Discipline	Science
Program Level	Post Graduate (PG)
Qualification	M.Sc. in Artificial Intelligence and Machine learning
Total Seats	40
Program Duration(in Months)	24
Classroom Hours	1
Examination/Course Pattern	semester
Program Description	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
Admission & entry requirements	Bachelor’s degree in Computer Applications / Computer Sciences / Mathematics / or any Bachelor’s degree in Science stream with Mathematics as one of the subjects for at least four semesters. Candidates should have secured a minimum of 50% marks or 5.5 CGPA (on a 10-point scale) in the qualifying degree examination for General Category, 45% marks or 5.5 CGPA (on a 10 point scale) for OBC (Non-creamy layer) and Pass marks or 5.0 CGPA (on a 10-point scale) for SC/ST/PWD/EWS candidates.