Admission Criteria

Download Prospectus 2021 - 2022

 

Degree

Branch

 

Eligibility Criterion

 

M.Sc.,

Computer Science (Data Science)

 

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.

M.Sc.,

Computer Science (Artificial Intelligence and Machine Learning)

M.Sc.,

Computer Science (Cyber Security)

M.Sc.,

Mathematics

A Bachelor’s degree in Mathematics. 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.

M.A. English Bachelor’s degree with at least 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 with English as major or one of the major subjects.
M.Sc., Applied Psychology B.A./ B.Sc.  three years course in Psychology from a recognized University with 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 at Graduate level.
M.A., Sociology Any Bachelor’s degree from a recognized university with at least 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 at Graduate level.
M.A., Public Administration Any Bachelor’s degree from a recognized university with at least 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 at Graduate level.
M.S.W., Social Work Any Bachelor’s degree from a recognized university with at least 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.at Graduate level.
M.A., Development Studies Any Bachelor’s degree from a recognized university with at least 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 at Graduate level.

 

Selection Procedure

 

Admission for all the above Master degree programmes shall be based on the qualifying marks in the under graduate programme (up to 5 semesters) and online interview.

 

Reservation

 

 Reservation of seats as per the Government of India / UGC norms.

 

UGC Guidelines

 

RGNIYD follows the reservation policy as per UGC Guidelines / Instructions.

 

Duration of the Academic Programme

 

The duration of each post graduate programme will be four semesters. The curriculum has been designed in such a way that an aspiring candidate can take six months full-fledged projects at any national/international organisations or leading MNCs.

 

Number of Seats

 

The institute shall have the discretion to enhance or reduce the number of seats for all the courses

 

Medium of Instruction

 

English