B Tech in Computer Science & Information Technology

B.Tech in Computer Science & Information Technology

B. Tech in Computer Science & Information Technology is a defined platform to learn basics and advanced programming about computers. This program nurtures aspirants having an interest in grasping computer technology from grass root to zenith. At Symbiosis University of Applied Sciences B. Tech in Computer Science & Information Technology course, we co-create an ideal ambience for learning through real-time skill development and support from industry-experienced faculty to unlock a new tomorrow.

Our  Skill Based Curriculum for B.Tech. CSIT has been designed by renowned Academicians, Industry Practitioners and Technology Leaders; and is based on the following philosophy :

  • Each subject has got a corresponding practical and skill component, and the 70% weightage is given to practical/skill.
  • We have introduced high growth verticals as domains from 3rd sem onwards namely – BFSI, Retail and e-commerce and Emerging Technologies. A student selects any of these domains and studies it during 3rd -6th semesters. This helps him get into a good internship/job and be productive from day one.
  • The curriculum has been designed in NSQF format and QP/NOSs have been mapped accordingly.
Semester-I Semester-II
Applied Mathematics-I Data Structures
Web Technology Applied Mathematics-II
Computer Organisation & Architecture Operating System
Programming Concepts using C & C++ Software Engineering
Database Management System Object-Oriented Programming Using Java
Office Tools Life Coping Skills – Communication Skills – II and Writing Skills
Communication Skills – I Environmental Studies
Internship / Project
Note: Compulsory Eight Weeks Summer Internship after 2nd Semester and Evaluation would be done in 3rd Semester.
Semester-III Semester-IV
Microprocessors and Microcontrollers Business Processes and MIS in Banking, Financial Services and Insurance

Business Processes and MIS in Retail Managment

Data Warehousing and Minning

Statistics – I Statistics – II
Java 2 Enterprise Edition (J2EE) Computer Networks
Basics of Banking, Financial Services and Insurance

Fundamentals of Retail and E-Commerce

Introduction to Data Science

Application Development Framework using .NET
Analysis and Design of Algorithms Mobile Application Development
Personality Enhancement Skills – I Personal Enhancement Skills – II
Disaster Management Constitution of India
 Internship – II
Note: Compulsory Eight Weeks Summer Internship after 4th Semester and Evaluation
would be done in 5th Semester.
Semester-V Semester-VI
Cryptography & Cyber Security Soft Computing
Theory of Computation & Compilers Internet of Things
Financial Accounting

Supply Chain Management for Retail Management

Machine Learning

IT in Banking, Financial Services and Insurance

Data Analytics using R

Artificial Intelligence Agile Technology
Web Frameworks Cloud Infrastructure & Services
Innovative Project LAMP


Interdisciplinary Course – V Interdisciplinary Course – VI
Industry Internship / Project
Semester-VII Semester-VIII
Final Project and Dissertation Industry Internship / Project
Advanced Database Management System Seminar
Advanced Cloud Computing


·      Core Elective – Related to project domain/technology, and is to be studied in online mode.
·      Open Elective – Related to interest, Entrepreneurship, management etc. and is to be studied in online mode.
·      Open and core electives will be decided by the student in consultation with the faculty supervisor/mentor.
·      Evaluation of internship/project and electives will be done at the end of each semester.


Domain Verticals & Subjects:
Domain BFSI Retail Technology
Domain Foundation-I Basics of Banking, Financial Services and Insurance Introduction of Retail and  E-Commerce Introduction to Data Science
Domain Foundation-II Business Processes and MIS in Banking, Financial Services & Insurance Business Processes and MIS in Retail Management Data Warehousing & Mining
Domain Advance-I Financial Accounting Supply Chain  Management Machine Learning
Domain Advance-II IT in Banking, Financial Services & Insurance IT in Retail Management Data Analytics using R & Python

The University has set up specialized IT Labs to enable the students to develop a strong foundation of the basics and build complex applications through extensive practical work and industry-sponsored projects.

Computer Network Lab: Equipped with latest networking-related devices, the lab facilitates students to perform Computer Network practicals and Network simulations to provide a solution to the practical problems faced by computer scientists.

Algorithms Lab: The lab provides a requisite environment for Design and Analysis of Algorithms for solving complex problems in the field of computer science. Students execute all data structure and other algorithm related practicals in the lab. The latest platforms/compilers are provided to the students to run their programs.

Programing Lab: This lab gives the students an opportunity for learning and a better understanding of the basic concepts and constructs of computer programming. This lab prepares our students to learn all new paradigm of programming which is getting popular day by day.

DBMS Lab: The Lab is dedicated to Database related practicals. High configuration computer systems installed with the software’s so that students can execute their Database related projects and assignments.

Projects Lab: The lab is dedicated for the students to develop their Minor and Major projects. All project related software is installed in this lab to fulfill the requirements of development.

Research, Research Grants, Consultancy Projects and Scholarships are central to the mission of the Symbiosis University of Applied Science (SUAS) so as the School of Computer Science and Information Technology. Commensurate with the University’s mission, vision and core values, as well as with its commitment to introduce and pursue skill-based education, increased emphasis shall be placed on the skill-oriented research and innovation practices for both faculty members and students. The thrust area identified under the Research Program involves:

  • Software development for Desktop, Server, Network and Mobile
  • Artificial Intelligence, Machine Learning, and Deep Learning
  • Human-Computer Interaction and Visualization and IoT
  • Computer-assisted educational tool development and e-learning
  • Database Management Systems (DBMS) and Query processing

School of CS & IT has encouraged students to take up entrepreneurship as a career and provides all kind of support, facilities and connect to help them. 12 of our students are working on their own start-up ventures.

School of CS&IT believe our students possess the ability to engage in multiple interests and approximately 20 student organizations are there on the campus to enrich the social, cultural and educational experiences of our students. Around 4 of them are there with the direct mentorship of School of CS & IT viz.

  • Computer Society of India Chapter
  • Robotics Club
  • Coding Club
  • Sympreneur (E-cell of SUAS)

Click Here to View Fees For the Academic Year 2024-25 Indian Students.

Discretionary Quota

Few Seats are reserved for Discretionary Quota Seats. Only students with a high academic record are considered for Discretionary Quota Seats. The fees for Discretionary Quota Seats will be double the Academic fees for Indian Students to be paid to the University.

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