar	MCA	NatRIX Software Pvt. Ltd.	-
11	Barkha Rajeshkumar Jariwala	MCA	Narola Infotech Surat	-
12	Jariwala Bhavini Ketankumar	MCA	Triveni Global Software Services LLP	-
13	Kajal Chetanbhai Patel	MCA	1Rivet / Confluence	-
14	Rajatkumar Bharatkumar Maisuriya	MCA	TechHive Surat	-
15	Makwana Nikita Vinodbhai	MCA	Triveni Global Software Services LLP	-
16	Mali Sagar D.	MCA	Web Aspirant	-
17	Rajat Rajnikant Mandewala	MCA	1Rivet / Confluence	-
18	Manjaly Dincy Anthony	MCA	1Rivet / Confluence	-
19	Mishra Nitin Mahendra	MCA	Narola Infotech Surat	-
20	Mistry Jigneshkumar S.	MCA	TechHive Surat	-
21	Shivangini Yogeshbhai Mithaiwala	MCA	Narola Infotech Surat	-
22	Shivani Nagoria	MCA	Narola Infotech Surat	-
23	Dhvani Naik	MCA	Narola Infotech Surat	-
24	Ashish Parmar	MCA	Leocan	-
25	Patel Aarmi Rajendrabhai	MCA	1Rivet / Confluence	-
26	Patel Aliya Gulam Vali	MCA	Web Aspirant	-
27	Patel Cherish Sureshkumar	MCA	Narola Infotech Surat	-
31	Jay H Patel	MCA	Narola Infotech Surat	-
32	Patel Jiten Dineshbhai	MCA	Narola Infotech Surat	-
34	Viral Patel	MCA	1Rivet / Confluence	-
35	Patel Virenkumar Prakashbhai	MCA	Narola Infotech Surat	-
37	Rahul Kumar Poddar	MCA	Casepoint Pvt. Ltd.	-
39	Rahulkumar Asharaphilal	MCA	Qodors	-
40	Rana Fenil Balvantbhai	MCA	Narola Infotech Surat	-
41	Nikhil N. Rana	MCA	Casepoint Pvt. Ltd.	-
43	Rathod Mitesh Hareshbhai	MCA	Narola Infotech Surat	-
44	Srabanananda Rauta	MCA	Qodors	-
45	Salehbhai Sana Umar Farook	MCA	Narola Infotech Surat	-
48	Niharika Singh	MCA	Differenz System Pvt. Ltd.	-
49	Singh Priya Anandkumar	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
50	Singh Sweety	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
51	Singh Yogesh	MCA	Narola Infotech Surat	-
52	Meet Jayesh Sorathia	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
53	Jitendra Tailor	MCA	TechHive Surat	-
54	Hezal Milindbhai Tank	MCA	Narola Infotech Surat	-
55	Amit Jayprakash Tiwari	MCA	Narola Infotech Surat	-
56	Ankit Tiwari	MCA	TechHive Surat	-
57	Sneha Bharatbhai Vadodaria	MCA	Narola Infotech Surat	-
58	Varma Anjali Narsinh	MCA	Web Aspirant	-
59	Aman Sharma	MCA	Narola Infotech Surat	-
60	Bharwad Bharat N	MCA	Narola Infotech Surat	-
61	Bhathawala Vaishnavi Paresh Kumar	MCA	Narola Infotech Surat	-
62	Bhayawala Arpit Dipakkumar	MCA	Narola Infotech Surat	-
63	Bisoyi Sagar Surendra	MCA	Casepoint Pvt. Ltd.	-
64	Chauhan Anjali Hemantbhai	MCA	NatRIX Software Pvt. Ltd.	-
65	Divya Virendrabhai Chauhan	MCA	Gyrus System	-
66	Chauhan Tejaskumar Dineshbhai	MCA	Triveni Global Software Services LLP	-
69	Gabani Drashti H.	MCA	Narola Infotech Surat	-
70	Gabani Mansi Mansukhbhai	MCA	Casepoint Pvt. Ltd.	-
71	Gamit Piyushkumar Mahendrabhai	MCA	Prosol Techline	-
72	Gandhi Saurabh Mukeshbhai	MCA	Narola Infotech Surat	-
73	Jadav Kamaleshkumar B	MCA	Triveni Global Software Services LLP	-
74	Pooja Santosh Jain	MCA	Narola Infotech Surat	-
75	Bhavna C Jhawar	MCA	Triveni Global Software Services LLP	-
76	Karthika T.R. Chandran T.K.	MCA	Casepoint Pvt. Ltd.	-
77	Abhishekkumar Dhansukhbhai Khalasi	MCA	Casepoint Pvt. Ltd.	-
78	Nita Khant	MCA	Triveni Global Software Services LLP	-
79	Shivang B Khatri	MCA	I3 Infotech Surat	-
81	Lekhadiya Hiren P.	MCA	Triveni Global Software Services LLP	-
83	Aarti Devendrakumar Mehta	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
85	Mistry Vaibhav Sunilkumar	MCA	Casepoint Pvt. Ltd.	-
86	Patel Yogita Bharatbhai	MCA	WebAshlar	-
88	Manas Kumar Nayak	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
89	Parekh Mansi Daxeshkumar	MCA	Narola Infotech Surat	-
90	Nishi B. Parmar	MCA	Narola Infotech Surat	-
91	Hardik Hasmukhbhai Patel	MCA	Casepoint Pvt. Ltd.	-
92	Patel Jagrutikumari Ganpatbhai	MCA	Gyrus System	-
93	Parthvi Pravinkumar Patel	MCA	Narola Infotech Surat	-
94	Patel Tusharkumar Rameshbhai	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
95	Patel Urvesh Ishvarbhai	MCA	NatRIX Software Pvt. Ltd.	-
96	Vivekkumar Arvindbhai Patel	MCA	Casepoint Pvt. Ltd.	-
97	Modi Dency Keyurkumar	MCA	WebAshlar	-
98	Patil Megha M.	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
101	Shaikh Sanobar Naushad	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
102	Soni Helly Dharmendra	MCA	Casepoint Pvt. Ltd.	-
103	Tandel Divya Kaushik Bhai	MCA	Casepoint Pvt. Ltd.	-
104	Kiranbhai Mohanbhai Tandel	MCA	WebAshlar	-
107	Vishwakarma Rupal Ramjibhai	MCA	Triveni Global Software Services LLP	-

