M.Tech.
Master of Technology in Machine Intelligence & Decision Science
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Overview - Machine Intelligence & Decision Science
Program Description
M. Tech. in Machine Intelligence and Decision Science provides graduates with the necessary skills to specialize in Machine Intelligence and Decision Science.
Focus
The course focuses on subjects like Artificial Intelligence, Probabilistic Graphical Models, Statistical Machine Learning, Deep Learning, Explainable AI (XAI), and Convex Optimization; there is a wide range of electives related to their domain to prepare the graduates in relevant fields.
Career Prospectus
Students would be able to apply the knowledge of Machine Intelligence and Decision Science to solve problems in predictive and decision support systems and pursue multi-disciplinary research. Graduates of this program have scope in multiple roles such as AI Developer, AI Engineer, Machine Learning Scientist, Decision Scientist, and Data Scientist. In addition, they are eligible for Public Sector Units like ISRO labs, DRDO, and CSIR labs. They are skilled enough to undertake research in India and abroad.
Programme Educational Objectives (PEO)
Course Outline & Syllabus - M.Tech. in Machine Intelligence & Decision Science
Click Here for Course Structure
Key Dates & Deadlines
15
Mar 15 23
Mar ' 23
Last date to Apply
'
Tentative Course Commencement Date
Indian Students Apply
Manipal Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
International Students Apply
Manipal Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
Indian Students Apply
Manipal Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
International Students Apply
Manipal Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
Duration
2 years (4 semesters)
Eligibility
Those who have pursued under-graduation in following disciplines are eligible to take admission for M.Tech (Machine Intelligence & Decision Science):
1) |
Computer Science & Engineering |
2) |
Computer and Communication Engineering |
3) |
Information Technology |
4) |
Information Science & Engineering |
5) |
Electronics & Communication Engineering |
6) |
Electrical & Electronics Engineering |
7) |
Electrical Engineering |
8) |
Instrumentation Engineering |
9) |
Artificial Intelligence & Machine Learning |
10) |
Data Science & Engineering |
11) |
Biomedical Engineering |
12) |
Cyber Security |
Facilties

Laboratories
World-class laboratories give learning a practical dimension

Innovation Centre
State-of-the-art Innovation Centre to facilitate multi-disciplinary research

Libraries
Libraries have excellent resources for reference and study

MUTBI
Paper tree - A green initiative by MIT students of MUTBI
Computing Facility
Wi-fi campus with modern computing and digital facilities