MSc IN DATA SCIENCE AND FINTECH
March 10, 2026 2026-04-01 14:11MSc IN DATA SCIENCE AND FINTECH
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.
Number of Seats : 20
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
Particulars | First Semester | Second Semester | Third Semester | Fourth Semester |
Tuition Fee (in Rs) | 60,000 | 50,000 | 50,000 | 50,000 |
Caution deposit (in Rs) | 5,000 | |||
TOTAL (in Rs) | 65,000 | 50,000 | 50,000 | 50,000 |
Fee Payment Schedule
Semester | Tuition Fee | Caution Deposit | Last date of remittance without fine (on or before) |
First Semester | 60,000 | 5,000 | Rs.12,000/- at the time of Admission and the balance fee within 30 days after the commencement of the 1st Semester Classes |
Second Semester | 50,000 | Within 15 days after the commencement of the 2nd Semester class | |
Third Semester | 50,000 | Within 15 days after the commencement of the 3rd Semester class | |
Fourth Semester | 50,000 | Within 15 days after the commencement of the 4th Semester class | |
TOTAL | 2,10,000 | 5,000 |
MERIT-CUM-MEANS SCHOLARSHIPS: Merit Cum Means (MCM) Scholarship (except that of Flexible and Executive Masters Programs) 20% of the BPL category students eligible for MCM Scholarship from the University. The value of the scholarship shall be equivalent to 50% of their Tuition Fee for all semesters. The eligibility shall be based on the annual income of the parent and the merits of the students.
EARN WHILE YOU LEARN: Opportunities for paid internships in real-life projects undertaken by the University will be available to a few top performing students from the 3rd semester onwards.
Foundations
Linear Algebra, Probability & Statistics, Stochastic Processes, Optimization Techniques
Data Science & AI
Data Engineering, Machine Learning, Deep Learning, MLOps, Data Analytics, NLP, IR, Reinforcement Learning
Computational Skills
Python Programming, Data Structures, Algorithms, Database Architecture, Big Data, Cloud Computing
Financial Systems
Financial Markets & Strategy, Financial Econometrics, Derivative Pricing, Portfolio Management
Fintech Application
Algorithmic Trading, Anomaly Detection & Fraud Analytics, Financial Technology Services & Management
Industry Readiness
Real-world Datasets, Capstone Projects, Industry Readiness, Internships