Placed Students : 86

Academic Year : 2019-2020

Roll No.	Student Name	Programme	Company	Package
1	Akshaykumar Ahir	MCA	Tagline Infotech Surat	-
2	Thakur Amit	MCA	BBD Pune	-
4	Vishal Bagde	MCA	Axelor Technologies India Pvt. Ltd. Surat	-
5	Mukesh Bhawnani	MCA	BBD Pune	-
6	Jalpa Bhoi	MCA	Casepoint Pvt. Ltd.	-
8	Aarti Bulchandani	MCA	BBD Pune	-
9	Nidhi Chaudhari	MCA	Netsol IT	-
10	Jigar Chauhan	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
11	Rinkesh Chauhan	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
12	Jayprakash Chaurasia	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
13	Rohit Chaurasiya	MCA	Differenz System Pvt. Ltd.	-
15	Disha Dankhara	MCA	Qodors	-
16	Ankita Gajjar	MCA	Tenacious Techies Surat	-
17	Subhash Goswami	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
18	Manjotsingh Gujariya	MCA	Narola Infotech Surat	-
19	Jayushi Jain	MCA	Narola Infotech Surat	-
21	Chitra Jariwala	MCA	SSM Infotech	-
22	Yogendrabhai Kaklottar	MCA	Axelor Technologies India Pvt. Ltd. Surat	-
23	Divyang Khatri	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
24	Minhaz Laher	MCA	Tagline Infotech Surat	-
28	Devyani Panwala	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
29	Bhumika Patel	MCA	Varee Infotech	-
30	Harnisha Patel	MCA	BBD Pune	-
31	Hirenkumar Patel	MCA	Casepoint Pvt. Ltd.	-
32	Niketa Patel	MCA	Tenacious Techies Surat	-
34	Foram Paththa	MCA	Differenz System Pvt. Ltd.	-
35	Jitendra Patil	MCA	NatRIX Software Pvt. Ltd.	-
36	Nutan Patil	MCA	Axelor Technologies India Pvt. Ltd. Surat	-
37	Anand Prajapati	MCA	Netsol IT	-
38	Kartik Prajapati	MCA	Varee Infotech	-
39	Astha Ramwala	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
40	Gaurav Rana	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
41	Kishan Rathod	MCA	Narola Infotech Surat	-
42	Siddharth Sadisatsowala	MCA	Finlogic	-
43	Pooja Sahani	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
44	Moksha Sanghavi	MCA	Differenz System Pvt. Ltd.	-
45	Vicky Shah	MCA	BBD Pune	-
46	Gaurav Vanani	MCA	Differenz System Pvt. Ltd.	-
47	Bhumika Amesar	MCA	Leocan	-
48	Krishna Bachchhav	MCA	Tenacious Techies Surat	-
51	Bhadani Arti	MCA	Narola Infotech Surat	-
52	Mukesh Bhargav	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
54	Pratibha Chaudhary	MCA	Tenacious Techies Surat	-
56	Ayushi Dawawala	MCA	Narola Infotech Surat	-
58	Krutika Dhimmar	MCA	Tagline Infotech Surat	-
59	Suraj Dube	MCA	Narola Infotech Surat	-
60	Kishan Dudhat	MCA	Bigscal	-
61	Nisha Dudheliya	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
62	Jemish Gadhiya	MCA	Differenz System Pvt. Ltd.	-
63	Namrata Gandhi	MCA	NatRIX Software Pvt. Ltd.	-
64	Juzer Hajoori	MCA	Anand Systems	-
65	Yash Jariwala	MCA	NatRIX Software Pvt. Ltd.	-
66	Bhumi Joshi	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
67	Mohit Kanpara	MCA	Web Aspirant	-
68	Rishi Kapadia	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
69	Komalkumari Khalasi	MCA	Narola Infotech Surat	-
70	Aman Lodha	MCA	Narola Infotech Surat	-
71	Dhruti Maisuriya	MCA	Casepoint Pvt. Ltd.	-
72	Kiran Mistary	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
73	Utsav Mistry	MCA	Varee Infotech	-
74	Saurav Panda	MCA	BBD Pune	-
78	Krishna Patel	MCA	Casepoint Pvt. Ltd.	-
79	Sahilkumar Patel	MCA	NatRIX Software Pvt. Ltd.	-
80	Gauri Patil	MCA	BBD Pune	-
81	Foram Pipermintwala	MCA	Casepoint Pvt. Ltd.	-
82	Ashmita Prajapati	MCA	Web Aspirant	-
83	Hetvi Prajapati	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
84	Tapaswini Prusty	MCA	Tenacious Techies Surat	-
85	Bhupendra Rai	MCA	Narola Infotech Surat	-
86	Karankumar Ashokbhai Rana	MCA	BBD Pune	-
88	Pratigya Rathod	MCA	Anand Systems	-
89	Roshni Rathod	MCA	Xcellence IT	-
90	Rachana Reshamwala	MCA	Narola Infotech Surat	-
91	Prasad Sahu	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
92	Zaid Saiyad	MCA	Narola Infotech Surat	-
93	Shraddha Sakariya	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
94	Priyanka Shah	MCA	BBD Pune	-
95	Ronish Shah	MCA	BBD Pune	-
96	Sourabh Singh	MCA	Tenacious Techies Surat	-
98	Priyankabahen Soni	MCA	Netsol IT	-
99	Krishna Sukhadiya	MCA	Differenz System Pvt. Ltd.	-
101	Mansi Tilwani	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
102	Mahesh Trapasiya	MCA	Narola Infotech Surat	-
104	Anjana Vasava	MCA	Netsol IT	-
105	Juhi Waghel	MCA	Differenz System Pvt. Ltd.	-
106	Sejalba Zala	MCA	Triveni Global Software Services LLP	-

Placed Students : 46

Academic Year : 2020-2021

Roll No.	Student Name	Programme	Company	Package
1	Adeya Sajeshkumar Virubhai	MCA	BBD Pune	-
2	Akbari Nikunj Hasmukhbhai	MCA	Tenacious Techies Surat	-
3	Ankita Anghan Manharbhai	MCA	Tagline Infotech Surat	-
4	Ashish Gopalbhai Bhanderi	MCA	Casepoint Pvt. Ltd.	-
5	Bodara Avani Pravinbhai	MCA	Tagline Infotech Surat	-
6	Chaudhari Aishvarya Dansingbhai	MCA	NatRIX Software Pvt. Ltd.	-
7	Chauhan Sahab Puransingh	MCA	ECFY Surat	-
8	Chotaliya Mital Subhashbhai	MCA	Casepoint Pvt. Ltd.	-
9	Desai Maitry Chetanbhai	MCA	Tenacious Techies Surat	-
10	Gohil Sejal Kalyanbhai	MCA	Tenacious Techies Surat	-
11	Dhara Kanubhai Hirpara	MCA	NatRIX Software Pvt. Ltd.	-
12	Jain Rushabh Deepak	MCA	BBD Pune	-
13	Vikash Jha	MCA	NatRIX Software Pvt. Ltd.	-
14	Joshi Ruchita Jatinbhai	MCA	Tagline Infotech Surat	-
15	Kapadia Chinmay Mihir	MCA	Tagline Infotech Surat	-
16	Bhavya Mukeshbhai Kayasth	MCA	Differenz System Pvt. Ltd.	-
17	Kewat Satyaprakash Santraj	MCA	Narola Infotech Surat	-
18	Lakdawala Dhruv Nitinkumar	MCA	Differenz System Pvt. Ltd.	-
19	Jalpa Hareshbhai Makvana	MCA	Narola Infotech Surat	-
20	Maurya Nileshkumar R.	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
21	Mehta Kinjalkumari Jayvadan	MCA	BBD Pune	-
22	Mevawala Shraddha Manishkumar	MCA	BBD Pune	-
23	Arvind A. Munda	MCA	Differenz System Pvt. Ltd.	-
24	Riya Sanjay Myana	MCA	BBD Pune	-
25	Naik Priya Ashokkumar	MCA	Narola Infotech Surat	-
27	Nair Sreerag Sreekumar	MCA	Narola Infotech Surat	-
30	Patel Prachi Vinaykumar	MCA	Tenacious Techies Surat	-
31	Patel Shivani Shashikant	MCA	Tenacious Techies Surat	-
32	Shraddha Kamleshbhai Patel	MCA	Tenacious Techies Surat	-
36	Rana Nency Champakbhai	MCA	BBD Pune	-
37	Rawal Heta	MCA	NatRIX Software Pvt. Ltd.	-
38	Ribadiya Jinal Sharadbhai	MCA	Casepoint Pvt. Ltd.	-
39	Priyal Sunilkumar Shah	MCA	Differenz System Pvt. Ltd.	-
41	Shukla Jyoti Anand	MCA	BBD Pune	-
42	Singh Shivam D.	MCA	NatRIX Software Pvt. Ltd.	-
43	Surati Dharmishtha Harshadbhai	MCA	NatRIX Software Pvt. Ltd.	-
44	Tailor Dhiren Kumar Bakul	MCA	BBD Pune	-
45	Vasava Nilam B.	MCA	NatRIX Software Pvt. Ltd.	-
46	Yadav Nisha Ramachal	MCA	BBD Pune	-
47	Naimish Rajeshkumar Rana	MCA	Casepoint Pvt. Ltd.	-
48	Bhalara Bhargav Dineshbhai	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
49	Suraj Makhdoom Gupta	MCA	BBD Pune	-
50	Harshita Bagaria	MCA	Narola Infotech Surat	-
51	Moradiya Yash Rasikbhai	MCA	LANET TEAM SOFTWARE SOLUTIONS Surat	-
52	Fenil Navdiwala	MCA	Melzo / Shilpmis Surat	-
55	Akshay K Mistry	MCA	Narola Infotech Surat	-

