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.
The curriculum has been designed to prepare students for highly prolific careers in the industry. Some of the job profiles include Application Analyst, Data Scientist, Data Analyst, Database Administrator, Information Systems Manager, IT Consultant, Multimedia Analyst.
1. M.Tech. CSE-AI & Machine Learning is a Lateral Entry for Working Professional Program, 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.
| Ist SEMESTER | 2nd SEMESTER | 3rd SEMESTER | 4th SEMESTER |
|---|---|---|---|
| Advanced Design Analysis and Algorithm | Software Engineering | Research Methodology | DISSERTATION |
| Numerical Method and Computer Programming | Advance OOPS | Pattern Recognition and Anomaly Detection | |
| Python Programming | Deep Learning | Mini Dissertation | |
| Introduction to Artificial Intelligence & Machine Learning | Departmental Elective-II | Mini Project | |
| Numerical Method and Computer Programming Lab | Computer Programming Lab | ||
| Advanced Design Analysis and Algorithm LAB | Advance OOPS Lab | ||
| ELECTIVE -I ( ANY ONE ) | ELECTIVE -II ( ANY ONE ) | ELECTIVE -III ( ANY ONE ) | ELECTIVE -IV( ANY ONE ) |
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 36,000
• Examination Fees (per semester) : INR 1,000
