BCA
Specialisation: Data Science
Bachelor of Computer Applications under the Work Integrated Learning Programme (WILP) model is built for working professionals and self-employed learners who need genuine flexibility without compromising on academic quality. Over 3 years and 120-130 credits, students work through a curriculum centred on Data Science, designed to keep pace with current industry expectations. Eligibility for this programme is 12th with Mathematics + Employment Letter, which makes it accessible to a wide base of applicants. Graduates typically move into roles such as Data Analyst or Junior Data Scientist, with opportunities across IT & Analytics and Banking & Finance. Combining academic rigour with schedule flexibility, the programme helps learners strengthen their qualifications while staying employed.
About the Programme
Bachelor of Computer Applications under the Work Integrated Learning Programme (WILP) model is built for working professionals and self-employed learners who need genuine flexibility without compromising on academic quality. Over 3 years and 120-130 credits, students work through a curriculum centred on Data Science, designed to keep pace with current industry expectations. Eligibility for this programme is 12th with Mathematics + Employment Letter, which makes it accessible to a wide base of applicants. Graduates typically move into roles such as Data Analyst or Junior Data Scientist, with opportunities across IT & Analytics and Banking & Finance. Combining academic rigour with schedule flexibility, the programme helps learners strengthen their qualifications while staying employed.
Curriculum Overview
The BCA curriculum is organised into progressive semesters, moving from foundation subjects to applied, specialization-focused papers. Core and elective areas include Statistics for Data Science, Python Programming, Data Mining, Big Data Analytics, Data Visualization, delivered via e-learning modules, structured study guides, case-based assignments and scheduled contact classes. Learners submit assignments and appear for term-end examinations that test both conceptual understanding and applied problem-solving. Undergraduate learners build up from foundational concepts before moving into applied, specialization-specific coursework.
Learning Outcomes
- On completing this BCA course, learners should be able to: use Data Science principles to solve practical, work-related problems
- show working knowledge of statistical analysis and Python and R programming
- apply data visualization and predictive modelling confidently
- and communicate outcomes clearly to colleagues or clients. These outcomes are pitched at building a strong entry-level skill base.
Eligibility Criteria
- Minimum qualification
- 12th with Mathematics + Employment Letter
- Degree Level
- Undergraduate
- Category
- Computer Applications
- Mode
- WILP
- Eligibility Verification
- Original or scanned academic documents are cross-checked against the stated eligibility criteria by the admissions team before the seat is confirmed; discrepancies must be resolved before enrolment is finalised.
Complete Fee Structure
| Application / Enrollment Fee | ₹1,000 |
| Registration Fee | ₹1,500 |
| Re-Registration Fee (per year) | ₹1,000 |
| Development Fee | ₹5,000 |
| University Fee | ₹22,000 |
| Course fees | ₹21,000 |
| Examination Fee (Semester / Year) | ₹2,000 |
| 1st Year Fee | ₹31,500 |
| 2nd Year Fee | ₹25,000 |
| 3rd Year Fee | ₹25,000 |
| Total Course Fee | ₹81,500 |
EMI Option: Yes — the total programme fee of Rs. 81,500 can typically be paid in year-wise/semester-wise instalments, and EMI options through partner finance providers may also be available; confirm current EMI terms with the admissions office.
Subjects & Curriculum
Assessment Method
Continuous assessment through assignments (typically 30% weightage) combined with term-end/semester-end written examinations (70% weightage); practical and project-based evaluation is included where the subject requires it.
Admission Process
- 1Fill the online application form and pay the application fee. 2. Upload scanned copies of academic and eligibility documents. 3. Complete document and eligibility verification. 4. Pay the 1st year/semester fee to confirm the seat. 5. Receive the enrolment number and login credentials for the learning portal.
Documents Required
- th and 12th mark sheets and certificates
- Graduation mark sheets and degree certificate (for PG programmes)
- Valid government photo ID proof (Aadhaar/PAN/Passport)
- Recent passport-size photographs
- Address proof
- Employment letter/experience certificate from current employer
- Category certificate, if applicable, for fee or reservation benefits
Career Opportunities
This qualification opens up career paths tied directly to Data Science, especially useful for learners already working and looking to move up. Typical career directions include Data Analyst, Junior Data Scientist, Business Intelligence Executive, Data Visualization Specialist, primarily within IT & Analytics, Banking & Finance, E-commerce, Consulting. At this undergraduate stage, BCA builds a solid, job-ready foundation for an early career start in the field.
Job Roles
Skills You'll Gain
Industry Scope
IT & Analytics, Banking & Finance, E-commerce, Consulting
Average Salary
Rs. 2.8 – 6.0 LPA (entry to early-career level, varies by specialization) — figures are indicative; actual pay depends on employer, location, prior experience and role.
Higher Education Options
- a relevant Master's degree or MBA
- a PG Diploma in a specialised domain
- professional certifications aligned with the chosen specialization