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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 Name	L-T-P (Credits)
Depth Core I	AI60203	Foundations of Machine Learning	3-0-0 (3)
Depth Core II	AI60211	Algorithmic and Mathematical Foundations for Artificial Intelligence	4-0-0 (4)
Depth Core III	AI69201	Machine Learning Laboratory	0-0-3 (2)
Depth Core IV	AI69205	Data Engineering Laboratory	0-0-3 (2)
Depth Core V	AI68101	Seminar	0-0-3 (2)
Breadth Elective I
Depth Elective I
Depth Elective II

List of Depth Elective I

Subject No.	Subject Name	L-T-P (Credits)
AI61201	Visual Computing with AI/ML	3-1-0 (4)
CS60017	Social Computing	3-0-0 (3)
CS60018	Statistical Learning Theory	3-0-0 (3)
CS60021	Scalable Data Mining	3-0-0 (3)
CS60073	Advanced Machine Learning	3-0-0 (3)
CS60075	Natural Language Processing	3-0-0 (3)
AI60007	Graph Machine Learning: Foundations and Applications	3-0-0 (3)
AI60205	Interpretable Machine Learning	3-0-0(3)
AI60209	AI/ML for Robot Autonomy	4-0-0 (4)
AI61004	Statistical Foundation for Artificial Intelligence and Machine Learning	3-1-0 (4)
AT60005	Embedded Machine Learning	3-0-0 (3)

List of Depth Elective II

Subject No.	Subject Name	L-T-P (Credits)
AI61201	Visual Computing with AI/ML	3-1-0 (4)
AI60007	Graph Machine Learning: Foundations and Applications	3-0-0 (3)
AI60205	Interpretable Machine Learning	3-0-0(3)
AI60209	AI/ML for Robot Autonomy	4-0-0 (4)
AI61004	Statistical Foundation for Artificial Intelligence and Machine Learning	3-1-0 (4)

Semester 2

Type of Subject	Subject No.	Subject Name	L-T-P (Credits)
Depth Core VI	AI61002	Deep Learning Foundations and Applications	3-1-0 (4)
Depth Core VII	AI61005	Artificial Intelligence: Foundations and Applications	3-1-0 (4)
Depth Core VIII	AI69202	Deep Learning Laboratory	0-0-3 (2)
Depth/Breadth Elective I
Depth Elective III
Depth Elective IV
Project I	AI67104	Project - 1	0-0-3 (2)

List of Depth/Breadth Elective I

Subject No.	Subject Name	L-T-P (Credits)
AI60202	Advanced Learning Paradigms for Artificial Intelligence	3-0-0 (3)
AI60002	Machine Learning for Earth System Sciences	3-0-0 (3)
AI60004	Big Data Processing	3-0-0(3)
AI60006	Dependable and Secure AI-ML	3-0-0 (3)
AI60008	Knowledge Modelling and Semantic Web Technologies	3-0-0 (3)
AI60201	Graphical and Generative Models for Machine Learning	3-0-0 (3)
AI61006	Artificial Intelligence for Cyber Physical Systems	3-1-0 (4)

List of Depth Elective III

Subject No.	Subject Name	L-T-P (Credits)
AI60202	Advanced Learning Paradigms for Artificial Intelligence	3-0-0 (3)
AI60002	Machine Learning for Earth System Sciences	3-0-0 (3)
AI60004	Big Data Processing	3-0-0(3)
AI60006	Dependable and Secure AI-ML	3-0-0 (3)
AI60008	Knowledge Modelling and Semantic Web Technologies	3-0-0 (3)
AI60201	Graphical and Generative Models for Machine Learning	3-0-0 (3)
AI61006	Artificial Intelligence for Cyber Physical Systems	3-1-0 (4)

List of Depth Elective IV

Subject No.	Subject Name	L-T-P (Credits)
AI60202	Advanced Learning Paradigms for Artificial Intelligence	3-0-0 (3)
AI60002	Machine Learning for Earth System Sciences	3-0-0 (3)
AI60004	Big Data Processing	3-0-0(3)
AI60006	Dependable and Secure AI-ML	3-0-0 (3)
AI60008	Knowledge Modelling and Semantic Web Technologies	3-0-0 (3)
AI60201	Graphical and Generative Models for Machine Learning	3-0-0 (3)
AI61006	Artificial Intelligence for Cyber Physical Systems	3-1-0 (4)

 Semester 3

Type of Subject	Subject No.	Subject Name	L-T-P (Credits)
Depth Core IX	AI68103	Summer Internship	0-0-0 (4)
Project II	AI67105	Project - 2	0-0-0 (16)

Semester 4

Type of Subject	Subject No.	Subject Name	L-T-P (Credits)
Project III	AI67106	Project - 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.