B.E. in Artificial Intelligence and Machine Learning 2026: Fees, Admission, Eligibility, Colleges & Placements


Updated on 10 Jun, 2026 by KollegeApply

B.E. in Artificial Intelligence and Machine Learning

Table of Contents
  1. B.E. in Artificial Intelligence and Machine Learning Highlights 2026
  2. Quick Facts
  3. About B.E. in Artificial Intelligence and Machine Learning
  4. Programme Snapshot
  5. Eligibility Snapshot
  6. B.E. in Artificial Intelligence and Machine Learning Admission Process 2026
  7. Entrance Exams Accepted for B.E. in Artificial Intelligence and Machine Learning
  8. B.E. in Artificial Intelligence and Machine Learning Fees 2026
  9. Top Colleges Offering B.E. in Artificial Intelligence and Machine Learning

B.E. in 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.E. in Artificial Intelligence and Machine Learning.

Particular Details
Course NameB.E. in Artificial Intelligence and Machine Learning
Course LevelUG
Duration4 Years
Popular Entrance Exams JEE Main , MAH MBA CET , KCET , CUCET , TNEA
Average Course Fees ₹8.05 L
Average Starting Salary ₹9.69 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
SpecializationArtificial Intelligence & Machine Learning
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 ₹1.09 L to ₹31.65 L depending on the institution.
  • The programme continues to attract strong demand across the Engineering stream and related sectors.

About B.E. in Artificial Intelligence and Machine Learning

B.E. in Artificial Intelligence and Machine Learning 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 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
Duration4 Years
Course ModeFull Time

Eligibility Snapshot

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

B.E. in Artificial Intelligence and Machine Learning 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 Artificial Intelligence and Machine Learning

Examination Accepted By
JEE Main RVCE Bangalore, ASM'S NextGen
MAH MBA CET ASM'S NextGen
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 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 ₹1.20 L – ₹14.00 L
Private Universities ₹1.09 L – ₹31.65 L

Fee Analysis

Particular Value
Lowest Reported Fee ₹1.09 L
Highest Reported Fee ₹31.65 L
Average Fee ₹8.05 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 Artificial Intelligence and Machine Learning

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

College Total Fees Average Package
RVCE Bangalore ₹12.65 L – ₹31.65 L ₹10.50 L
Bangalore University ₹1.20 L ₹6.50 L
MSRIT ₹10.46 L ₹8.00 L
CSVTU Bhilai ₹3.50 L
DSCE Bangalore ₹6.50 L – ₹10.46 L ₹5.50 L
Lok Jagruti University ₹2.92 L ₹2.78 L
CBIT ₹5.60 L ₹6.30 L
BIT Bangalore ₹10.46 L
BMSITM ₹28.16 L
SSIPMT ₹3.50 L
Osmania University ₹3.12 L – ₹5.60 L ₹7.50 L
NHCE Bangalore ₹14.00 L
BNMIT ₹26.00 L
Sir M. Visvesvaraya Institute of Technology ₹20.00 L
Dr Ambedkar Institute of Technology ₹4.30 L

College Comparison Snapshot

Particular Value
Total Colleges Offering Programme58
Government Colleges8
Private Colleges50
Highest Average Package ₹10.50 L

Frequently Asked Questions

What is B.E. in Artificial Intelligence and Machine Learning?

B.E. in Artificial Intelligence and Machine Learning 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 Artificial Intelligence and Machine Learning?

Eligibility for B.E. in 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.E. in Artificial Intelligence and Machine Learning?

Admission to B.E. in Artificial Intelligence and Machine Learning 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 Artificial Intelligence and Machine Learning 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 Artificial Intelligence and Machine Learning?

Average fees for B.E. in Artificial Intelligence and Machine Learning are around ₹8.05 L, with reported fees ranging from ₹1.09 L to ₹31.65 L depending on institution type and location.

Which colleges are best for B.E. in Artificial Intelligence and Machine Learning?

Leading colleges for B.E. in Artificial Intelligence and Machine Learning include RVCE Bangalore, Bangalore University, MSRIT, CSVTU Bhilai, DSCE Bangalore. Rankings, cutoffs and fees differ by entrance exam, category and admission round.

What are the placement opportunities after B.E. in Artificial Intelligence and Machine Learning?

Graduates of B.E. in Artificial Intelligence and Machine Learning 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 Artificial Intelligence and Machine Learning?

The average starting salary after B.E. in Artificial Intelligence and Machine Learning is around ₹9.69 L. Packages vary by college, specialization, skills and employer.

What are the career opportunities after B.E. in Artificial Intelligence and Machine Learning?

Graduates of B.E. in Artificial Intelligence and Machine Learning can pursue roles across the Engineering sector, public-sector organisations and private companies.

Which specialization offers the best career growth?

Among available options, Artificial Intelligence & Machine Learning is a notable specialization for B.E. in Artificial Intelligence and Machine Learning. The best choice depends on career goals, industry demand and personal aptitude.

Is B.E. in Artificial Intelligence and Machine Learning worth pursuing?

B.E. in Artificial Intelligence and Machine Learning can be worth pursuing when fees (around ₹8.05 L), placement outcomes (average salary around ₹9.69 L) and career goals align. Compare colleges, ROI and specialization fit before deciding.

Key Takeaways

Particular Details
Duration4 Years
Average Fees ₹8.05 L
Average Salary ₹9.69 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 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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