Discipline	Computer Science
Program Level	Post Graduate (PG)
Qualification	Master of Science (M.Sc)
Total Seats	40
Program Duration(in Months)	24
Classroom Hours	1
Examination/Course Pattern	semester
Program Description	Given the tremendous growth of digital data and the desire of enterprises to derive more and more value from it, data analytics talent is increasingly sought after by industry. The World Economic Forum “Jobs of Tomorrow” report of 2020 suggests an annual growth rate of 41 percent for data science and AI professions, with job titles such as artificial intelligence specialist, data scientist, data engineer, big data developer, and many others. The master’s degree concentrations and graduate certificate in Data Analytics at RGNIYD is one of the leading research and teaching institutions and it can help you develop sought after expertise in data analytics. Reasons to Choose RGNIYD’s Data Science Programs State of the art infrastructure Qualified faculty members with industrial experience 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 data analytics 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 Six unique Specializations to choose from Data Science Generalist, Deep Learning, Natural Learning Processing, Business Intelligence/ Data Analytics, Business Analytics and Data Engineering
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.