The centre offers a dual-degree (M.Tech) program for students of IITKGP who are currently enrolled in 4-year UG programs in any department that have partnership with the centre. Interested students may apply by the end of their 6th semester. There are currently 40 seats available. Selected students will have to complete 5 core subjects by their 8th semester, including one (AI42001) before applying. They also have to complete 3 elective subjects from the centre in their 9th and 10th semesters, and also carry out MTP-1 and MTP-2 under the centre's supervision.
This program may be opted for by students of BTech or BS program belonging to various Departments by the end of their 6th Semester. The selection will be based on seat availability, the students’ Department, and the students’ academic performance till their 6th semester.
For eligibility to apply, a student should have completed the following subject as a "breadth subject" by the end of their 6th semester:
Number | Name | Credits | Semester |
AI42001 | Machine Learning Foundations and Applications | 3-0-3 (5) | Autumn + Spring |
Selected students will have to take the following core subjects in semesters 7 and 8:
Semester 7
Number | Name | Credits | Semester |
AI61005 | Artificial Intelligence Foundations and Applications | 3-1-0 (4) | Autumn+Spring |
AI61003 | Linear Algebra for AI and ML | 3-1-0 (4) | Autumn |
Semester 8
Number | Name | Credits | Semester |
AI61002 | Deep Learning Foundations and Applications | 3-1-0 (4) | Spring |
AI69002 | Design Lab | 0-0-3 (2) | Spring |
In the 9th and 10th semester, the student should take at least 3 electives from the list below:
Number | Name | Credits | Semester |
AI61004 | Statistical Foundations of AI and ML | 3-1-0 (4) | Spring |
AI61006 | Artificial Intelligence for Cyber-physical Systems | 3-1-0 (4) | Spring |
AI61009 | Artificial Intelligence for Manufacturing | 3-1-0 (4) | Autumn |
AI60002 | Machine Learning for Earth System Science | 3-0-0 (3) | Spring |
AI60003 | Artificial Intelligence for Economics | 3-0-0 (3) | Autumn |
AI60004 | Big Data Processing | 3-0-0 (3) | Spring |
AI60006 | Dependable and Secure AI-ML | 3-0-0 | Spring |
AI60008 | Knowledge Modelling and Semantic Web Technologies | 3-0-0 | Spring |
The student should also do MTP-1 and MTP-2, under faculty members from the centre or partner departments.