M.Tech - AI

Programme structure

Overall Structure of the Program

  • Specialization Core (21/22 credits):
    • CSE Core 14 credits  + at least 2 courses from Appendix A (i.e list of AI program core courses)
  • Elective Course credits (14 or more credits)
    • Specialization electives: At least 3 other courses from Appendix B (i.e.  list of AI program electives)
    • Department/Open Elective: One additional course i.e. 3/4 additional credits (any PG elective course). Even non-CSE PG course can be considered but with due approval from CSE RPEC and CSE HoD.
  • MTech Project (28 credits) :
    • One can register for the MTech project component only after successfully completing at least 21 course credits
    • MTech Project: Student interested in obtaining this specialization must undertake a MTech project in the area of Artificial Intelligence (or its allied areas, refer item 14)

Students will  be encouraged to take up interdisciplinary projects for fulfilling their MTP requirements. Relevance of this project with the theme of specialization would be decided by the steering committee of this specialization.

  • For the summer short semester, registration in non credited summer project or doing internship in an Industry is a mandatory component for the degree completion.

Max number of credits one can register in a semester = 24 

Semester I

Sno

Course No

Course Title

L-T-P-S-C

Credits

1

CS506

Data Structures and Algorithms

3-1-2-6-4

4

2

CS526

Mathematics for Computer Science

3-1-0-5-3

3

3

CS527

Computer Systems

3-0-2-7-4

4

4

CS509

PG Software Lab

0-0-6-6-3

3

Semester II

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CSXXX

AI Program core I

------

4

2

CSXXX

AI Program core II

------

4 or 3

3

CSXXX

Elective I

------

3 or 4

4

CSXXX

Elective II

------

3 or 4

5

XXXXX

Elective III

------

3 or 4

5

CS500

PG Seminar 

-----

0 (S/Z)

Summer Semester

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CSxxx

Summer Project or Industry Internship

-----

 0 (S/Z)

Semester III

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

XXXX

Colloquium Series  (approximately 1 hr/week)

-----

 0 (S/Z)

2

XXXXX

Elective IV

------

3 or 4

3

CS698

Project-1

0-0-24-12-12

12

Semester IV

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CS500

PG Seminar  (Topics specific to one’s research Project)

-----

0 (S/Z)

2

CS699

Project-2

0-0-32-16-16

16

 

Area of Research for Internship/ Project :

 

Core topics in Artificial Intelligence (AI), Machine Learning (ML) and Data Mining (DM). Applications of AI/ML/DM in areas such as Internet of Things, Computer Vision and Image processing are also included.