Content Curator | Updated on - Mar 27, 2026

BE Lateral Data Science at Sai Vidya Institute of Technology (SVIT) Bangalore is a 3-year undergraduate engineering program designed for diploma holders seeking specialization in data science and analytics. This specialization focuses on data analysis, statistical modeling, big data technologies, data visualization, and business intelligence. With an annual intake of approximately 30-40 seats, the course is offered in full-time on-campus mode. The program is highly sought after due to the exponential growth in data-driven decision making across industries. The primary entrance exam for admission is DCET (Diploma Common Entrance Test), and graduates are well-positioned for roles in data analytics, business intelligence, and data engineering.

Admissions for BE Lateral Data Science are currently ongoing for the 2026 academic year. The DCET 2026 exam is scheduled for May 23, 2026, with application registration expected to commence from April 23, 2026. The application correction window will be available from May 25-27, 2026. DCET result is expected by early June 2026, followed by counselling and seat allotment in June-July 2026. Students should note that admission is merit-based, combining DCET scores with final-year diploma marks in equal weightage. This specialization is particularly competitive due to high industry demand for data professionals.

Key Points:

Comprehensive curriculum covering data analytics, machine learning, and big data technologies
Industry partnerships with leading data-driven companies for internships and placements
Access to advanced analytics tools including Python, R, Tableau, and Hadoop
Hands-on projects in data visualization and predictive modeling
Strong average packages due to high demand for data science professionals

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Sai Vidya Institute of Technology Bangalore Latest Updates and News

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25 May, 2026 KCET Result 2026 is expected to be announced by May 28, 2026, @cetonline.karnataka.gov.in. Read news!

SVIT BE Lateral Data Science Fees

The total fees for BE Lateral Data Science at SVIT Bangalore is Rs 3,00,000 for the entire 3-year program. The fee structure is uniform across all lateral entry engineering specializations at the institute. This breaks down to approximately Rs 1,00,000 per year, making it an affordable option for diploma holders pursuing engineering degrees in data science. The fees are refundable in nature and the college offers flexible payment schedules to accommodate students' financial situations.

Fee Structure

Fee Component	Year 1	Year 2	Year 3	Total
Tuition Fees	1,00,000	1,00,000	1,00,000	3,00,000
Total Fees	1,00,000	1,00,000	1,00,000	3,00,000

The college offers installment-based payment options for student convenience.
Additional charges for hostel accommodation (if opted) are separate and not included in the above fees.
No hidden charges are levied by the institute.

SVIT BE Lateral Data Science Admission 2026

BE Lateral Data Science admissions at SVIT Bangalore follow the Karnataka state-level DCET process managed by the Karnataka Examinations Authority (KEA). The admission process is merit-based, with seats allocated through counselling rounds.

Important Dates

Event	Date
DCET Application Registration Start	April 23, 2026
DCET Application Correction Window	May 25-27, 2026
DCET Exam Date	May 23, 2026
DCET Result	Early June 2026 (Tentative)
KEA Counselling	June-July 2026 (Tentative)
Seat Allotment	July 2026 (Tentative)
Reporting to College	July-August 2026 (Tentative)

The dates mentioned above are tentative and subject to change.

Eligibility Criteria:

Completed 3-year full-time diploma in engineering from a recognized polytechnic
Minimum 45% aggregate marks in final-year diploma (5th and 6th semesters combined) for general category; 40% for SC/ST and backward classes
Valid DCET score as per merit list

Admission Process:

Register on the KEA portal and fill DCET application form
Pay application fee and download admit card
Appear for DCET exam on May 23, 2026
Check DCET result and merit list
Participate in KEA counselling process
Select college and branch preferences
Receive seat allotment
Report to SVIT Bangalore with required documents and pay admission fees

Sai Vidya Institute of Technology Bangalore: Students' Opinion

AI-Generated Summary based on 5 Reviews

The faculty at SVIT Bengaluru are experienced with 7-8 years of teaching expertise, maintaining a favorable faculty-to-student ratio of approximately 1:15 to 1:30. This varies by department, with smaller class sizes in electives promoting engagement. The curriculum blends foundational knowledge with specialization, integrating theory and practical learning through labs and projects. Assessments comprise internal evaluations (30-40%) and end-semester exams (60-70%) with varied question formats. SVIT has a strong placement record, with about 300 companies recruiting annually and 95% of students securing jobs.

