MSc IN DATA SCIENCE AND FINTECH
March 10, 2026 2026-03-12 11:03MSc IN DATA SCIENCE AND FINTECH

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 |
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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.10,000/- 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 |
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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.