B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) 2026: Fees, Admission, Eligibility, Colleges & Placements


Updated on 10 Jun, 2026 by KollegeApply

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)

Table of Contents
  1. B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) Highlights 2026
  2. Quick Facts
  3. About B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)
  4. Programme Snapshot
  5. Eligibility Snapshot
  6. B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) Admission Process 2026
  7. B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) Fees 2026
  8. Top Colleges Offering B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) 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.Sc. in Computer Science (Artificial Intelligence and Machine Learning).

Particular Details
Course NameB.Sc. in Computer Science (Artificial Intelligence and Machine Learning)
Course LevelUG
Duration3 Years
Popular Entrance Exams JEE Main , GATE , JEE Advanced , BITSAT , WBJEE
Average Course Fees ₹2.59 L
Average Starting Salary ₹5.50 L
Highest Reported Package ₹7.00 L
Top RecruitersAIRBUS GERMANY, Adani Group, Asian Paints, Baker Hughes, Cummins India Ltd, Deloitte, Dr Reddys LaboratoriesLtd, Ericsson India, Fedex Express, Flipkart, General Motors, Godrej and Boyce
StreamScience
ProgrammeB.Sc.
SpecializationBanking
Mode of StudyFull Time

Quick Facts

  • The programme is generally completed within 3 Years.
  • Admissions are conducted through JEE Main , GATE , JEE Advanced , BITSAT , WBJEE and institute-level selection processes.
  • Average course fees range from ₹66.2 K to ₹12.47 L depending on the institution.
  • The programme continues to attract strong demand across the Science stream and related sectors.

About B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) is designed for students interested in developing expertise in the Science 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 Science stream has increased significantly across leading industries and employers. As a result, B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) remains one of the preferred choices among students evaluating career-oriented programmes.

Programme Snapshot

Particular Details
Programme LevelUG
Course TypeDegree
Duration3 Years
Course ModeFull Time

Eligibility Snapshot

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

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) Admission Process 2026

JEE Main

Admission Timeline

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

GATE

Admission Timeline

Event Tentative Timeline
Exam Date 07 Feb 2026 – 15 Feb 2026

JEE Advanced

Admission Timeline

Event Tentative Timeline
Exam Date 17 May 2026

BITSAT

Admission Timeline

Event Tentative Timeline
Exam Date 25 May 2026 – 27 May 2026

WBJEE

Admission Timeline

Event Tentative Timeline
Exam Date 24 May 2026

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.

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) 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 ₹2.50 L – ₹3.67 L
Private Universities ₹66.2 K – ₹12.47 L

Fee Analysis

Particular Value
Lowest Reported Fee ₹66.2 K
Highest Reported Fee ₹12.47 L
Average Fee ₹2.59 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.Sc. in Computer Science (Artificial Intelligence and Machine Learning)

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

College Total Fees Average Package
Bangalore University ₹2.50 L
UPES Dehradun ₹12.47 L
Sharda University ₹1.56 L – ₹1.67 L ₹4.00 L
HSNC ₹2.50 L
Bengaluru North University ₹3.00 L
Nagindas Khandwala College
Mumbai University ₹2.50 L
VELS University Chennai ₹3.15 L
Bharath University ₹2.40 L
Periyar University
KK Modi University ₹66.2 K
DES Pune University ₹3.67 L
Bangalore School of Design ₹3.00 L
SRMIST ₹1.50 L ₹32.0 K

College Comparison Snapshot

Particular Value
Total Colleges Offering Programme14
Government Colleges6
Private Colleges8
Highest Average Package ₹4.00 L

Frequently Asked Questions

What is B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) is a UG programme in the Science stream, typically completed over 3 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.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

Eligibility for B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) 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.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

Admission to B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) is usually conducted through JEE Main, GATE, JEE Advanced, BITSAT, WBJEE, 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.Sc. in Computer Science (Artificial Intelligence and Machine Learning) commonly accept JEE Main, GATE, JEE Advanced, BITSAT, WBJEE. Some institutions also provide admission through merit-based or direct institute-level processes.

What are the average fees for B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

Average fees for B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) are around ₹2.59 L, with reported fees ranging from ₹66.2 K to ₹12.47 L depending on institution type and location.

Which colleges are best for B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

Leading colleges for B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) include Bangalore University, UPES Dehradun, Sharda University, HSNC, Bengaluru North University. Rankings, cutoffs and fees differ by entrance exam, category and admission round.

What are the placement opportunities after B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

Graduates of B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) are recruited by employers such as AIRBUS GERMANY, Adani Group, Asian Paints, Baker Hughes, Cummins India Ltd, Deloitte, Dr Reddys LaboratoriesLtd, Ericsson India, Fedex Express, Flipkart, General Motors, Godrej and Boyce. Placement outcomes depend on college reputation, internships, skills and specialization.

What is the average salary after B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

The average starting salary after B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) is around ₹5.50 L. Packages vary by college, specialization, skills and employer.

What are the career opportunities after B.Sc. in Computer Science (Artificial Intelligence and Machine Learning)?

Graduates of B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) can pursue roles across the Science sector, public-sector organisations and private companies.

Which specialization offers the best career growth?

Among available options, Banking is a notable specialization for B.Sc. in Computer Science (Artificial Intelligence and Machine Learning). The best choice depends on career goals, industry demand and personal aptitude.

Is B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) worth pursuing?

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) can be worth pursuing when fees (around ₹2.59 L), placement outcomes (average salary around ₹5.50 L) and career goals align. Compare colleges, ROI and specialization fit before deciding.

Key Takeaways

Particular Details
Duration3 Years
Average Fees ₹2.59 L
Average Salary ₹5.50 L
Top RecruitersAIRBUS GERMANY, Adani Group, Asian Paints, Baker Hughes, Cummins India Ltd, Deloitte, Dr Reddys LaboratoriesLtd, Ericsson India, Fedex Express, Flipkart, General Motors, Godrej and Boyce
Industry DemandDemand remains strong in the Science stream and related sectors, with hiring across established companies and emerging employers.

Final Summary

B.Sc. in Computer Science (Artificial Intelligence and Machine Learning) 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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