MTech in Data Science and AI
Our program aims to equip students with in-depth knowledge and specialized expertise in data science and artificial intelligence, readying them for prominent positions in both industry and academia. You will undertake rigorous coursework, research projects, and hands-on training that sharpen your skills in areas like machine learning, deep learning, and big data analytics, among others.
Eligibility Criteria
Candidates must have qualified in GATE 2024 in the newly introduced DA (Data Science & AI paper). Other GATE disciplines are not eligible for MTech admission to the Department. Other qualifications/scholarship opportunities follow from the standard IIT Madras rules and regulations (available here):
Financial Assistance and Opportunities
Monthly Assistantship
Candidates who have completed 4 year degree program and admitted with Ministry of Education (MoE) assistantship (Half-Time Teaching Assistantship) will get ₹12,400/- per month for 24 months.
PhD Conversion
Meritorious M.Tech. students are eligible for conversion to Ph.D. programme after 1 year.
Industry Projects
Opportunities exist for M.Tech. students to carry out their projects in industries/ approved organizations/ foreign countries.
Exchange Programs
IIT Madras has special exchange fellowships like DAAD, and other overseas research opportunities.
Special Fellowships
Attractive fellowships from a few Govt. organizations and industries are also available for some disciplines.
Curriculum
Semester I (45 credits)
| Course Number | Course Name | Category | L | T | E | P | O | Total Credits |
|---|---|---|---|---|---|---|---|---|
| DA5000 | Mathematical Foundations of Data Science | 4 | - | - | 8 | 12 | ||
| DA5400 | Foundations of Machine Learning | 4 | - | - | 8 | 12 | ||
| DA5300 | Data Structures for Data Science | 4 | 3 | - | 8 | 15 | ||
| DA5401 | Data Analytics Laboratory | 0 | - | 3 | 3 | 6 | ||
| GN5003 | Personal and Professional Growth | - | - | - | - | 0 |
Semester II (45 credits)
| Course Number | Course Name | L | P | O | Credits |
|---|---|---|---|---|---|
| DA5402 | ML Operations Lab | 2 | 3 | 4 | 9 |
| - | Professional Elective 1 | - | - | - | 9 |
| - | Professional Elective 2 | - | - | - | 9 |
| - | Professional Elective 3 | - | - | - | 9 |
| - | Free Elective 1 | - | - | - | 9 |
Semester III (39 credits + 20 Summer Credits)
| Course Number | Course Name | O | Credits |
|---|---|---|---|
| DA6900 | Project I (Summer) | 20 | 20 |
| DA6901 | Project II | 30 | 30 |
| - | Professional Elective 4 | - | 9 |
Semester IV (45 credits)
| Course Number | Course Name | O | Credits |
|---|---|---|---|
| DA6902 | Project III | 45 | 45 |