The Bachelor of Science [B.Sc.] + Master of Science [M.Sc.] (Data Science) is a comprehensive 5-year integrated full-time program offered by Gujarat University's Department of Data Science. This course combines undergraduate and postgraduate education in data science, equipping students with advanced knowledge in statistics, machine learning, data analytics, and programming. The program spans 5 years with a total intake of 60 seats and total fees of Rs 3,76,000. The course is offered in full-time on-campus mode, requiring regular attendance and participation. Data Science has emerged as one of the most sought-after fields globally due to the exponential growth in data-driven decision-making across industries, making this integrated program highly popular among students seeking comprehensive training in this domain.
Admissions for the 2026-27 academic session are expected to commence in July 2026. Based on previous year patterns, applications typically open in early July with a deadline in late July or early August 2026. Candidates should monitor the official Gujarat University website (www.gujaratuniversity.ac.in) and the admission portal for exact dates. The admission process is merit-based and conducted online through the university's centralized admission portal. Interested candidates are advised to register early as seats are limited to 60 students.
KEY POINTS
- Comprehensive curriculum covering both B.Sc and M.Sc levels in a single integrated program
- Hands-on training in Python, R, SQL, and advanced data analytics tools
- Internship opportunities available from the 5th semester onwards
- Strong industry connections with leading IT and analytics companies
- Focus on practical projects and real-world problem-solving
Gujarat University B.Sc + M.Sc Data Science Fees
The B.Sc + M.Sc Data Science program at Gujarat University is an affordable option for students pursuing higher education in data science. The total fees for the entire 5-year program is Rs 3,76,000, with an annual fee of approximately Rs 75,200 per year. This makes it one of the most cost-effective integrated data science programs in India. The fees cover tuition charges and are structured to be paid annually.
Fee Structure
| Fee Component | Amount (Rs) |
|---|
| Annual Tuition Fee (Year 1-5) | 75,200 |
| Total Fees (5 Years) | 3,76,000 |
- Fees are refundable as per university norms.
- Scholarships of approximately Rs 20,000 are available for OBC/SEBC students.
- SC/ST students are eligible for a Feeship card that covers their entire annual fees.
- Payment can be made annually through the university's online portal.
Gujarat University B.Sc + M.Sc Data Science Admission 2026
Important Dates
| Event | Tentative Date |
|---|
| Application Portal Opens | Early July 2026 |
| Application Deadline | Late July/Early August 2026 |
| Merit List Release | Mid-August 2026 |
| Counselling/Allotment | Late August 2026 |
| Batch Commencement | September 2026 |
The dates mentioned above are tentative and subject to change.
Eligibility Criteria:
- Candidates must have passed 10+2 (12th standard) from a recognized board with Science stream
- Minimum aggregate marks as per university norms (typically 45-50% for general category)
- No age limit restriction for admission
Admission Process:
- Register on the official Gujarat University admission portal
- Fill the application form with required details and upload necessary documents
- Pay the application fee (typically Rs 300-500) through online mode
- Wait for merit list announcement based on 10+2 marks
- Participate in online counselling and seat allotment process
- Complete document verification and fee payment to confirm admission
Gujarat University B.Sc + M.Sc Data Science Scholarships 2026
Gujarat University offers multiple scholarship schemes to support deserving students. More than 30 scholarship schemes initiated by the Government of Gujarat are available to students at the university. For the B.Sc + M.Sc Data Science program, the following scholarships are applicable:
Scholarship Schemes
| Scholarship Name | Eligibility | Amount | Application Deadline |
|---|
| OBC/SEBC Merit Scholarship | OBC/SEBC students with merit | Rs 20,000 per annum | As per university notification |
| SC/ST Feeship Card | SC/ST students | Full annual fees coverage | As per university notification |
| Mukhymantri Yuva Swavlamban Yojana | Eligible students from Gujarat | Variable | As per state government norms |
| SHODH Scheme | Full-time research scholars | Rs 15,000 per month + Rs 20,000 contingency | As per university notification |
- SC/ST students are provided with a Feeship card that covers their entire annual fees.
- OBC/SEBC students receive merit-based scholarships of approximately Rs 20,000 per annum.
- Students must apply through the Digital Gujarat portal or the university's scholarship portal.
- Eligibility criteria include income limits and academic performance requirements.
- More than 30 government-initiated scholarship schemes are available; students should check the university's scholarship page for complete details and application procedures.
Gujarat University B.Sc + M.Sc Data Science Placement 2026
Gujarat University has a strong track record in placements for its science and technology programs. According to recent data, over 90% of students from the university's science programs secure placements through campus recruitment. The median package offered to postgraduate students across the university is Rs 8.10 LPA. For the Data Science program specifically, students have been placed in leading IT companies, analytics firms, and tech startups. Internship opportunities are available from the 5th semester, providing practical industry experience. The university maintains strong connections with major recruiters including TCS, Infosys, Wipro, and various analytics companies.
Placement Statistics
| Placement Metric | Details |
|---|
| Placement Rate | Over 90% |
| Median Package (PG Programs) | Rs 8.10 LPA |
| Average Package | Rs 4-5 LPA |
| Top Recruiters | TCS, Infosys, Wipro, Analytics Companies |
| Internship Availability | From 5th Semester |
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