M.Sc. Computer Science (Artificial Intelligence & Machine Learning)

This specialist course focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours.

This taught postgraduate course is aimed at students who may not have studied computing exclusively, but who have studied a considerable amount of computing already.

 

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal. This specialism focuses on artificial intelligence and knowledge engineering, and the development of computational and engineering models of complex cognitive and social behaviours. Study areas include machine learning algorithms, non-traditional optimization techniques, cognitive robotics, complexity, complex systems, computational finance, computer networks and Security, Cloud Computing, and distributed systems.

Reasons to Choose RGNIYD’s Artificial Intelligence and Machine Learning Programs

  • State-of-the-art facilities include dedicated laboratories for Computer Science students and research laboratories for Security, Medical Imaging, Intelligent Robotics and Computer Vision
  • RGNIYD is one of the Institution of National Importance in the country for postgraduate study in computer science, and we are proud to deliver outstanding programmes that offer a range of exciting career opportunities for students from around the world.
  • Dedicated six months industrial projects tie-up with leading MNCs
  • Well-structured curriculum bridging institution-industry relationship
  • Continued high job growth in the area of Artificial Intelligence and Machine Learning makes it a great time to advance in your career with a master’s degree from RGNIYD—one of the leading research and teaching institutions

 

Faculty

 

Placement and Internship - M.Sc. Computer Science (Artificial Intelligence & Machine Learning) 

 

 

  Name :Dr. B. Rajesh Kanna

  Designation : Associate Professor & HoD

  Department : Computer Science (AI & ML)

  Contact No. : -

  E-mail : rajeshkanna@rgniyd.gov.in

 

 

 

 

 

 Name          :  Ms. J. Elakkiya

 Designation : Assistant Professor (on contract)

 Department :  Computer Science (Artificial Intelligence & Machine Learning)

 Email           : -

 

 

 

 

Syllabus - Regulation : 2021

 

Syllabus - Regulation : 2023

 

Student Profiles

 

First Entrepreneur of M.Sc. Computer Science (Artificial Intelligence & Machine Learning)

 

 Mr. Midhun Lal . V.S

 Founder & CEO | Coding Monks Innovations LLP