Placed Students : 55

Academic Year : 2021-2022

Roll No.	Student Name	Programme	Company	Package
1	Agola Monika Yogeshbhai	MCA	Bigscal Technologies Pvt. Ltd., Surat	-
2	Ankola Ruchitaben Mukeshbhai	MCA	Smarty Pants Technologies, Surat	-
3	Boliya Jitesh Bhanuben	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
4	Chaube Manish Ramkumar	MCA	Marquee Solution, Surat	-
5	Chauhan Jaydip Gordhanbhai	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
6	Dalia Jaykumar Kishankumar	MCA	Bigscal Technologies Pvt. Ltd., Surat	-
7	Dhumadiya Jayesh Sureshbhai	MCA	BBD - India, Pune	-
8	Fulwala Aishwarya Pankajbhai	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
9	Gamit Anishkumar Jashvantbhai	MCA	Logix Built Infotech, Surat	-
10	Gamit Megha Vinodbhai	MCA	Xcellence IT, Surat	-
11	Goyal Rashi Rajender	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
12	Jaiswal Sweta Sahdev	MCA	BBD - India, Pune	-
13	Jani Sagar Bhikhabhai	MCA	NatRIX Software Private Limited, Surat	-
14	Jogiwala Mohit Maheshkumar	MCA	NatRIX Software Private Limited, Surat	-
15	Prinsu Khetan	MCA	NatRIX Software Private Limited, Surat	-
16	Lukhi Hinal Kismatbhai	MCA	BBD - India, Pune	-
17	Makhani Fahim Alnoor	MCA	BBD - India, Pune	-
18	Maurya Aakash Rakesh	MCA	BBD - India, Pune	-
19	Multani Vakash Munaf	MCA	Narola Infotech, Surat	-
20	Neve Aditya Jagdish	MCA	lanet Infotech, Surat	-
21	Patel Devyaniben Ganpatbhai	MCA	R Wadiwala Securities Pvt Ltd., Surat	-
22	Patel Nency Mansukhbhai	MCA	Xcellence IT, Surat	-
23	Prajapati Hardik Harshadbhai	MCA	Narola Infotech, Surat	-
24	SHAH SHIVANI NAINESHKUMAR	MCA	Xcellence IT, Surat	-
25	Singh Goldy Subhashsingh	MCA	Differenz System India, Surat	-
26	UNTEKAR KUNJAN SANTOSHBHAI	MCA	Narola Infotech, Surat	-
27	Vankawala Drashti Hiteshkumar	MCA	Triveni Global Software Services LLP, Surat	-
28	Virani Fenil Bharatbhai	MCA	NatRIX Software Private Limited, Surat	-
29	Patel Twisha Rajeshbhai	MCA	Casepoint Pvt. Ltd., Surat	-
30	Barbate Reshma Tulsibhai	MCA	Differenz System India, Surat	-
31	Barfiwala Jay Naileshbhai	MCA	Casepoint Pvt. Ltd., Surat	-
32	Burma Aamirsohel Saiyedahmed	MCA	Bigscal Technologies Pvt. Ltd., Surat	-
33	Chorawala Chaitanya Jayeshbhai	MCA	Bigscal Technologies Pvt. Ltd., Surat	-
34	Gamit Hirenbhai Jasvantbhai	MCA	Logixbuilt Technologies Pvt. Ltd., Surat	-
35	Mahale Khyati Sunilbhai	MCA	Shree Krupa Systems Pvt. Ltd., Surat	-
36	Panchal Neelkumar Nareshbhai	MCA	Differenz System India, Surat	-
37	Patel Payalkumari Sureshbhai	MCA	1Rivet, Valsad	-
38	Pathak Jinal Jayeshkumar	MCA	NatRIX Software Private Limited, Surat	-
39	Rana Fenilben Jatinkumar	MCA	Casepoint Pvt. Ltd., Surat	-
40	Shah Bhavya Kiritbhai	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
41	Shah Krunal Sandeepkumar	MCA	Triveni Global Software Services LLP, Surat	-
42	Tandel Bindiya Arjun	MCA	1Rivet, Valsad	-
43	Tandel Rajvi Anilkumar	MCA	Axelor Technologies India Private Limited, Surat	-
44	Agrawal Vishakha Ramkishor	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
45	Choudhary Gaurav	MCA	BBD - India, Pune	-
46	Devkar Kesha Ashwinbhai	MCA	Anand Systems Inc (India), Surat	-
47	Dhruv Shekharkumar Jitendrabhai	MCA	Logixbuilt Technologies Pvt. Ltd., Surat	-
48	Gavli Harsha Ravindra	MCA	Differenz System India, Surat	-
49	Prashant Jani	MCA	Smarty Pants Technologies, Surat	-
50	Patel Dhaval Jitendrabhai	MCA	Differenz System India, Surat	-
51	Patel Kingkumar Rajeshbhai	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
52	Patel Purvi Yogeshkumar	MCA	La Net Team Software Solutions Pvt. Ltd., Surat	-
53	Singh Ansukumari Krishnanand	MCA	Webexpress Solution, Surat	-
54	Roshan David Sundaram	MCA	BBD - India, Pune	-
55	Tailor Mansi Mukeshbhai	MCA	Narola Infotech, Surat	-

