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Quick Facts

Total Fees
5.00 L
Exam
GATE
Seats
18

Fees Details

General

5.00 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

24 Months

M.Tech Computer Science and Engineering with specialization in Artificial Intelligence (AI) is a postgraduate program designed to provide in-depth knowledge and expertise in the field of AI. This program typically covers a range of advanced topics, including machine learning, neural networks, natural language processing, computer vision, robotics, and generative AI. Students gain a solid theoretical foundation and practical skills through coursework, laboratory work, and projects. The curriculum is often designed to be research-oriented, encouraging students to explore new techniques and innovations in AI. Graduates are well-prepared to tackle complex problems in various industries, from tech companies to healthcare, finance, and beyond.

In addition to technical skills, an M. Tech in this specialization often emphasizes the ethical and societal implications of AI technologies. Students learn about the responsible use of AI, privacy issues, and the potential impact of AI on jobs and society. The program may also offer opportunities for industry internships, collaborations with research labs, and participation in conferences and seminars, providing a well-rounded educational experience. With the growing demand for AI professionals, graduates can pursue careers as data scientists, AI researchers, machine learning engineers, or continue their academic journey with a PhD in related fields.


Important dates

Exams and EventsDates
GATE
Score Card Date - Availability of Score Cards for download by paying a fee of Rs. 500 per test paper (Mode - Online)
31 May'25 - 30 Dec'25
GATE
Exam Date (Mode - Online)
6 Feb'26 - 7 Feb'26
GATE
Exam Date (Mode - Online)
13 Feb'26 - 14 Feb'26
GATE
Result Date (Mode - Online)
18 Mar'26 - 18 Mar'26

Eligibility Criteria

Passed Bachelor’s Degree or equivalent in the relevant field. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.

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