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M.Tech in Artificial Intelligence


The curriculum includes four core theory courses and three core lab courses to lay strong foundations for the students. There is a wide variety of specialized electives encompassing many areas of Artificial Intelligence and data science. The MTech project requires the student to spend one year on a substantial research topic. The curriculum is available at the link.

Semester 1

Type of Subject
Subject No.Subject NameL-T-P (Credits)
Depth Core I
AI60203

Foundations of Machine Learning

3-0-0 (3)
Depth Core IIAI60211Algorithmic and Mathematical Foundations for Artificial Intelligence4-0-0 (4)
Depth Core IIIAI69201Machine Learning Laboratory0-0-3 (2)
Depth Core IVAI69205Data Engineering Laboratory0-0-3 (2)
Depth Core VAI68101Seminar0-0-3 (2)
Breadth Elective I


Depth Elective I


Depth Elective II


List of Depth Elective I

Subject No.Subject NameL-T-P (Credits)
AI61201Visual Computing with AI/ML3-1-0 (4)
CS60017Social Computing3-0-0 (3)
CS60018Statistical Learning Theory3-0-0 (3)
CS60021Scalable Data Mining3-0-0 (3)
CS60073Advanced Machine Learning3-0-0 (3)
CS60075Natural Language Processing3-0-0 (3)
AI60007Graph Machine Learning: Foundations and Applications3-0-0 (3)
AI60205Interpretable Machine Learning3-0-0(3)
AI60209AI/ML for Robot Autonomy4-0-0 (4)
AI61004Statistical Foundation for Artificial Intelligence and Machine Learning3-1-0 (4)
AT60005Embedded Machine Learning3-0-0 (3)

List of Depth Elective II

Subject No.Subject NameL-T-P (Credits)
AI61201Visual Computing with AI/ML3-1-0 (4)
AI60007Graph Machine Learning: Foundations and Applications3-0-0 (3)
AI60205Interpretable Machine Learning3-0-0(3)
AI60209AI/ML for Robot Autonomy4-0-0 (4)
AI61004Statistical Foundation for Artificial Intelligence and Machine Learning3-1-0 (4)

Semester 2

Type of Subject
Subject No.Subject NameL-T-P (Credits)
Depth Core VI
AI61002

Deep Learning Foundations and Applications

3-1-0 (4)
Depth Core VIIAI61005Artificial Intelligence: Foundations and Applications3-1-0 (4)
Depth Core VIIIAI69202Deep Learning Laboratory0-0-3 (2)
Depth/Breadth Elective I


Depth Elective III


Depth Elective IV


Project IAI67104Project - 10-0-3 (2)

List of Depth/Breadth Elective I

Subject No.Subject NameL-T-P (Credits)
AI60202Advanced Learning Paradigms for Artificial Intelligence3-0-0 (3)
AI60002Machine Learning for Earth System Sciences3-0-0 (3)
AI60004Big Data Processing3-0-0(3)
AI60006Dependable and Secure AI-ML3-0-0 (3)
AI60008Knowledge Modelling and Semantic Web Technologies3-0-0 (3)
AI60201Graphical and Generative Models for Machine Learning3-0-0 (3)
AI61006Artificial Intelligence for Cyber Physical Systems3-1-0 (4)

List of Depth Elective III

Subject No.Subject NameL-T-P (Credits)
AI60202Advanced Learning Paradigms for Artificial Intelligence3-0-0 (3)
AI60002Machine Learning for Earth System Sciences3-0-0 (3)
AI60004Big Data Processing3-0-0(3)
AI60006Dependable and Secure AI-ML3-0-0 (3)
AI60008Knowledge Modelling and Semantic Web Technologies3-0-0 (3)
AI60201Graphical and Generative Models for Machine Learning3-0-0 (3)
AI61006Artificial Intelligence for Cyber Physical Systems3-1-0 (4)

List of Depth Elective IV

Subject No.Subject NameL-T-P (Credits)
AI60202Advanced Learning Paradigms for Artificial Intelligence3-0-0 (3)
AI60002Machine Learning for Earth System Sciences3-0-0 (3)
AI60004Big Data Processing3-0-0(3)
AI60006Dependable and Secure AI-ML3-0-0 (3)
AI60008Knowledge Modelling and Semantic Web Technologies3-0-0 (3)
AI60201Graphical and Generative Models for Machine Learning3-0-0 (3)
AI61006Artificial Intelligence for Cyber Physical Systems3-1-0 (4)

 Semester 3

Type of Subject
Subject No.Subject NameL-T-P (Credits)
Depth Core IX
AI68103

Summer Internship

0-0-0 (4)
Project IIAI67105Project - 20-0-0 (16)

Semester 4

Type of Subject
Subject No.Subject NameL-T-P (Credits)
Project IIIAI67106Project - 3
0-0-0 (20)


Research Areas

Artificial Intelligence and Machine Learning, Knowledge Representation and Reasoning, Information Retrieval, Robotics, Control, Trustworthy AI, Natural Language Processing, Computer Vision and Image Processing, Complex Networks, Social Computing, Cyber-Physical Systems, Safe Learning.