Placed Students : 104

Academic Year : 2022-2023

Roll No.	Student Name	Programme	Company	Package
1	AGHERA BHAUTIKKUMAR JAGDISH	M.C.A	Xcellence IT	3,00,000/-
2	AGRAWAL AARTI JAGDISHBHAI	M.C.A	Natrix Software Pvt Ltd.	3,00,000/-
3	BUTANI SHRUTI BHUPATBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
4	CHANDWANI SALONI MANOJ	M.C.A	Differenz system Pvt Ltd	2,40,000/-
5	CHANGAWALA PRIYANSHI DEEPAKKUMAR	M.C.A	Differenz system Pvt Ltd	2,40,000/-
6	DASAVATE PRATISH GANESHBHAI	M.C.A	Differenz system Pvt Ltd	2,40,000/-
7	DESAI NENSIBEN BHAGVANBHAI	M.C.A	Xcellence IT	3,00,000/-
8	DESAI VISHWA SHREYASHBHAI	M.C.A	Axelor Technologies India Pvt Ltd	3,60,000/-
9	HERRY ANUP DEWANI	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
10	DHAMELIYA JINAL BHARATBHAI	M.C.A	Xcellence IT	3,00,000/-
11	DHAMELIYA MANSI MANJIBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
12	GAJJAR HETVI MANISHKUMAR	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
13	GAJJAR KAUSHALKUMAR JAYESHKUMAR	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
14	GANDHI DIVYESH VIJAYKUMAR	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
15	GOLAKIYA PRINCY PANKAJBHAI	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
16	JAGETIYA KIRTI ASHOK KUMAR	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
17	JASANI KRUPABEN JITESHBHAI	M.C.A	eZee Technosys Pvt. Ltd.	3,00,000/-
18	KALATHIYA DRASHTI BATUKBHAI	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
19	KANANI NISHA KIRITBHAI	M.C.A	Differenz system Pvt Ltd	2,40,000/-
20	KAPADIYA PRACHI AMISHKUMAR	M.C.A	Axelor Technologies India Pvt Ltd	3,60,000/-
21	KHUNT MANSI JITENDRABHAI	M.C.A	Netsol IT Solutions Pvt Ltd	2,40,000/-
22	KORAT MANSI ASHOKBHAI	M.C.A	Xcellence IT	3,00,000/-
23	LAD VIVEK DIPAKKUMAR	M.C.A	Differenz system Pvt Ltd	2,40,000/-
24	LIMBASIYA HARSHIL ASHVINBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
25	MADNANI VISHNU JASSI	M.C.A	Natrix Software Pvt Ltd.	3,00,000/-
26	MAHAJAN PRAFUL SURESH	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
27	MAISURIYA ADITYA RITESHBHAI	M.C.A	Pulse Solutions	2,40,000/-
28	MANGROLIYA MUKUNDABEN BHARATBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
29	MANGUKIYA JENSI HARESHBHAI	M.C.A	Netsol IT Solutions Pvt Ltd	2,40,000/-
30	MASTER APARA JINIT	M.C.A	EnactOn Technologies Pvt. Ltd.	3,60,000/-
31	MAURYA MUKESH GENALAL	M.C.A	Logix Built Infotech	3,60,000/-
32	MODI DIVYA SHAILESHKUMAR	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
33	MOHANTY PRABHAT SAHADEV	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
34	PANCHAL CHIRAGKUMAR SHAILESHBHAI	M.C.A	MICM Net Solutions Pvt. Ltd.	3,00,000/-
35	PARMAR PRATIKKUMAR KANTILAL	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
36	PATEL MIHIRKUMAR DHIRAJBHAI	M.C.A	Differenz system Pvt Ltd	2,40,000/-
37	PATEL MIRALBEN ROHITKUMAR	M.C.A	Xcellence IT	3,00,000/-
38	PATEL MIRENKUMAR RAJESHBHAI	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
39	PATEL NANDANI VINODBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
40	PARTH PATEL	M.C.A	EnactOn Technologies Pvt. Ltd.	3,60,000/-
41	PATEL PRINCEE RAMESHBHAI	M.C.A	Natrix Software Pvt Ltd.	3,00,000/-
42	PUROHIT HARSHKUMAR RAMESHBHAI	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
43	RAI SURAJ SHRI RAM	M.C.A	Differenz system Pvt Ltd	2,40,000/-
44	RAJA VIDDHI DHARMESHKUMAR	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
45	RAMANI MAHIPAL NANDLAL	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
46	GUPTA SONU MANOJ	M.C.A	Axelor Technologies India Pvt Ltd	3,60,000/-
47	SUVAGIYA RIMA KANUBHAI	M.C.A	Natrix Software Pvt Ltd.	3,00,000/-
48	SHAH PANKAJKUMAR SHREE MUKTINATH	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
49	SOLANKI KRISHMA MANUBHAI	M.C.A	Pulse Solutions	2,40,000/-
50	KHANDLA KHUSHALI RAKESHBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
51	PATEL HIMANSHI VIPULBHAI	M.C.A	Differenz system Pvt Ltd	2,40,000/-
52	POPAT ANERI SANJIVKUMAR	M.C.A	Axelor Technologies India Pvt Ltd	3,60,000/-
53	MOURYA VARSHA SURESHBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
54	RUDRA USHASREE AMARENDER	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
55	CHETTIPELLY GAUTAMI PRASADBHAI	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
56	KESARI SAURAV SHREE DINESH	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
57	DEEPALI SUDHIRKUMAR SINHA	M.C.A	Xcellence IT	3,00,000/-
58	PATEL AJAY GANESH	M.C.A	eZee Technosys Pvt. Ltd.	3,00,000/-
59	VANANI MANAV PREMJIBHAI	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
60	RANA KRUTIKABEN KANTILAL	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
61	KAPADIA AVANI MANISHBHAI	M.C.A	Xcellence IT	3,00,000/-
62	SHARMA PRAVINKUMAR RAMESH	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
63	MAISURIYA CELINA SANJAYKUMAR	M.C.A	Narola Infotech Solutions LLP	3,00,000/-
64	RANA NIDHI RAKESHKUMAR	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
65	RANA RAHUL MANISHKUMAR	M.C.A	Differenz system Pvt Ltd	2,40,000/-
66	RUPARELIYA SANKALP DHARMENDRA	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
67	SAWANT SHISHIR SHARADBHAI	M.C.A	Xcellence IT	3,00,000/-
68	SHAH DIVY NALINBHAI	M.C.A	Natrix Software Pvt Ltd.	3,00,000/-
69	SHARMA HIMANSHU NIRANJAN	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
70	SINH CHIRAG SUCHITSING	M.C.A	Narola Infotech Solutions LLP	3,00,000/-
71	SINGAL VISHALBHAI LAKHABHAI	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
72	SONANI HARSHIT SHAILESHBHAI	M.C.A	Differenz system Pvt Ltd	2,40,000/-
73	NIL PRAVINBHAI VAGHASIYA	M.C.A	MICM Net Solutions Pvt. Ltd.	3,00,000/-
74	BHIKADIYA KENILKUMAR KISHORBHAI	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
75	GORAKHIYA VAISHNAVI KETANKUMAR	M.C.A	Logix Built Infotech	3,60,000/-
76	PAREKH HETVI VIKASKUMAR	M.C.A	Logix Built Infotech	3,60,000/-
77	PATEL KEVIL ALPESHKUMAR	M.C.A	Narola Infotech Solutions LLP	3,00,000/-
78	PATEL NILAYKUMAR SANJAYBHAI	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
79	PATEL RITIK NITINBHAI	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
80	PATIL PRANIT CHANDRAKANT	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
81	THAKKAR SHIVANI KALPESHBHAI	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
82	VAGHANI KAUSHIK PRAVINBHAI	M.C.A	Logix Built Infotech	3,60,000/-
83	CHAUHAN SHWETA SUJIT	M.C.A	Differenz system Pvt Ltd	2,40,000/-
84	DANGE SWATIBAHEN ANILBHAI	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
85	BALUCHI KHUSHNUMABANU MUNNVARKHAN	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
86	DIXIT PRABHAT HARI OM	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
87	KEJRIWAL PRIYA SHRI MAHESH	M.C.A	Bigscal Technologies PVT LTD	3,96,000/-
88	KHADKA NOMKUMARI BHAIRAVSINGH	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
89	MAHAJAN MAYUR LAHU	M.C.A	Xcellence IT	3,00,000/-
90	MEMAN MOHAMMEDIRFAN MOHAMMEDAMIN	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
91	PANDEY RITIK SURESHNARAYAN	M.C.A	Differenz system Pvt LtdDifferenz system Pvt Ltd	2,40,000/-
92	PARMAR CHIRAG RAMNIKBHAI	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
93	PARMAR NANDINI BHARATKUMAR	M.C.A	Differenz system Pvt Ltd	2,40,000/-
94	JANISHA NARESH BHAI PATEL	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
95	PATOLIA FORAM RAJESHBHAI	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
96	SHAH MINIKUMARI MADHAVLAL	M.C.A	Doyenhub Software Solutions Pvt Ltd	3,00,000/-
97	SHAH PRITKUMAR JITENDRABHAI	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
98	SHAH RUPA SHYAM	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
99	SIDDIQUI RUBAB FATIMA ATHAR ALI	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-
100	SINGH CHANDANI HARENDRA	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
101	SOLANKI NAINSI MAHESHBHAI	M.C.A	La Net Team Software Solutions Pvt. Ltd.	5,00,000/-
102	VIRADIYA KRISHNA ARVINDBHAI	M.C.A	Treta Infotech Pvt. Ltd.	3,00,000/-
103	SANDANSHIV TARUN DHANRAJBHAI	M.C.A	Pulse Solutions	2,40,000/-
104	KAPURE MANOJ MADHUKAR	M.C.A	BBD (Barone Budge and Dominick India Pvt Ltd) , Pune	4,20,000/-

