B.E. in Computer Science and Engineering (Data Science) 2026: Fees, Admission, Eligibility, Colleges & Placements


Updated on 10 Jun, 2026 by KollegeApply

B.E. in Computer Science and Engineering (Data Science)

Table of Contents
  1. B.E. in Computer Science and Engineering (Data Science) Highlights 2026
  2. Quick Facts
  3. About B.E. in Computer Science and Engineering (Data Science)
  4. Programme Snapshot
  5. Eligibility Snapshot
  6. B.E. in Computer Science and Engineering (Data Science) Admission Process 2026
  7. Entrance Exams Accepted for B.E. in Computer Science and Engineering (Data Science)
  8. B.E. in Computer Science and Engineering (Data Science) Fees 2026
  9. Top Colleges Offering B.E. in Computer Science and Engineering (Data Science)

B.E. in Computer Science and Engineering (Data Science) Highlights 2026

Choosing the right course involves evaluating factors such as admission opportunities, programme fees, placement outcomes, career growth and long-term industry demand. The table below provides a quick overview of the key details related to B.E. in Computer Science and Engineering (Data Science).

Particular Details
Course NameB.E. in Computer Science and Engineering (Data Science)
Course LevelUG
Duration4 Years
Popular Entrance Exams JEE Main , MAH MBA CET , KCET , CUCET , TNEA
Average Course Fees ₹9.74 L
Average Starting Salary ₹8.86 L
Highest Reported Package ₹16.86 L
Top RecruitersArcesium, AVEVA, Baxter International, Boeing India, Dell Technologies, Deutsche Bank, Dover Corporation, Fidelity Investments, GE HealthCare, Hewlett Packard Enterprise, JPMorgan Chase & Co., Microsoft
StreamEngineering
ProgrammeBachelor of Engineering
SpecializationComputer Science Engineering
Mode of StudyFull Time

Quick Facts

  • The programme is generally completed within 4 Years.
  • Admissions are conducted through JEE Main , MAH MBA CET , KCET , CUCET , TNEA and institute-level selection processes.
  • Average course fees range from ₹1.00 L to ₹27.02 L depending on the institution.
  • The programme continues to attract strong demand across the Engineering stream and related sectors.

About B.E. in Computer Science and Engineering (Data Science)

B.E. in Computer Science and Engineering (Data Science) is designed for students interested in developing expertise in the Engineering stream. The programme combines classroom learning, practical training, project-based work, internships and industry exposure to prepare students for employment and higher education opportunities.

Demand for professionals with skills related to the Engineering stream has increased significantly across leading industries and employers. As a result, B.E. in Computer Science and Engineering (Data Science) remains one of the preferred choices among students evaluating career-oriented programmes.

Programme Snapshot

Particular Details
Programme LevelUG
Course TypeDegree
Duration4 Years
Course ModeFull Time

Eligibility Snapshot

Admission requirements may vary across institutions. Candidates should verify specific eligibility conditions before applying.

B.E. in Computer Science and Engineering (Data Science) Admission Process 2026

JEE Main

Admission Timeline

Event Tentative Timeline
Exam Date 02 Apr 2026 – 08 Apr 2026

MAH MBA CET

Admission Timeline

Event Tentative Timeline
Exam Date 09 May 2026

KCET

Admission Timeline

Event Tentative Timeline
Exam Date 23 Apr 2026 – 24 Apr 2026

CUCET

Admission Timeline

Event Tentative Timeline
Exam Date 25 Oct 2026 – 01 May 2026

TNEA

Admission Timeline

Event Tentative Timeline
Exam Date

Admission Process

  • Complete the required qualification.
  • Register for the relevant entrance examination or institute application.
  • Appear for the examination or selection process.
  • Participate in counselling or admission rounds.
  • Select preferred institutions.
  • Complete document verification.
  • Confirm admission through fee payment.

Entrance Exams Accepted for B.E. in Computer Science and Engineering (Data Science)

Examination Accepted By
JEE Main RVCE Bangalore
KCET DSCE Bangalore

Exam Insights

Entrance exam requirements vary across institutions. Some colleges provide admission through merit-based processes, while others require entrance examination scores.

B.E. in Computer Science and Engineering (Data Science) Fees 2026

Course fees vary based on institution type, facilities, infrastructure, faculty strength and placement performance.

Fee Comparison by Institution Type

Institution Type Fee Range
Government Institutions ₹3.45 L – ₹27.02 L
Private Universities ₹1.00 L – ₹27.02 L

Fee Analysis

Particular Value
Lowest Reported Fee ₹1.00 L
Highest Reported Fee ₹27.02 L
Average Fee ₹9.74 L

What the Data Shows

  • Government institutions remain comparatively affordable.
  • Private institutions generally report higher programme fees.
  • Fee comparisons should be evaluated alongside placement outcomes and return on investment.

Top Colleges Offering B.E. in Computer Science and Engineering (Data Science)

Students frequently compare colleges based on fees, rankings, placements and admission competition.

