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Quick Facts

Total Fees
3.46 L
Exam
GATE
Seats
30

Fees Details

General

3.46 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

Master of Technology (M.Tech) in Artificial Intelligence is a two-year (4 semesters) full-time postgraduate program recognized by All India Council for Technical Education (AICTE) and offered by the School of Engineering, Coimbatore at Amrita Vishwa Vidyapeetham, Coimbatore.

As we see a tech revolution in all facets of life powered by Artificial Intelligence, Amrita Vishwavidyapeetham offers an M. Tech. program in AI at Amritapuri campus to provide young engineers with a futuristic edge.

M. Tech. in AI will provide the students with an opportunity to learn both foundational and experimental components of AI and Machine Learning. The program will open various career opportunities involving innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies as well as research careers in AI and ML.


Important dates

Exams and EventsDates
GATE
Application Date - Without late fee (Mode - Online)
27 Aug'25 - 28 Sep'25
GATE
Late Fee Application Date - With late fee (Mode - Online)
28 Sep'25 - 9 Oct'25
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

Pass with Minimum 60% in B. E./ B. Tech./ M.Sc in engineering or sciences discipline. The degree should be of relevance to the opted M.Tech program.

Qualifying Degree - B.E/B.Tech (CSE,IT,ECE,EEE,EIE,Inform ation Science), MCA, MSc.Computer Science, MSc.IT, Msc.Software Engineering.

Admission Details

  • Direct admission to GATE qualified students.
  • Non GATE qualified students will be admitted based on academic records and performance in interview.

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