M.Tech.

Master of Technology in Machine Intelligence & Decision Science

 M.Tech Machine Intelligence and Decision Sciences Course

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)

Program Outcomes (PO)

 

Course Outline & Syllabus - M.Tech. in Machine Intelligence & Decision Science

Click Here for Course Structure

 

 

 

Key Dates & Deadlines

15

15

Mar ' 23

Last date to Apply

'

Tentative Course Commencement Date

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

Next Steps

Get the perfect start to your dream career by joining the Institution of Eminence