Placed Students : 94

Academic Year : 2023-2024

Roll No.	Student Name	Programme	Company	Package
42	GUPTA PRADHYUMAN BHAGWAN	M.C.A.	WebOsmotic	216000
1	RAMI DHRUTIBEN HARSHADBHAI	M.C.A.	Excellence IT	168000
2	BARDOLIA JUGAL JITENDRA	M.C.A.	Differenz System	204000
3	BATHWAR VIKAS PALJIBHAI	M.C.A.	ECFY	259200
4	PARESH DAS	M.C.A.	Pulse Solution	266400
5	GANDHI SAKSHI CHINTUKUMAR	M.C.A.	Differenz System	204000
6	ANSARY MOHDFARDEEN MOHD JAMIL	M.C.A.	Natrix Software	264000
7	KHALASI CHINTANBHAI NAVINBHAI	M.C.A.	MICM	300000
8	MAKDANI SHUBH HIMANSHUBHAI	M.C.A.	Differenz System	204000
9	MISTRY DHRUVKUMAR PARESHBHAI	M.C.A.	Finlogic Technologies	324000
10	MISTRY PRITIKUMARI ANUPKUMAR	M.C.A.	eZee Technosys	180000
11	NALWALA DISHABEN ASHISHKUMAR	M.C.A.	R Wadiwala	252000
12	PARMAR SAURAVKUMAR HASMUKHBHAI	M.C.A.	HandsTogether	180000
13	PATEL AYUSH KRUSHNAKANT	M.C.A.	WebOsmotic	216000
14	PATEL BHOOMI RAJESHKUMAR	M.C.A.	Narola Infotech	300000
15	PATEL BINDIYA BIPINBHAI	M.C.A.	LogicWind	240000
16	PATEL NIRMALKUMAR RAMUBHAI	M.C.A.	Differenz System	204000
17	PITHADIA KHUSHI DILIPBHAI	M.C.A.	La Net Team Software Solutions	360000
18	PRAJAPATI VIVEK MANISHBHAI	M.C.A.	Narola Infotech	300000
19	RAJ SHAH	M.C.A.	ECFY	259200
20	RANA ANIKET NITINKUMAR	M.C.A.	eZee Technosys	180000
21	SAW DINESH KUMAR SAHDEO	M.C.A.	Barone Budge and Dominick (BBD)	450000
22	SHAIKH MOHAMMED ANAS MOHAMMED ASIF	M.C.A.	BigScal Technologies	264000
23	SINGH AVINASH VIJAYPAL	M.C.A.	Finlogic Technologies	324000
24	SINGH NEHABHARTI NARESH KUMAR	M.C.A.	Differenz System	204000
25	SOLANKI HARDIKBHAI RAMESHBHAI	M.C.A.	Pulse Solution	266400
26	TIWARI VINAYAK ARUNKUMAR	M.C.A.	Barone Budge and Dominick (BBD)	450000
27	VAGHELA PARTHBHAI DILIPBHAI	M.C.A.	Barone Budge and Dominick (BBD)	450000
28	ADANI AASHI ALPESHBHAI	M.C.A.	Kamaldhari	120000
29	ANSARI AMIRRAZA RUSTAMALI	M.C.A.	Casepoint	282000
30	BANDRE PAYAL RAJUBHAI	M.C.A.	Casepoint	282000
31	BHALALA POOJA ASHOKBHAI	M.C.A.	eZee Technosys	180000
32	CHAPADIA ADITI VINAYKUMAR	M.C.A.	Narola Infotech	300000
33	CHAUDHARY DIVYANSHI VIMAL	M.C.A.	Differenz System	204000
34	CHAUHAN HARSHIL MAHESHKUMAR	M.C.A.	Natrix Software	264000
35	CHAUHAN RAJ ANILKUMAR	M.C.A.	Natrix Software	264000
36	CHAUHAN SAGAR GUNAVANTBHAI	M.C.A.	eZee Technosys	180000
37	DHANANI VIDHI BHUPATBHAI	M.C.A.	Narola Infotech	300000
38	DONDA PRINCY ASHOKBHAI	M.C.A.	WebOsmotic	216000
39	DUNGARWAL BHAVIKA KEWALCHAND	M.C.A.	Casepoint	282000
40	GHOSH SHAYAN SWAPAN	M.C.A.	BigScal Technologies	264000
41	GODHANI PARASKUMAR BHUPATBHAI	M.C.A.	Natrix Software	264000
43	JAGANI NIDHI PURUSHOTTAMBHAI	M.C.A.	LogicWind	240000
44	JAIN NISHA KAMAL	M.C.A.	Barone Budge and Dominick (BBD)	450000
45	KAKLOTAR NAIMISH RAMESHBHAI	M.C.A.	WebOsmotic	216000
46	KHAMBHAYATA SHIVANG NITESHBHAI	M.C.A.	Pulse Solution	266400
47	KHAN CHANDNI HABIB	M.C.A.	Barone Budge and Dominick (BBD)	450000
48	KINKHABWALA DHRUV DIPAKKUMAR	M.C.A.	R Wadiwala	252000
49	KOTHWALA KRISI SANDIPKUMAR	M.C.A.	Differenz System	204000
50	LAD PRATHAMKUMAR VIJAYBHAI	M.C.A.	MICM	300000
51	LAD VIDHI ANANDKUMAR	M.C.A.	Casepoint	282000
52	LASOD KHUSHAL DHARMENDRA	M.C.A.	Aarvi	240000
53	LOTWALA JUGAL SATYAMKUMAR	M.C.A.	Natrix Software	264000
54	METHIWALA VAIBHAVEEBEN JIGNESHBHAI	M.C.A.	MICM	300000
55	MEVAWALA ALISH AJAYKUMAR	M.C.A.	HandsTogether	180000
56	MISHRA HITESH AJAYBHAI	M.C.A.	Inkey Solutions	372000
57	MISTRY JAY VINODKUMAR	M.C.A.	Inkey Solutions	372000
58	MOKARIYA VIJAY MANSUKHBHAI	M.C.A.	Narola Infotech	300000
59	MOLESALAM JEMIN DILIPBHAI	M.C.A.	Casepoint	282000
60	NAYAK JYOTIRAM BISHWANATH	M.C.A.	La Net Team Software Solutions	360000
61	PANDE AMUL LALJI	M.C.A.	La Net Team Software Solutions	360000
62	PAREKH SMIT RAJESHBHAI	M.C.A.	Differenz System	204000
63	PARMAR DHARMENDRASINH ARJUNSINH	M.C.A.	Differenz System	204000
64	PATEL AUMSHIV SANJAYBHAI	M.C.A.	kamldhari	120000
65	PATEL HARDIKKUMAR JAGDISHCHANDRA	M.C.A.	Casepoint	282000
66	PATEL MEHANGKUMAR MAHESHBHAI	M.C.A.	MICM	300000
67	PATEL NIDHI JAGADISHBHAI	M.C.A.	Casepoint	282000
68	PATEL NIKUNJKUMAR RAMUBHAI	M.C.A.	La Net Team Software Solutions	360000
69	PATOLIYA RIDDHI ASHOKBHAI	M.C.A.	eZee Technosys	180000
70	PAWAR NEHA RAVINDRABHAI	M.C.A.	Excellence IT	168000
71	PETIGARA AYUSH NITESHKUMAR	M.C.A.	Natrix Software	264000
72	RANA CHIRAG NAVINCHANDRA	M.C.A.	ECFY	259200
73	RANA KRISHNA BHARATBHAI	M.C.A.	La Net Team Software Solutions	360000
74	RANA KRUNAL MANSUKHBHAI	M.C.A.	Barone Budge and Dominick (BBD)	450000
75	RUPAWALA KRISHNA JITENDRAKUMAR	M.C.A.	Excellence IT	168000
76	SABHAYA DRASHTI KANTIBHAI	M.C.A.	Aarvi	240000
77	SAHANI PRATIBHA RAJKAPOOR	M.C.A.	Casepoint	282000
78	SHAH DHARMILKUMAR NAINESHKUMAR	M.C.A.	ECFY	259200
79	SHAH JAINAM JAYESHBHAI	M.C.A.	Narola Infotech	300000
80	SHAH KHUSHI RAHULKUMAR	M.C.A.	Excellence IT	168000
81	SHAH SAKSHI PARESHKUMAR	M.C.A.	Casepoint	282000
82	SHARMA AARTI NANDLAL	M.C.A.	La Net Team Software Solutions	360000
83	SHARMA SHUBHAMKUMAR VIJAYSHANKAR	M.C.A.	LogicWind	240000
84	SINGH KRISHNA KUMAR MOHAR LAL SINGH	M.C.A.	Barone Budge and Dominick (BBD)	450000
85	TALETIYA NISHANT CHANDRAPRAKASH	M.C.A.	Barone Budge and Dominick (BBD)	450000
86	TANK HETAL PRAVINBHAI	M.C.A.	Inkey Solutions	372000
87	THAKKAR VIVEK RAMESHBHAI	M.C.A.	Natrix Software	264000
88	UPADHYAY CHANDRASEN GIRIVARDHAR	M.C.A.	Casepoint	282000
89	VADADORIYA UMANG ARVINDBHAI	M.C.A.	Barone Budge and Dominick (BBD)	450000
90	VARMA RAMPAT SITARAM	M.C.A.	Inkey Solutions	372000
91	VIRADIYA HARSH NARESHBHAI	M.C.A.	La Net Team Software Solutions	360000
92	WANKHEDE YUGAL KRISHNA	M.C.A.	Differenz System	204000
93	ZANZARUKIYA PARTH MANISHBHAI	M.C.A.	Natrix Software	264000
94	ZINZRIYA HARDIKKUMAR JINABHAI	M.C.A.	Excellence IT	168000

