GMRIT Deemed to be University Admissions 2026
Apply100+ Recruiters | 1200+ Placements of 2026 Batch | NBA & NAAC A Accredited | Highest CTC 37 LPA
Seats 20 |
MODE
Full timeDURATION
24 MonthsMSc in Data Science and FinTech is designed for the next generation of innovators who aspire to shape the future of finance through data, analytics, and intelligent technologies. This interdisciplinary program brings together advanced data science techniques, such as machine learning, predictive analytics, and big data engineering, with core financial concepts including financial markets, risk management, derivative pricing, and algorithmic trading. Through hands-on projects, real-world datasets, and an industry-oriented curriculum, students learn to build intelligent models, uncover insights from complex financial data, and design technology-driven solutions for modern financial systems. Graduates of the program are prepared to lead in emerging roles such as data scientists, quantitative analysts, FinTech product innovators, and risk analysts, contributing to the transformation of banking, financial services, and the global digital economy.
Candidates must possess either a 3-year or a 4-year Bachelor’s degree in Science/Engineering/Mathematics, with Mathematics/Statistics as one of the subjects, and a minimum aggregate of 60% marks (or equivalent). Relaxation in marks will be provided for reserved categories as per University norms.
Admission is based on the entrance examination and/or interview. Prospective candidates aspiring to join this program are required to take part in either the CUET(PG)-2026 or Digital University Admission Test (DUAT)-2026 examination (Test Code: DUAT 02). The school will decide the cut-off mark for admission.
100+ Recruiters | 1200+ Placements of 2026 Batch | NBA & NAAC A Accredited | Highest CTC 37 LPA
Among top 100 Universities Globally in the Times Higher Education (THE) Interdisciplinary Science Rankings 2026
NAAC A+ Accredited | Among top 2% Universities Globally (QS World University Rankings 2026)
Highest CTC 10 LPA | Top Recruiters: Accenture, TCS, Tech Mahindra, Capgemini, Microsoft
Highest CTC - 21.39 LPA | Average CTC (Data Science) - 9.29 LPA | Average CTC (Agriculture Analytics) - 6.51 LPA | Average CTC (IT) - 6.13 LPA
Highest CTC 30 LPA | #9 in Management Category by Times B-School | Merit-Based Scholarship Upto - 50 Crores