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    Quick Facts

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    20

    Course Details

    MODE

    Full time

    DURATION

    24 Months

    MSc 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.


    Eligibility Criteria

    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.

    • Applicable CUET(PG) Test Codes: SCQP09, SCQP27, SCQP19, SCQP24, MTQP04

    Applications for Admissions are open.

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