Placed Students : 69

Academic Year : 2024-2025

Roll No.	Student Name	Programme	Company	Package
1	Amisha Pareshbhai Ambaliya	MCA	SSM Infotech Solutions	3.2 LPA
2	MIHIR RAJKUMAR PRAJAPATI	MCA	Differenz system	3 LPA
3	KEYUR JAYANTILAL PRAJAPATI	MCA	SSM Infotech Solutions	3.2 LPA
4	Khadela Riya Rajeshbhai	MCA	SSM Infotech Solutions	3.2 LPA
5	Jensi Niteshbhai Sabhaya	MCA	SSM Infotech Solutions	3.2 LPA
6	Tapti Saraswat	MCA	WebAshlar Software Solutions Pvt Ltd	2.3 LPA
7	Shivamkumar Jitendrakumar Pandya	MCA	SSM Infotech Solutions	3.2 LPA
8	Dhruv Prakashbhai Dhanani	MCA	SSM Infotech Solutions	3.2 LPA
9	Anas Mansuri	MCA	Differenz system	3 LPA
10	SHIKHAA RUPALKUMAR TIKIWALA	MCA	Yanolja cloud solution	3.6 LPA
11	Jenisha Kishorbhai Daslaniya	MCA	Natrix Software private Limited	3.3 LPA
12	Shubham Manojbhai Savaliya	MCA	Agami Tech Pvt Ltd	3 LPA
13	Solanki Divyesh Naranbhai	MCA	Natrix Software private Limited	3.3 LPA
14	Sahu Vikas Rabindrabhai	MCA	Narola Infotech Solution LLP	3 LPA
15	MANISH HIRALAL SONAR	MCA	SSM Infotech Solutions	3.2 LPA
16	Parth Bipinchandra Kahar	MCA	Natrix Software private Limited	3.3 LPA
17	Pratham Narendra kumar Rana	MCA	Differenz system	3 LPA
18	Rishi Kalpeshkumar Saraiya	MCA	SSM Infotech Solutions	3.2 LPA
19	RITIKA BIRJUBHAI SOMANI	MCA	Yanolja cloud solution	3.6 LPA
20	Shahil Shahallam Khan	MCA	Natrix Software private Limited	3.3 LPA
21	CHIRAGKUMAR BIPINCHANDRA PATEL	MCA	SSM Infotech Solutions	3.2 LPA
22	Sushmita Bimal Baraui	MCA	WebAshlar Software Solutions Pvt Ltd	2.3 LPA
23	Samrat Tulsibhai Beladiya	MCA	Differenz system	3 LPA
24	Suraj Chauhan Ramjanam	MCA	MICM Net Solution Pvt.Ltd	3.3 LPA
25	Dhruvin Naranbhai Dhameliya	MCA	Yanolja cloud solution	3.6 LPA
26	Harnish Vinaykumar Dhimar	MCA	Casepoint Pvt Ltd	4.5 LPA
27	NIKHIL VIPULBHAI GODHANI	MCA	Yanolja cloud solution	3.6 LPA
28	Gohil Harshdeepsinh Jayvantsinh	MCA	Natrix Software private Limited	3.3 LPA
29	Satyam Gupta	MCA	Yanolja cloud solution	3.6 LPA
30	HANEY JITENDRABHAI PATEL	MCA	WebAshlar Software Solutions Pvt Ltd	2.3 LPA
31	Akshay Vinodbhai Rana	MCA	SSM Infotech Solutions	3.2 LPA
32	Harshiv Sureshbhai Rana	MCA	Harshiv Sureshbhai Rana	3.3 LPA
33	Dhruvil Jayeshbhai Shah	MCA	La Net Team Software Solutions	4.8 LPA
34	Prince Bharatbhai Virani	MCA	Yanolja cloud solution	3.6 LPA
35	Udhay Ande	MCA	WebOsmotic Pvt. Ltd.	2.8 LPA
36	Beladiya Shruti Rameshbhai	MCA	Agami Tech Pvt Ltd	3 LPA
37	Gautam Nileshbhai Jaisur	MCA	SSM Infotech Solutions	3.2 LPA
38	Ishika Shaileshkumar Jariwala	MCA	SSM Infotech Solutions	3.2 LPA
39	Vruti Harikrushna Kalathiya	MCA	Differenz system	3 LPA
40	Nishtha Pankajbhai Khalasi	MCA	SSM Infotech Solutions	3.2 LPA
41	Tisha Hareshbhai Mistry	MCA	Differenz system	3 LPA
42	Shreya Amishkumar Mithaiwala	MCA	R Wadiwala Securities Pvt. Ltd.	3 LPA
43	Prachi Rupesh Navik	MCA	Natrix Software private Limited	3.3 LPA
44	Yash Dipendrabhai Patel	MCA	Casepoint Pvt Ltd	4.5 LPA
45	Patoliya Mansi Hareshbhai	MCA	Agami Tech Pvt Ltd	3 LPA
46	Isha Pareshkumar Pittalwala	MCA	MICM Net Solution Pvt.Ltd	3.3 LPA
47	SIRISH PRAMOD SAHU	MCA	Natrix Software private Limited	3.3 LPA
48	Saikiran Sandupatla Prasad	MCA	Natrix Software private Limited	3.3 LPA
49	Priya Girdharbhai Siddhpura	MCA	Agami Tech Pvt Ltd	3 LPA
50	Kamal Singh Vijayprakash	MCA	Natrix Software private Limited	3.3 LPA
51	Ritesh Singh	MCA	R Wadiwala Securities Pvt. Ltd.	3 LPA
52	Nikunj Vinodbhai Soni	MCA	SSM Infotech Solutions	3.2 LPA
