Dayananda Sagar University M.Sc Data Science: Fees 2026, Course Duration, Dates, Eligibility

Bangalore, KarnatakaPrivate UniversityEstd 2014NAAC Grade A+ 3.3
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Collegedunia Team

Content Curator | Updated on - Jun 12, 2026

The M.Sc. Data Science at Dayananda Sagar University (DSU), Bangalore is a 2 Years postgraduate programme offered through the School of Sciences. DSU is NAAC A+ accredited and UGC-recognised, located on a 162-acre campus on Kanakapura Road, Bangalore.

📋 Admission Status: M.Sc. Data Science admissions are through Karnataka PGCET 2026 or DSAT 2026 (DSU’s own aptitude test). Merit-based selection also applies for eligible candidates. Application details are published at dsu.edu.in.


Key Points

  • NAAC A+ accredited university. 162-acre campus on Kanakapura Road, Bangalore.
  • Duration: 2 Years. Total Fees: INR 3,04,000.
  • Curriculum covers machine learning, Python, R, SQL, big data platforms, and data visualisation.
  • Admission through Karnataka PGCET 2026 or DSAT 2026.
  • Graduates eligible for data science, analytics, and ML roles across technology and enterprise sectors.

DSU Bangalore M.Sc. Data Science Fees

ComponentAmount (INR)
Course Duration2 Years
Annual FeeINR 1,52,000 per year
Total Course FeesINR 3,04,000
  • Fee confirmed from multiple third-party sources for 2025-26.
  • Verify the current fee at dsu.edu.in before admission.

DSU Bangalore M.Sc. Data Science Admission 2026

Important Dates

EventDate
Karnataka PGCET 2026 RegistrationJuly 2026 (Tentative)
Karnataka PGCET 2026 ExamJuly 2026 (Tentative)
Karnataka PGCET 2026 ResultAugust 2026 (Tentative)
DSAT 2026Ongoing (Tentative)
DSU Admission / CounsellingAugust 2026 (Tentative)
Karnataka PGCET 2026 Registration EndJuly 2026 (Tentative)
Karnataka PGCET 2026 Exam DateJuly 2026 (Tentative)
Karnataka PGCET 2026 ResultAugust 2026 (Tentative)
DSAT 2026 Registration EndOngoing (Tentative)
DSAT 2026 Exam Date2026 (Tentative)
DSAT 2026 Result2026 (Tentative)
  • Admission is through Karnataka PGCET 2026 or DSAT 2026.
  • Eligibility: BCA or B.Sc. CS or IT, minimum 50% marks.
  • Confirm dates and process at dsu.edu.in.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • B.Sc. (Statistics / Mathematics / Computer Science / IT) or BCA or B.Tech / B.E. with minimum 50% aggregate.
  • Candidates appearing in the final year of the qualifying exam may apply provisionally.
  • Admission is subject to merit in Karnataka PGCET or DSAT and DSU counselling process.

Admission Process

  • Register for Karnataka PGCET 2026 at kea.kar.nic.in or appear for DSAT at dsu.edu.in.
  • Check PGCET / DSAT result and merit rank.
  • Apply to DSU online at dsu.edu.in during the admission window.
  • Participate in DSU counselling or direct admissions process.
  • Accept the offer letter and pay the first-year fee to confirm admission.
  • Report to DSU campus with original certificates on the designated joining date.

✓ Opt for this if

  • B.Sc or BCA graduates wanting structured PG in data science
  • Karnataka students using PGCET quota at DSU for affordable fee
  • Graduates aiming for analytics or ML roles in Bangalore tech sector
  • Students wanting 2-year PG without B.Tech engineering prerequisite

✗ Skip if

  • Students needing M.Tech AICTE credential for government engineering roles
  • Those targeting academia requiring research stipend or publication pathway
  • Graduates preferring MBA for data strategy and managerial career track

DSU Bangalore M.Sc. Data Science Scholarships 2026

ScholarshipAmountEligibility
NSP Post-Matric Scholarship (Central)As per NSP normsSC/ST/OBC/Minority students. Apply via scholarships.gov.in
Karnataka SC/ST Post-Matric ScholarshipFull/partial fee reimbursementKarnataka SC/ST students. Apply via karepass.cgg.gov.in
Karnataka OBC/Minority ScholarshipPartial supportKarnataka OBC/Minority students. Apply via state portal
DSU Merit ScholarshipPartial fee waiver based on meritStudents with high DSAT scores or board merit. Contact DSU admissions
DSU Management Discretionary ScholarshipNeed-based assistanceEconomically weaker section students. Contact DSU scholarship cell
  • Apply to government scholarships immediately after admission confirmation.
  • DSU Merit Scholarships are subject to university policy and annual review.
  • Contact DSU scholarship cell for internal award details.
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Table of Contents

DSU Bangalore M.Sc. Data Science FAQs

Ques. What is the fee for M.Sc. Data Science at DSU Bangalore?

Ans. The M.Sc. Data Science at DSU Bangalore has a total fee of INR 3,04,000 for the 2-year programme (INR 1,52,000 per year). Verify the current fee at dsu.edu.in or DSU admissions office before applying.

Ques. What is the eligibility for M.Sc. Data Science at DSU?

Ans. B.Sc. (Statistics / Mathematics / Computer Science / IT) or BCA or B.Tech / B.E. with minimum 50% aggregate is required for M.Sc. Data Science at DSU. Admission is through Karnataka PGCET 2026 or DSAT 2026. Candidates must confirm their eligibility at dsu.edu.in.

Ques. What entrance exam is required for M.Sc. Data Science at DSU?

Ans. M.Sc. Data Science at DSU Bangalore accepts scores from Karnataka PGCET 2026 or DSAT 2026. Karnataka PGCET is conducted by KEA (Karnataka Examinations Authority). DSAT is DSU’s own aptitude test conducted throughout the year.

Ques. What career opportunities are available after M.Sc. Data Science from DSU?

Ans. Graduates can work as data scientists, data analysts, machine learning engineers, business intelligence consultants, and analytics managers at technology firms, banks, consulting organisations, and data-driven enterprises. Professionals with this specialisation are in demand across technology, banking, consulting, and enterprise sectors. Industry certifications and practical project experience strengthen employment prospects further.

Ques. What does the M.Sc. Data Science curriculum cover at DSU?

Ans. DSU’s M.Sc. Data Science covers statistical learning, machine learning, deep learning, data wrangling, Python, R, SQL, big data platforms, data visualisation, and applied analytics. The programme blends theory with hands-on project work using real industry datasets, preparing students for analytics and data science roles in technology firms, banking, consulting, and data-driven enterprises. The programme is structured to prepare students for industry roles and higher studies. Practical labs and project assignments provide applied learning alongside theoretical coursework.

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