M.Tech Computer Science and Engineering

Mastering the Future of Computing

The postgraduate program in Computer Science and Engineering combines strong theoretical foundations with practical applications. It prepares students with core skills and adaptability for the evolving computing landscape. The curriculum covers advanced core topics alongside flexible electives tailored to individual professional goals. Key areas include Software Engineering, Big Data, Data Analytics, Artificial Intelligence, High-Performance Computing, Cloud Computing, and Information Security.

Semester-Wise Learning Structure

No.

Course Category (Credits – 25)

Linear Algebra and its Applications

Machine Learning

Advanced DBMS

Wireless Networks

Advanced Operating Systems

Cryptography and Network Security

Mini Project

No.

Course Category (Credits – 25)

Calculus for Machine Learning and Data Science

NLP and Gen AI

Big Data Analytics

Computer Vision and Image Processing

Distributed and Cloud Computing

Program Elective 1

Program Elective 2

No.

Course Category (Credits – 18)

Industrial Training / In-House Training

Minor Project

No.

Course Category (Credits – 20)

Project Work

Career and Impact Beyond the Classroom

The M.Tech in Computer Science and Engineering equips graduates with advanced technical knowledge, research acumen, and leadership skills to innovate and excel in a global digital ecosystem. Our graduates are expected to:

01

Gain in depth knowledge of Computer Science and Engineering and acquire capabilities to compete at global level with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge to conduct research in theoretical, practical and policy context.

02

Have in depth knowledge and research skills to professionally practice in a variety of fields including databases, computer network, system software and Embedded Systems.

03

Acquire strengths and skills to work in a collaborative and multidisciplinary work and learn techniques to use modern tools required for simulation, modeling and measuring.

04

Have knowledge and understanding of managing projects and finance efficiently as a member and leader in a team with greater communication skills preferred by the profession.

05

Acquire professional and intellectual integrity and ethics, learn independently and continuously to upgrade the knowledge and competence with enthusiasm.

Graduate Attributes You’ll Carry Forward

01

An ability to independently carry out research /investigation and development work to solve practical problems.

02

An ability to write and present a substantial technical report/document.

03

Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

04

An ability to use modern computational tools in modeling, simulation and analysis with effective participation in multidisciplinary teams and contribute towards achieving the common goals of the team.

05

An ability to work with integrity and ethics in their professional practice having an understanding of responsibility towards society with sustainable development for life time.

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Have Questions? We’re Here to Help

For any queries regarding the program, eligibility, admission process, fee structure, or anything else you’d like to know — we’re here to help. Whether you’re a prospective student or a parent seeking clarity, feel free to reach out to our team.