Key Decision Metrics: Artificial Intelligence and Data Science at REVA
- Institution: REVA University, Bengaluru
- Discipline Category: Computer Science & IT (B.E. Artificial Intelligence and Data Science)
- KCET 2025 Cutoff: Round 1: 18,329 | Final Close: 22,888
- COMEDK 2025 Cutoff: Round 1: N/A | Final Close: 61,900
- Tuition Spectrum: KCET: KCET: ₹1.25L–₹1.40L | COMEDK: REVA CET: ₹2.75L–₹4.50L
- Management Package: Inquire at Admissions
- Salary Profile: Average: ₹7.24 LPA | Highest: ₹59.58 LPA
- Recruitment Track: Active Campus Placements
Historical Cutoff Trends & Closing Rank Trajectory for Artificial Intelligence and Data Science
Selecting Artificial Intelligence and Data Science at REVA University (REVA) requires a nuanced understanding of entrance rank dynamics across Karnataka state and all-India entrance channels. The following comparative table documents opening and closing ranks recorded across the 2023, 2024, and 2025 admissions cycles.
| Entrance Examination | 2023 R1 Open | 2023 Final Close | 2024 R1 Open | 2024 Final Close | 2025 R1 Open | 2025 Final Close |
|---|---|---|---|---|---|---|
| KCET (General Merit - GM) | N/A | N/A | N/A | N/A | 18,329 | 22,888 |
| COMEDK UGET (Open Merit) | N/A | N/A | N/A | N/A | N/A | 61,900 |
In the 2025 state counseling process (KCET), General Merit candidates encountered a final closing rank of 22,888, following a Round 1 opening rank of 18,329. For all-India candidates qualifying through COMEDK UGET, the closing threshold settled at 61,900. Aspirants aiming for this program in upcoming counseling rounds should target rank bands within or slightly ahead of these closing benchmarks during initial option entry.
Tuition Structure & Quota Commitments for Artificial Intelligence and Data Science
Financial planning for B.E. Artificial Intelligence and Data Science involves three statutory entry tiers established under institutional and state norms:
- Karnataka Government Quota (KCET): Students allotted seats through KEA merit counseling remit regulated annual tuition of KCET: ₹1.25L–₹1.40L, totaling approximately ₹4.5 Lakhs across the complete 4-year undergraduate degree.
- All-India Consortium Quota (COMEDK): Non-Karnataka and all-India entrants pay standard annual tuition of REVA CET: ₹2.75L–₹4.50L, payable in four equal installments prior to the commencement of each academic year.
- Institutional Management Quota: For self-financed admissions, the four-year composite package is fixed at Available on Inquiry. The installment schedule includes: Year 1: ₹0.0L, Year 2: ₹0.0L, Year 3: ₹0.0L, Year 4: ₹0.0L, along with a nominal one-time registration charge of ₹0.0L.
Official Demand Drafts for tuition fees must be issued payable strictly to: Tuition DD: 'REVA University' (or 'Rukmini Educational Charitable Trust'), Payable at Bengaluru payable at Bengaluru.
Placement Records, Salary Distributions & Recruiter Engagement
Graduates from REVA's Department of Artificial Intelligence and Data Science benefit from an established corporate placement ecosystem. The latest academic cohort recorded an overall placement conversion of Active Campus Placements.
Key departmental compensation metrics include:
- Department All-Time Highest Offer: ₹59.58 LPA
- Latest Peak Offer (2025/26 Cycle): ₹56.0 LPA
- Department Average Compensation: ₹7.24 LPA
- Baseline Compensation: ₹4.5 LPA
Recruitment drives feature leading software enterprises, electronic systems designers, core engineering conglomerates, and multinational consulting firms. Undergraduate students undergo structured pre-placement orientation including coding bootcamps, technical aptitude coaching, and mock interview panels.
Return on Investment (ROI) & Payback Horizon for Artificial Intelligence and Data Science
Evaluating the economic yield of completing Artificial Intelligence and Data Science at REVA University shows distinct financial payback horizons based on admission quota:
For state quota KCET scholars investing approx ₹4.5 Lakhs across four years, an average starting salary of ₹7.24 LPA achieves full tuition recovery within 7 to 9 months of active employment, representing one of the highest educational ROI multiples in Karnataka technical education.
For COMEDK entrants investing between ₹10 Lakhs and ₹13.2 Lakhs, the payback horizon averages 1.6 to 2.1 years. Direct entrants should benchmark package distributions against their total fee outlay.
Frequently Asked Questions: Artificial Intelligence and Data Science
What is the KCET closing cutoff for Artificial Intelligence and Data Science at REVA?
The 2025 KCET General Merit closing cutoff for Artificial Intelligence and Data Science at REVA University settled at 22,888, with initial Round 1 opening ranks commencing at 18,329. Cutoffs vary according to reservation categories.
What is the COMEDK closing rank for Artificial Intelligence and Data Science at REVA?
In COMEDK UGET counseling, Artificial Intelligence and Data Science recorded a final 2025 closing cutoff of 61,900. Opening ranks began at N/A during Round 1 of online seat allocation.
What is the average placement salary for Artificial Intelligence and Data Science at REVA?
Graduates of Artificial Intelligence and Data Science command an average annual salary of ₹7.24 LPA, with historical top offers reaching ₹59.58 LPA and recent recruitment recording Active Campus Placements.
What are the management quota fees for Artificial Intelligence and Data Science at REVA?
The total 4-year management quota package for Artificial Intelligence and Data Science is available upon application. Remittance follows the defined multi-year installment schedule.
In whose name should the Demand Draft be issued for Artificial Intelligence and Data Science?
Official Demand Drafts must be made payable to Tuition DD: 'REVA University' (or 'Rukmini Educational Charitable Trust'), Payable at Bengaluru, payable at Bengaluru. Always write the candidate's name and registration number on the reverse.
What career roles do graduates of Artificial Intelligence and Data Science from REVA secure?
Graduates take up positions in tier-1 tech corporations, consulting agencies, and R&D facilities as software engineers, technical analysts, system architects, and design specialists.