MTech Curriculum (2 year)

Semester I
Course ID Course Name Credits
AI5000 Basics of Machine Learning 3
AI5002 Probability and Random Variables 2
AI5003 Stochastic Processes 1
MA4020 Linear Algebra 3
AI5005 Advanced Data Structures and Algorithms 3
AI5001 Introduction to Modern AI 1
Total 13


Semester II
Course ID Course Name Credits
AI5100 Deep Learning 3
AI/CS/EE/MA AI/ML Electives (baskets below) 8
AI5301 MTech Thesis (TA) Stage - I 2
Total 13


Summer Semester
Course ID Course Name Credits
AI5302 MTech Thesis (TA) Stage - II 2
Total 2


Semester III
Course ID Course Name Credits
AI5303 MTech Thesis (TA) Stage - III 10
Total 10


Semester IV
Course ID Course Name Credits
AI5304 MTech Thesis (TA) Stage - IV 10
Total 10


Summary of Credits
Core Theory 16
Core Electives 8
Thesis 24
Total 48


Electives

Core AI & ML Electives (at least 3 credits from these)
Probabilistic Graphical Models
Statistical Learning Theory
Kernel Methods
Reinforcement Learning
Bayesian Data Analysis
Optimization Methods in Machine Learning
Convex Optimization
Representation Learning


Applied AI & ML Electives (at least 3 credits from these)
Computer Vision
Natural Language Processing
Speech Systems
Image and Video Processing
Data Analytics/Big Data
Applications of AI in Healthcare
Hardware Architectures for Machine Learning
Data Mining
Information Retrieval