BCA in Artificial Intelligence and Machine Learning
- A+ NAAC accredited
- Private University
- Estd. 2012
BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Overview
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
REVA University Bangalore offers a 3 years BCA in Artificial Intelligence and Machine Learning course at the UG level. REVA University Bangalore BCA in Artificial Intelligence and Machine Learning admission is based on entry requirements - 45.0% in 12th. Check other courses of REVA University Bangalore BCA.
Duration | 3 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Type of University | Private |
BCA in Artificial Intelligence and Machine Learning
Table of contents
BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Frequently Asked Questions
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Highlights
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
- The course is also offered with BCA (Honours/ Honours with Research) in AI & ML with 4 years of duration.
BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Students also asked
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
Download exam sample paper
ISC
ISC
CBSE 12th
Karnataka 2nd PUC
Want to know more about REVA University Bangalore Scholarship details?
Read about Scholarship
BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Placements
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
| Particulars | Statistics (2025) |
|---|---|
| Highest Salary | INR 40.00 Lakh |
Top Recruiters for REVA University BangaloreACCENTURE
Berger Paints
CapGemini
Centum Learning
Cerner
Cognizant
Deloitte
DHL
IBM
Infosys
KPMG
Microsoft
MU Sigma
Practo
Prism
Puravankara Group
pwc
TCS
Walmart
Wipro
BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Entry Requirements
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
General
SC
ST
Requirements for 12th grade
- 45%
- Read moreCandidates must have a Pass in PUC/10+2 with at least 45% marks (40% in case of candidate belonging to SC/ST category) from any recognized Board/Council of or any other qualification recognized as equivalent thereto. The students who have not done PUC/10+2 examination with Mathematics / Computer Science / Statistics / Information Technology / Informatics Practices as compulsory subject have to compulsorily undergo a mandatory bridge course on Mathematics Fundamentals of 15 Hrs duration offered by the School/Department.
Karnataka 2nd PUC
ISC
CBSE 12th
Other eligibility criteria
Minimum eligibility criteria for opting the course in the fourth year: BCA- AI &ML (Honours with Research) requires a BCA - AI&ML Degree with 75% marks and above in the first six semesters. BCA- AI&ML (Honours) requires a BCA- AI&ML Degree.
BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Admission Process
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
Important Dates
ALL
COURSE
KARNATAKA 2ND PUC
ISC
CBSE 12TH
Sep 24 - Oct 17, 2026
CBSE 12th-CBSE LOC Form Submission 2027 without late fees through challan
Sep 24 - Oct 21, 2026
CBSE 12th-CBSE LOC Form Submission 2027 without late fees except challan
Oct 8 - 23, 2026
CBSE 12th-CBSE Private Candidate Form 2027 Class 12 without late fees
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BCA in Artificial Intelligence and Machine Learning at REVA University Bangalore Contact Information
BCA in Artificial Intelligence and Machine Learning
at REVA University Bangalore
Address
Rukmini Knowledge Park, Kattigenahalli Yelahanka
Bangalore ( Karnataka)
Phone
8046966966
(For general query)
9021190211
(For admission query)
Email
info@reva.edu.in
(For general query)
admissions@reva.edu.in
(For admission query)
Go to College Website ->
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