53	Zimit Dharmesh Tailor	MCA	Agami Tech Pvt Ltd	3 LPA
54	Tiwari Himanshu Harishankar	MCA	Differenz system	3 LPA
55	Vaja Isha Dineshbhai	MCA	Prosol Techline	2 LPA
56	Etisha Maheshbhai Visalpara	MCA	SSM Infotech Solutions	3.2 LPA
57	Anchal Vijay Yadav	MCA	R Wadiwala Securities Pvt. Ltd.	3 LPA
58	drashti nareshbhai talaviya	MCA	Narola Infotech Solution LLP	3 LPA
59	Soniya Omprakash Saini	MCA	Bigscal Technologies Pvt. Ltd.	2.1 LPA
60	Darshan Maheshbhai Raghvani	MCA	eDelta Enterprise Solutions Pvt. Ltd	2.2 LPA
61	Roshankumar Bhagwan Jena	MCA	Differenz system	3 LPA
62	Sachin Vedprakash Maurya	MCA	SSM Infotech Solutions	3.2 LPA
63	Amarjeet Kumar Sah	MCA	Differenz system	3 LPA
64	Dharmi Nareshbhai Dungrani	MSc	Yanolja cloud solution	3.6 LPA
65	Gandhi Vaibhav Vikenbhai	MSc	Yanolja cloud solution	3.6 LPA
66	Pratham Jatinkumar Lakdawala	MSc	WebAshlar Software Solutions Pvt Ltd	2.3 LPA
67	Shruti Mungra Sureshabhai	MSc	eDelta Enterprise Solutions Pvt. Ltd	2.2 LPA
68	Harshvi Mehulbhai Patel	MSc	eDelta Enterprise Solutions Pvt. Ltd	2.2 LPA
69	Satani Shree Subhashbhai	MSc	eDelta Enterprise Solutions Pvt. Ltd	2.2 LPA

Placed Students : 37

Academic Year : 2025-2026

Roll No.	Student Name	Programme	Company	Package
1	Vishal Chaudhary	MCA	La Net Team Software Solutions	-
2	Himanshu Maurya	MCA	La Net Team Software Solutions	-
3	Madan Parihar	MCA	La Net Team Software Solutions	-
4	Anokhi Palgota	Msc	La Net Team Software Solutions	-
5	Twisha Champaneria	MCA	ECFY Consulting Pvt. Ltd	-
6	Shaziya Sidaki	MCA	ECFY Consulting Pvt. Ltd	-
7	Hamza Memon	Msc	ECFY Consulting Pvt. Ltd	-
8	Abdul Hannan Shirgar	Msc	ECFY Consulting Pvt. Ltd	-
9	Chirag Binwani	MCA	Yanolja Cloud Solution Pvt. Ltd.	-
10	Vrunda Master	MCA	Yanolja Cloud Solution Pvt. Ltd.	-
11	Raviraj Rawal	Msc	Yanolja Cloud Solution Pvt. Ltd.	-
12	Deepak Vishwakarma	MCA	Differenz System	-
13	Isha Kadiwala	MCA	Differenz System	-
14	Dhruvi Pattiwala	MCA	NatRiX Software PVT LTD	-
15	Sagar Pradhan	MCA	NatRiX Software PVT LTD	-
16	Khan sufiyan faiyaz	MCA	NatRiX Software PVT LTD	-
17	Krushnakumar maurya	MCA	NatRiX Software PVT LTD	-
18	Jay Viththani	MCA	Memighty Inventions Pvt Ltd	-
19	Khan Zaid Mushir	MCA	SSM Infotech	-
20	Dhruv AlpeshKumar Baruwala	MCA	SSM Infotech	-
21	Kalsariya Mohit	MCA	SSM Infotech	-
22	Mallipeddi Ramya Shrinivas	MCA	SSM Infotech	-
23	Neha Soni	MCA	SSM Infotech	-
24	Sibani Rout	MCA	SSM Infotech	-
25	Aadil Shekh	Msc	SSM Infotech	-
26	Kahar Dixita NileshBhai	MCA	SSM Infotech	-
27	Khush Chimanbhai Dudhat	Msc	eDelta Solutions	-
28	Niraj Dubey	Msc	eDelta Solutions	-
29	Hitesh Parakh	Msc	eDelta Solutions	-
30	Kavya Patel	MCA	eDelta Solutions	-
31	Jagan P. Mahanty	MCA	R Wadiwala Security Pvt	-
32	Jay Sopariwala	MCA	R Wadiwala Security Pvt	-
33	Diya Presswala	MCA	R Wadiwala Security Pvt	-
34	Jay Gayakwad	MCA	R Wadiwala Security Pvt	-
35	Alish Kapadia	MCA	R Wadiwala Security Pvt	-
36	Rahul Chintala	MCA	Leocan Technologies LLP	-
37	Hariom Rajput	MCA	Bigscal Technologies Pvt Ltd	-

Testimonials

Dr. Bijendra Agarwal

Director Computer Center

ALUMNI

Dr. Pinakpani Pal

Associate Professor
Electronics & Communication Sciences Unit,
Indian Statistical Institute (Kolkata)

Looking back at the 3 years that I spent in SGU Campus, there are so many memories that flash across my mind. However, most of all I miss two of my classmates who are no more – Vipul P Desai and Jagruti Vyas.

