M.Tech in Artificial Intelligence & Data Science

Innovating for a Better Future

M. Tech. (AI & DS) is a specialized two-year postgraduate programme offered by the Department of CSE & IT, that integrates the core concepts of artificial intelligence (AI) & data science (DS). This programme is designed to equip students with the skills and expertise to develop AI-driven solutions using large-scale data, while also addressing the theoretical foundations and practical applications of both fields. Students will learn to analyze complex datasets, build intelligent systems, and deploy machine learning and deep learning models across various domains such as healthcare, finance, business analytics, and more. First Year is devoted to courses related to AI and data science and allied fields. Second year of the programme is devoted to dissertation / industrial internship or IT entrepreneurship project, & thus students have option to start their internship at Industry also.

Students who have completed B.Tech./BE in any discipline / MCA / MSc. (Maths, Operation Research, Statistics, Physics, etc) may apply for this M.Tech programme.

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M.Tech in Artificial Intelligence & Data Science

Curriculum Structure

Curriculum has been carefully designed to meet the objectives as mentioned earlier. We understand that in order to cater the demands of the market and meet the challenges of the future the curriculum is subjected to change.

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Academic Year 2025-26

First Semester

S.No.	Course Code	Course Title	Contact Hours				Credits
			L	T	P	Total
1	XXXXXXX	Fundamental of Artificial Intelligence	3	0	0	3	3
2	XXXXXXX	Fundamental of Data Science	3	0	0	3	3
3	XXXXXXX	Elective – I	3	0	0	3	3
4	XXXXXXX	Elective – II	3	0	0	3	3
5	XXXXXXX	Research Methodology and Intellectual Property Rights	2	0	0	2	2
6	XXXXXXX	Artificial Intelligence Lab	0	0	2	2	1
7	XXXXXXX	Data Science Lab	0	0	2	2	1
8	XXXXXXX	Advanced Data Structures and Programming Lab	0	0	2	2	1
Total						20	17

Second Semester

S.No.	Course Code	Course Title	Contact Hours				Credits
			L	T	P	Total
1	XXXXXXX	Soft Computing	3	0	0	3	3
2	XXXXXXX	Big Data Analytics	3	0	0	3	3
3	XXXXXXX	Elective – III	3	0	0	3	3
4	XXXXXXX	Elective – IV	3	0	0	3	3
5	XXXXXXX	Elective – V	3	0	0	3	3
6	XXXXXXX	Audit-I (To be offered by HSS Dept)	2	0	0	2	Qualifying
7	XXXXXXX	Project Based Learning-I	0	0	4	4	2
8	XXXXXXX	Soft Computing Lab	0	0	2	2	1
9	XXXXXXX	Performance Engineering Lab	0	0	2	2	1
10	XXXXXXX	Big Data using Hadoop Lab	0	0	2	2	1
TOTAL						27	20

Third Semester

S.No.	Course Code	Course Title	Contact Hours				Credits
			L	T	P	Total
1	XXXXXXX	Open Elective	3	0	0	3	3
2	XXXXXXX	Seminar & Term Paper OR Earn credits by transfer, e.g., MOOCs, Course Work at another Institute, Supervised Study				4	4
3	XXXXXXX	Project Based Learning-II				8	4
4	XXXXXXX	Dissertation / Industrial Project / Entrepreneurial Project				8	4
5	XXXXXXX	Audit-II (To be offered by HSS Dept)	2	0	0	2	Qualifying
TOTAL						25	15

Fourth Semester

S.No.	Course Code	Course Title	Contact Hours				Credits
			L	T	P	Total
1	XXXXXXX	Dissertation / Industrial Project / Entrepreneurial Project				32	16
TOTAL						32	16

Total Credits: 68 (17+20+15+16)

Tentative list of MTech (AI & DS) Electives (To be updated time to time)

Meta Heuristics Modeling
Advanced Programming using R and Python Introduction to Statistical Learning
Natural Language Processing Reinforcement Learning Text Analytics
Essential Statistics for Data Science Deep Learning
Cognitive Systems Data Visualization