VTU Belagavi BCA Data Science (Online) FAQs
Ques. What is the total fee for BCA Data Science at VTU?
Ans. The total fee for BCA Data Science (Online) at VTU is INR 77,250 for the three-year programme (INR 25,750 per year; 2024-25 norms). EMI options are available. Verify the latest fee schedule at onlinedegree.vtu.ac.in before enrolling.
Ques. Is BCA Data Science from VTU valid and recognised?
Ans. Yes. The BCA Data Science from VTU Online is recognised by UGC-DEB and carries the same academic standing as a regular on-campus degree. VTU is a NAAC A++ accredited Karnataka state government university established in 1998. The degree is accepted by employers and is valid for postgraduate admissions.
Ques. What is the eligibility for BCA Data Science (Online) at VTU?
Ans. Candidates must have passed 10+2 in any stream (Science, Commerce, or Arts) from a recognised board. No minimum percentage cutoff is specified and no entrance exam is required. Both fresh graduates and working professionals are eligible to apply.
Ques. Can I pursue BCA Data Science while working full-time?
Ans. Yes. The BCA Data Science (Online) is fully online with no mandatory campus visits or fixed class hours. All lectures are recorded and accessible on demand through the VTU Online portal. Assessments are submitted online, making the programme compatible with full-time employment.
Ques. What career options are available after BCA Data Science from VTU?
Ans. Graduates of BCA Data Science from VTU can work as data analyst, junior data scientist, business intelligence analyst, SQL developer, and data operations associate. Data roles are in strong demand across banking, e-commerce, healthcare IT, and software services. The degree also qualifies graduates for postgraduate programmes such as MCA or M.Sc. Data Science.
Ques. What subjects are covered in BCA Data Science at VTU?
Ans. The BCA Data Science curriculum covers Python programming, data analysis, machine learning fundamentals, statistics for data science, database management, data visualisation, and cloud computing basics. Practical lab components, data projects, and case studies are integrated across all six semesters. Later semesters include electives in advanced machine learning and data engineering.


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