From the very first day I never felt that I was 1800+ KM away from home. The faculty members, our seniors, everyone of them were just like family members from the very beginning. My senior GVD Prasad took care of my hostel accommodation. After few days of admission our Head of the Department, Prof N. L. Kalathia called me and asked me why I had not written any letter to my parents. I told him that the post office was quite far away, so I had not been able to manage that, but I would try soon. He gave me an Inland Letter and asked me to write to my father immediately and said that he would take care of the task of posting the letter.

We had limited resources but it was fun learning and interacting. Classes were from 8am to 8pm (with breaks in between). Faculty members used to come and open the computer lab after dinner and we used to work till 2am. No mobiles and no laptops – oh those beautiful days of frequent social interactions, and shared community life!

During examination times the environment of hostel was different. I remember before exams our talented classmate D Srinivas used to teach us Linear Algebra and share his collection of objective questions. In every room there were groups of students trying hard to study. The day scholars – Bhavin D Parikh, Prafulla Sharma and many more used to stay with us at the hostel for group studies.

Even after the completion of my course I have revisited my University and Department many times and my teachers and staff welcomed me.

At present the campus has completely changed –it is now smaller but cleaner. Entrances are extremely impressive. Many new Departments have been created. There is a completely new Cricket ground. New huge hostel buildings have come up.

Under the current Head of the Department Prof Apurva A Desai our department is expanding in both size and quality. Previously our department was under the Department of Mathematics. Now there is a separate Computer Science Department, a separate building, well equipped computer Labs, nice conference room, and opportunities to pursue many more courses. Industry interactions have increased. Funded projects and PhD programs are running successfully. Many young and promising faculty members have been recruited. Dr Ravi M Gulati is the backbone of our Alumni Network.

ALUMNI

Bhavin Parikh

Delivery Head
TATA Consultancy Services Limited

I was in the 2nd batch of MCA program at university. So, several things were new for university, for the department, for the professors and for us. It was a new world of computers for Indian society too. So we had some exciting challenges such as – limited set of computers in lab, no Google, no easy access to internet, only 2 book stores in Surat having study materials, limited classrooms and so on.

However, that was the best time of my life. We used to sneak in to labs with every opportunity that came by, used to play cricket in cancelled lectures, cook our own food at hostel during mess vacation, had encounters with snakes and mongoose, some spontaneous fun moments in the live lectures along with professors and memorable picnics.

We were all unique in our own way in the batch of 1994. But We had one thing in common - “hunger to learn about the world of computers and not just earn the degree”.

Our professors were more of mentors than teachers. They were approachable at all times and in waiting, at times, for us to reach out to them. I am glad that we still have Apoorv Desai and Ravi Gulati sirs driving this program with same passion and engagement.

I am happy and proud to be an alumnus of this program and university.

ALUMNI

Jaydeep Balvantray Jodhpura

Sr. Project Manager, Aventior Inc. Pune

The MCA program at SGU was excellent. The department has very good infrastructure. The events & fests organized by the department helped me to improve my leadership qualities. MCA department has the best professors, whose guidance & support has helped me to achieve my career goal. Three years of MCA was a great journey and best days of my life. I am very thankful to all the faculties of our department. Thanks to the guidance and training provided by Placement department.

ALUMNI

Gurmeet Gill

Program Manager, Google

We were one of the early batch of MCA and I cannot emphasize enough the role of MCA dept into instilling the computer science passion and problem solving.

ALUMNI

Dr. Chintan R. Naik

Founder & C.E.O., Pixeta App Lab

The learning time at Department of Computer Science was great and memorable for me. I started my M.C.A. without any prior knowledge regarding computer science, met the best faculty members in my life there and finished it with the best skill set in just three years course. The conceptual knowledge and practical experience I gained during this time made me future ready, enabled me learning new technologies quickly.

ALUMNI

Amber R. Marfatia

Principal Architect, Cognizant

What a joy to have become a computer science professional through Computer Dept! The experience was so much more than I could have imagined and its impact on the way it groomed me (and many more for sure) at an early age for industry. My sirs, professors never failed to encourage me when I doubted something, cheer for me when I was (and am) successful. All always helped to point out my strengths and weaknesses when there was a need. Department was always supportive to any ideas that were brought up to their notice which helped us then and even now while in the industry.

ALUMNI

Mayuri Naranbhai Donda

Solution Architect, Length & Breath Consultancy

MCA department at VNSGU, has highly knowledgeable and experienced faculties. Learner centric environment and project assignments has helped us understand our subjects in a better way and to grow our soft skills

ALUMNI

Dr. Alpa Shah

Head of Department, MCA Department, Sarvajanik College of Engineering and Technology, Sarvajanik University

Being born and brought up in Baroda, I feel that the Department is my second home in Surat. All the professors are very learned, but what I really like more is the friendly and conducive environment provided by them for our professional and overall growth. In the fast pace moving field of Information Technology, the Department has always kept abreast with the latest syllabus and technological advancements. I feel happy that I am associated with the Department even today.

ALUMNI

Hiren H Sakhiya

Director, Qodors Technologies Pvt Ltd

It was a wonderful experience at the Department of Computer Science, Especially the Teaching staff - all the professors, their vast experience in the subjects, teaching style, guidance throughout the academic and even after pass out, we are getting guidance from them. You will get practical knowledge instead of just theory in all subjects. Once again I want to mention senior teaching staff and their expertise in subject and experience of teaching methods. No words. Department's infrastructure is also good, equipped with the latest technologies, computers, labs, classrooms, etc. I will cherish the learning experience I got from DCS lifetime.

ALUMNI

Gauri Madhukar Patil

Software Engineer, BBD Pune

What a great memory I had for 2 years with faculties. I discovered the value of education and put it into reality. Department has believed in helping and guiding its students and it was no different during the placement session. Launching my career with a good company like BBD Pune wasn't short of a dream come true and I would really like to dedicate a great part of my success to the Department of Computer Science.

ALUMNI

Hiren H Sakhiya

Director, Qodors Technologies Pvt Ltd

We are recruiting students From DCS every year for Project training and Jobs. Department produces skilled and talented students fit in the corporate world. All staff provides their infrastructure for taking practical, tests and arranging interviews for placement purposes.

Recruiter

Brijesh Tekrawala

Director, Differenz system

"We take extreme pleasure in getting associated with Department of Computer Science of VNSGU for recruiting your students as Interns/Permanent employees in our company. We truly appreciate your combined efforts to set up an exclusive placement division to benefit both your students and the IT industry."

Recruiter

Latika Singh

Director, La Net Team Software Solutions Pvt. Ltd.

Being allied with the institution was (and continues to be) an outstanding experience as we have been associated with the Department of Computer Science, VNSGU since 2010 for the placement of their students in our company.

We found the MCA students of the department very competitive and knowledgeable. Their conduct has been consistently good. We are happy to mention that the candidates whom we selected are retained in our company till date. The placement staff of the department are also very cooperative & diligent.

We definitely look forward to maintaining a prolonged relationship with the department.

Recruiter

Rakesh Sarvaiya

HR Manager, Casepoint Pvt Ltd

We have been associated with the Department of Computer Science, VNSGU since 2017 for the placement of their students in our company.

We found the MCA students of the department very competitive and knowledgeable. Their conduct has been consistently good. We are happy to mention that all the candidates whom we selected are retained in our company till date.

The placement staff of the department are also very diligent and cooperative. We definitely look forward to maintaining a prolonged relationship with the department.

Recruiter