College Total Fees Average Package
RVCE Bangalore ₹12.65 L – ₹24.65 L ₹10.50 L
DSCE Bangalore ₹6.50 L – ₹10.46 L ₹5.50 L
Sathyabama University ₹3.05 L ₹5.57 L
BIT Bangalore ₹10.46 L
VGEC
Osmania University ₹3.72 L – ₹4.00 L ₹4.18 L
Matrusri Engineering College ₹4.00 L ₹4.18 L
RNS Institute of Technology Bangalore ₹24.00 L – ₹27.02 L ₹5.51 L
East Point Group of Institutions ₹14.27 L ₹8.00 L
Rabindranath Tagore University ₹1.00 L – ₹1.80 L ₹5.20 L
Sir M. Visvesvaraya Institute of Technology ₹20.00 L
CMRIT Bangalore ₹3.86 L
Atria Institute of Technology ₹10.25 L
AIT ₹10.46 L
SJBIT ₹10.46 L

College Comparison Snapshot

Particular Value
Total Colleges Offering Programme42
Government Colleges7
Private Colleges35
Highest Average Package ₹10.50 L

Frequently Asked Questions

What is B.E. in Computer Science and Engineering (Data Science)?

B.E. in Computer Science and Engineering (Data Science) is a UG programme in the Engineering stream, typically completed over 4 Years. It combines classroom learning, practical training and industry exposure to prepare students for employment and higher education.

What is the eligibility criteria for B.E. in Computer Science and Engineering (Data Science)?

Eligibility for B.E. in Computer Science and Engineering (Data Science) depends on the qualifying examination, academic background and institute-specific requirements. Candidates should verify criteria on official college admission pages before applying.

What is the admission process for B.E. in Computer Science and Engineering (Data Science)?

Admission to B.E. in Computer Science and Engineering (Data Science) is usually conducted through JEE Main, MAH MBA CET, KCET, CUCET, TNEA, along with merit-based or institute-level selection where applicable. The process generally includes registration, entrance exam or merit screening, counselling or shortlisting, document verification and fee payment.

Which entrance exams are accepted?

Colleges offering B.E. in Computer Science and Engineering (Data Science) commonly accept JEE Main, MAH MBA CET, KCET, CUCET, TNEA. Some institutions also provide admission through merit-based or direct institute-level processes.

What are the average fees for B.E. in Computer Science and Engineering (Data Science)?

Average fees for B.E. in Computer Science and Engineering (Data Science) are around ₹9.74 L, with reported fees ranging from ₹1.00 L to ₹27.02 L depending on institution type and location.

Which colleges are best for B.E. in Computer Science and Engineering (Data Science)?

Leading colleges for B.E. in Computer Science and Engineering (Data Science) include RVCE Bangalore, DSCE Bangalore, Sathyabama University, BIT Bangalore, VGEC. Rankings, cutoffs and fees differ by entrance exam, category and admission round.

What are the placement opportunities after B.E. in Computer Science and Engineering (Data Science)?

Graduates of B.E. in Computer Science and Engineering (Data Science) are recruited by employers such as Arcesium, AVEVA, Baxter International, Boeing India, Dell Technologies, Deutsche Bank, Dover Corporation, Fidelity Investments, GE HealthCare, Hewlett Packard Enterprise, JPMorgan Chase & Co., Microsoft. Placement outcomes depend on college reputation, internships, skills and specialization.

What is the average salary after B.E. in Computer Science and Engineering (Data Science)?

The average starting salary after B.E. in Computer Science and Engineering (Data Science) is around ₹8.86 L. Packages vary by college, specialization, skills and employer.

What are the career opportunities after B.E. in Computer Science and Engineering (Data Science)?

Graduates of B.E. in Computer Science and Engineering (Data Science) can pursue roles across the Engineering sector, public-sector organisations and private companies.

Which specialization offers the best career growth?

Among available options, Computer Science Engineering is a notable specialization for B.E. in Computer Science and Engineering (Data Science). The best choice depends on career goals, industry demand and personal aptitude.

Is B.E. in Computer Science and Engineering (Data Science) worth pursuing?

B.E. in Computer Science and Engineering (Data Science) can be worth pursuing when fees (around ₹9.74 L), placement outcomes (average salary around ₹8.86 L) and career goals align. Compare colleges, ROI and specialization fit before deciding.

Key Takeaways

Particular Details
Duration4 Years
Average Fees ₹9.74 L
Average Salary ₹8.86 L
Top RecruitersArcesium, AVEVA, Baxter International, Boeing India, Dell Technologies, Deutsche Bank, Dover Corporation, Fidelity Investments, GE HealthCare, Hewlett Packard Enterprise, JPMorgan Chase & Co., Microsoft
Industry DemandDemand remains strong in the Engineering stream and related sectors, with hiring across established companies and emerging employers.

Final Summary

B.E. in Computer Science and Engineering (Data Science) remains a popular academic programme due to its combination of career opportunities, industry relevance and long-term growth potential. Candidates should compare colleges, fees, placements, curriculum, specializations and return on investment before making an admission decision. Evaluating these factors together provides a clearer picture of career outcomes than considering fees or rankings alone.

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