CURRICULUM
M.Tech. (Artificial Intelligence & Data Science)
Semester - I
S.No. Code Course Title L-T-P TA MSE ESE Total Credits
1 CS32111CS Mathematical foundation for Data Science 3-0-0 20 30 100 150 3
2 CS32112CS Advanced Data Structures & Algorithms 3-0-0 20 30 100 150 3
3 CS32113CS Applied Machine and Deep learning 3-0-0 20 30 100 150 3
4 CS3212XCS Elective-1 3-0-0 20 30 100 150 3
5 CS3212XCS Elective-2 3-0-0 20 30 100 150 3
6 CS32141CS Lab with Capstone Project- Advance Data structure with Python Programming 0-0-4 25 25 50 100 2
7 CS32142CS Lab with Capstone Project- ML& DL lab 0-0-4 25 25 50 100 2
8 CS32161CS Seminar & Comprehensive 0-0-3 -- -- 50 50 1
Total Credits 20
Tentative List of Elective Subjects may be updated as and when required
Elective-1 Elective-2
Code Course Title Code Course Title
CS32121CS Recommender Systems CS32125CS Advanced Deep Learning and Computer Vision
CS32122CS Quantum Machine Learning CS32126CS Image and Video Analytic Fundamentals
CS32123CS Computational Methods in Optimization CS32127CS Graph Neural Networks
CS32124CS Parallel Computing