Key Decision Metrics: CSE (Data Science) at SRMIST Delhi-NCR
- Institution: SRMIST – Delhi-NCR Campus (Modinagar / Ghaziabad), Ghaziabad
- Discipline Category: AI / DS / Cyber (B.Tech CSE (Data Science))
- KCET 2025 Cutoff: Round 1: N/A | Final Close: N/A
- COMEDK 2025 Cutoff: Round 1: N/A | Final Close: N/A
- Tuition Spectrum: KCET: SRMJEEE Merit: ₹2.00L–₹3.50L/yr (+ ₹21k Reg) | COMEDK: Direct Mgmt Y1: ₹4.50L+ (Mgmt Y1: ₹3.5L+)
- Management Package: ₹10.21 Lakhs (4 Years)
- Salary Profile: Average: ₹7.34 LPA | Highest: ₹37.8 LPA
- Recruitment Track: ~89% (Data Science Cohort)
Historical Cutoff Trends & Closing Rank Trajectory for CSE (Data Science)
Selecting CSE (Data Science) at SRMIST – Delhi-NCR Campus (Modinagar / Ghaziabad) (SRMIST Delhi-NCR) 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 | N/A | N/A |
| COMEDK UGET (Open Merit) | N/A | N/A | N/A | N/A | N/A | N/A |
In the 2025 state counseling process (KCET), General Merit candidates encountered a final closing rank of N/A, following a Round 1 opening rank of N/A. For all-India candidates qualifying through COMEDK UGET, the closing threshold settled at N/A. 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 CSE (Data Science)
Financial planning for B.Tech CSE (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 SRMJEEE Merit: ₹2.00L–₹3.50L/yr (+ ₹21k Reg), 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 Direct Mgmt Y1: ₹4.50L+ (Mgmt Y1: ₹3.5L+), 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 ₹10.21 Lakhs. The installment schedule includes: Year 1: ₹2.5L, Year 2: ₹2.5L, Year 3: ₹2.5L, Year 4: ₹2.5L, along with a nominal one-time registration charge of ₹0.21L.
Official Demand Drafts for tuition fees must be issued payable strictly to: Tuition DD: 'SRMIST-Admissions' (Delhi-NCR Campus), Payable at Chennai / Modinagar payable at Ghaziabad.
Placement Records, Salary Distributions & Recruiter Engagement
Graduates from SRMIST Delhi-NCR's Department of CSE (Data Science) benefit from an established corporate placement ecosystem. The latest academic cohort recorded an overall placement conversion of ~89% (Data Science Cohort).
Key departmental compensation metrics include:
- Department All-Time Highest Offer: ₹37.8 LPA
- Latest Peak Offer (2025/26 Cycle): ₹26.1 LPA
- Department Average Compensation: ₹7.34 LPA
- Baseline Compensation: ₹3.9 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 CSE (Data Science)
Evaluating the economic yield of completing CSE (Data Science) at SRMIST – Delhi-NCR Campus (Modinagar / Ghaziabad) 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 ₹7.34 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. For management quota scholars investing ₹10.21 Lakhs, the calculated salary-to-investment ratio stands at 0.72x, underlining the value of focusing on top-tier placement opportunities.
Frequently Asked Questions: CSE (Data Science)
What is the KCET closing cutoff for CSE (Data Science) at SRMIST Delhi-NCR?
The 2025 KCET General Merit closing cutoff for CSE (Data Science) at SRMIST – Delhi-NCR Campus (Modinagar / Ghaziabad) settled at N/A, with initial Round 1 opening ranks commencing at N/A. Cutoffs vary according to reservation categories.
What is the COMEDK closing rank for CSE (Data Science) at SRMIST Delhi-NCR?
In COMEDK UGET counseling, CSE (Data Science) recorded a final 2025 closing cutoff of N/A. Opening ranks began at N/A during Round 1 of online seat allocation.
What is the average placement salary for CSE (Data Science) at SRMIST Delhi-NCR?
Graduates of CSE (Data Science) command an average annual salary of ₹7.34 LPA, with historical top offers reaching ₹37.8 LPA and recent recruitment recording ~89% (Data Science Cohort).
What are the management quota fees for CSE (Data Science) at SRMIST Delhi-NCR?
The total 4-year management quota package for CSE (Data Science) is ₹10.21 Lakhs. Remittance follows the defined multi-year installment schedule.
In whose name should the Demand Draft be issued for CSE (Data Science)?
Official Demand Drafts must be made payable to Tuition DD: 'SRMIST-Admissions' (Delhi-NCR Campus), Payable at Chennai / Modinagar, payable at Ghaziabad. Always write the candidate's name and registration number on the reverse.
What career roles do graduates of CSE (Data Science) from SRMIST Delhi-NCR 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.