GM University, Davanagere M.Sc (Data Analytics) FAQs
Ques. What is the total fee for M.Sc (Data Analytics) at GM University, Davanagere?
Ans. The total fee for the M.Sc (Data Analytics) programme at GM University is INR 2,25,000 for the two-year course, at INR 1,12,500 per year payable in two instalments each year. Examination and registration fees, along with hostel charges, are payable separately.
Ques. What is the eligibility for M.Sc (Data Analytics) at GM University?
Ans. Candidates must hold a B.Sc in Computer Science, Mathematics, Statistics, or Information Technology; BCA or B.Tech/BE in CS, IT, or a quantitative discipline from a recognised university with a minimum of 50 percent aggregate marks. Admission is through GMUSET or on the basis of UG qualifying marks as notified.
Ques. How is admission done for M.Sc (Data Analytics) at GM University?
Ans. Admission is through the GMUSET (GM University Scholarship and Entrance Test) or merit-based on qualifying degree marks, via an online application on the GM University admissions portal (gmu.ac.in). Shortlisted candidates attend document verification and pay the prescribed fee to confirm enrolment.
Ques. What is the duration of M.Sc (Data Analytics) at GM University?
Ans. The M.Sc (Data Analytics) at GM University is a two-year full-time programme spread over four semesters, including coursework, laboratory sessions, a dissertation project, and a final viva under the university’s curriculum framework.
Ques. What are the career options after M.Sc (Data Analytics) from GM University?
Ans. Graduates can pursue roles as data analysts, business intelligence analysts, analytics consultants, data engineers, reporting analysts, and market research analysts in the IT services, BFSI, e-commerce, retail analytics, healthcare analytics, and data consulting sectors. Demand for analytics professionals is strong across BFSI, e-commerce, and IT services. Graduates pursue roles in business intelligence, reporting, and data analysis, and may seek certifications in tools such as Power BI, Tableau, or Google Analytics to strengthen employability.
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