Flexible Timing Work Integrated Learning Program can be pursued through M.Tech in Artificial Intelligence (AI) and Machine Learning (ML). During M.Tech (AI &ML) some of the important concepts like natural language processing(NLP), data mining and big data analytics, advanced algorithms etc are taught. These course programs are specially designed for working professionals, hence the classes are held either in the evening or on weekends. The course emphasizes theoretical as well as practical training and calls for those engineers who want to attain higher educational qualifications while being on the job. Some of the important electives that are also taken into consideration are AI in Robotics, Edge Computing or AI ethics and Governance. There can be many career options in various fields like IT, Finance, Healthcare, Manufacturing, and more as AI engineers, Machine Learning scientists, Data scientists, AI researchers, and Robotics engineers.
For MTech integrated learning program earning an M. Tech in AI & ML from Mangalayatan University has always been a very practical and successful choice. To assist students learn and improve their employability, the lectures are provided to them in the form of recorded lectures or live sessions, coupled with online study materials. The information technology industry has always benefited from exposure to and targeted education on industry innovations such as cloud computing, its security, and innovation for future version upgrades. M.Tech in AI & ML has the power to provide a stable trajectory to your career graph thereby establishing you as a more competent professional with a specialized skillset.
1. M.Tech. CSE-AI & Machine Learning is a Working Professional Programï, recognized by UGC.
2. The programme is of four semesters, with classes conducted on weekends or after business hours.
3. Contact-less and safe 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 Detectionï | |
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