M.Tech in Computer Science and Engineering (CSE) with a specialization in Artificial Intelligence and Machine Learning program has been designed for students with sufficient background in computer science and engineering to develop into adept professionals. M.Tech in CSE is a graduate degree that builds skill and knowledge in advanced and current topics of computer science with a focus on AI topics. The degree is suitable for students with a bachelor’s degree in a computing-related field as well as students who want to demonstrate computer science expertise in addition to a degree in another field.
This programme helps students to utilisecybersecurity measures to protect the data and manage the personal conduct in relation to protecting the data and information. In addition, this post-graduate programme train students to scale up the demand from multiple industrial areas on the cyber world to promote effective methods practices and tools to counter the cybercrime. 
1. M.Tech. CSE-AI & Machine Learning is a Work Integrated Learning Programme (WILP), recognized by UGC.
2. The programme is of four semesters, with online classes conducted on weekends or after business hours.
3. Contact-less and safe Online exams facility.
4. Lectures are delivered by faculty members and experienced industry professionals.
5. The Dissertation in the final semester enables students to apply concepts and techniques learnt during course work to solve current environmental problems.
6. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
7. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.

| Ist SEMESTER | 2nd SEMESTER | 3rd SEMESTER | 4th SEMESTER |
|---|---|---|---|
| Advance Mechanics of Solid | Finite Element Methods | Departmental Elective III | DISSERTATION |
| Numerical Method and Computer Programming | Industrial Tribology | Departmental Elective IV | |
| Fracture Mechanics | Departmental Elective-I | Mini Dissertation | |
| Advance Mechanical Vibration | Departmental Elective-II | ||
| Numerical Method and | Computer Integrated Manufacturing (CIM) Lab | ||
| Computer Programming Lab | Advanced Machine Design Lab | ||
| Advance Mechanical Vibration Lab | |||
| ELECTIVE -I ( ANY ONE ) | ELECTIVE -II ( ANY ONE ) | ELECTIVE -III ( ANY ONE ) | ELECTIVE -IV( ANY ONE ) |
1. Working Professionals with ITI having minimum 45% marks or its equivalent.
2. At least one year of work experience.
Live & Recorded Lectures with cutting-edge tutorials.
Interact and Collaborate with Peers and Faculty
Online Mentoring
Use of Multimedia and Open Educational Resources
'Flipped' Classrooms
E-portfolio & Peer Assessment
Work Integrated Advantage
Experiential Learning
Academic & Industry Mentorship
Continuous Assessment
Dissertation/Project Work
• Application Fees (one time) : INR 1,000
• Semester Fees (per semester) : INR 16,250
• Examination Fees (per semester) : INR 1,000