Top recruiters include TCS, Infosys, Wipro, and IBM. The highest salary package offered ranges from 15-18 lakhs per annum, with an average of 4-5 lakhs. Around 80-85% of eligible students are placed in reputable firms, primarily in IT and engineering sectors. Placement eligibility starts in the 7th semester, with preparation beginning in the 5th. The active placement cell organizes skill development and interview readiness programs. Industry ties are robust, with MOUs like the one with L2M offering internships with stipends of 10-20 thousand per month.

The annual tuition fee ranges from INR 1,20,000 to 2,00,000, depending on entry mode, with total education costs, including hostels, being INR 10 to 12 lakhs. Scholarships are available from government programs like the Karnataka State Scholarship and National Scholarships, as well as from organizations like Reliance and KMDC. Students can apply for education loans to alleviate financial burdens. Those interested in scholarships should apply through official government portals.

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SVIT BE Lateral Data Science Scholarships 2026

SVIT Bangalore offers various scholarship opportunities for deserving students pursuing BE Lateral Data Science. Government of Karnataka scholarships are available for eligible SC/ST students and economically weaker sections. Merit-based scholarships are also provided for students maintaining excellent academic performance.

Scholarship Details

Scholarship Type	Amount	Eligibility
Post-Metric Scholarship (SC/ST)	As per government norms	SC/ST students with required marks
Fee Reimbursement (SC/ST)	As per government norms	SC/ST students meeting criteria
Merit Scholarship	Up to Rs 5,000 per semester	Students with 80%+ marks in previous semester
Category-based Fee Concession	As per government guidelines	Category I, II, III students
National Scholarship Portal (NSP)	Varies	Eligible minority religion students

Scholarship applications are typically processed during August-September each academic year.
Students must submit applications through the college's Admission and Scholarship Section.
Eligibility and amounts are subject to government notification updates.
Students are encouraged to apply for multiple scholarships to maximize financial support.

SVIT BE Lateral Data Science Placement 2026

SVIT Bangalore has an excellent placement record for BE Lateral Data Science graduates. The institute maintains strong industry connections with leading data-driven companies including TCS, Infosys, Wipro, Amazon, Microsoft, and various analytics firms. Placement eligibility typically begins from the 4th semester onwards. The college conducts specialized pre-placement training covering data analysis tools, statistical methods, and business analytics.

Placement Statistics

Placement Metric	Details
Placement Rate	Approximately 88-92% of eligible students
Average Package	5-8 LPA
Highest Package	14+ LPA
Top Recruiters	TCS, Infosys, Wipro, Amazon, Microsoft, Accenture, Analytics Firms
Internship Opportunities	Available with stipends ranging from Rs 12,000-25,000 per month

The placement cell actively engages with data-driven companies to facilitate internships and full-time recruitment drives. Students also have opportunities for higher studies through GATE or direct admission to M.Tech programs in Data Science specializations.

SVIT BE Lateral Data Science FAQs

Ques. What is the difference between Data Science and Computer Science specializations?

Ans. Data Science specialization focuses on data analysis, statistical modeling, and business intelligence, while Computer Science covers broader software development. Data Science graduates are specialized for analytics and data engineering roles with strong industry demand.

Ques. What tools and technologies are taught in this program?

Ans. The curriculum covers Python, R, SQL, Tableau, Power BI, Hadoop, Spark, and various statistical analysis tools. Students gain hands-on experience with real-world datasets and industry-standard analytics platforms.

Ques. Are there internship opportunities in data science companies?

Ans. Yes, internships are available from the 4th semester onwards with leading data analytics and IT companies. Stipends typically range from Rs 12,000-25,000 per month, with many internships converting to full-time offers.

Ques. What career options are available after this program?

Ans. Graduates can work as Data Analysts, Data Scientists, Business Analysts, Data Engineers, and Analytics Consultants. Opportunities exist in IT companies, financial institutions, e-commerce, healthcare, and consulting firms.

Ques. Is this program suitable for non-CSE diploma holders?

Ans. Yes, the program is open to diploma holders from any engineering discipline who meet the eligibility criteria. The curriculum is designed to provide comprehensive data science training regardless of the diploma background.

Ques. What are the salary prospects for Data Science graduates?

Ans. Average packages range from 5-8 LPA, with top performers securing 12-14+ LPA. The specialization offers strong salary growth potential as companies increasingly invest in data-driven decision making.

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Sai Vidya Institute of Technology Bangalore BE Data Science: Fees 2026, Course Duration, Dates, Eligibility

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