JEE Mains OPEN Female-only (including Supernumerary) JoSAA 2025 Rank 10,000–15,000

Colleges for JEE Mains Rank 10,000–15,000 in AI & Data Science (OPEN) — JoSAA 2025

If your JEE Mains OPEN rank falls between 10,000 and 15,000, you have a realistic shot at 3 AI & Data Science program(s) in JoSAA 2025. This page consolidates the complete opening and final closing rank data for every program in this band — split by All India / Other State quota and Home State quota — identifies your safe vs. borderline options, and links to detailed profiles for each college.

3 programs listed
3 OS / AI quota
6 Data through Round

Warning: These are Options, Not a Strategy

The tables below show which colleges you can clear. They do NOT tell you the correct order to fill them in JoSAA. Every year, students in this rank band lose a better college due to incorrect choice ordering.

See Exact Choice Order →

AI & Data Science Programs for OPEN Rank 10,000–15,000 — JoSAA 2025

Showing final closing ranks from Round 6 (the most predictive round) · Category: OPEN · Gender: Female-only (including Supernumerary)

All India / Other State (OS/AI) Quota — OPEN Rank 10,000–15,000

These cutoffs apply to candidates who are NOT domiciled in the institute's home state, and to all candidates for IITs (AI quota). If you do not qualify for Home State quota at a listed NIT, the OS closing rank is the benchmark for your eligibility.

# Institute Opening Closing (R6) Tier YoY Trend Profile
1
🎓 MNIT Jaipur
↳ Artificial Intelligence and Data Engineering
JoSAA 202
11,881 11,881 ⚡ Borderline ↓ −50.8%
2
🎓 NIT Delhi
↳ Artificial Intelligence and Data Science
JoSAA 207
13,378 13,378 ⚡ Borderline ↓ −2.0%
3
🎓 IIIT Lucknow
↳ Computer Science and Artificial Intelligence
JoSAA 315
12,630 14,837 ✓ Safe ↓ −3.9%

You're Not Done Yet — Your Choice Order Decides Everything

You’ve identified your options above. But JoSAA doesn’t care about options — it cares about order. Even a single wrong placement can cost you a full tier of college. Don't risk it.

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Which of These Colleges Is Safest for Rank 10,000–15,000?

Tier boundaries computed against your band midpoint (12,500) using Round 6 final closing rank data. Lower rank number = more competitive.

National / Other State Quota — Tier Analysis

This analysis applies to candidates competing under OS (Other State) or AI (All India) quota — the benchmark for any candidate who is not a domicile of the listed institute's home state.

Safe Allotment (High Probability)

Tier 1 — High Probability Colleges for Rank 10,000–15,000 (OS)

Colleges where the final closing rank is at least 400+ above the band midpoint (12,500) under OS/AI quota

IIIT Lucknow

IIIT Lucknow is the most reliable safe option(s) in the 10,000–15,000 band for OS/AI candidates. Candidates with ranks in the lower half of this band are comfortably inside the historical closing rank. IIIT Lucknow has been easing (–3.9% YoY) — a favourable trajectory.

Borderline (Coin-Flip Zone)

Tier 2 — Borderline Colleges (Your Rank is In the Mix) (OS)

Colleges where the band midpoint (12,500) falls within ±400 of the final closing rank under OS/AI quota

MNIT Jaipur NIT Delhi

MNIT Jaipur, NIT Delhi are where most candidates in the 10,000–15,000 range will be competing under OS/AI quota for AI & Data Science. The final-round closing rank is the most predictive indicator for this zone — always plan against final-round data rather than Round 1. Your choice-filling order is decisive here.

Reach (Lower Probability, Worth Including)

Tier 3 — Reach Colleges (Include But Don't Anchor On) (OS)

Colleges where the opening rank under OS/AI quota is above the band midpoint (12,500)

No colleges are in the Reach zone for the 10,000–15,000 band. All listed programs sit within the Safe or Borderline range.

Home State Quota — Where Domicile Creates a Strategic Advantage

For candidates domiciled in the state of a listed NIT, the HS quota unlocks a more accessible tier of cutoffs at the same institute. This section highlights where Home State status changes the tier classification within the 10,000–15,000 band.

No NITs in this rank band have Home State (HS) quota data within the 10,000–15,000 range for OPEN candidates under this gender filter. OS quota applies universally for all candidates at these institutes.

For complete historical cutoff data, seat matrices, placement records, and campus information for every college on this page, visit their dedicated profiles:

Have These Cutoffs Been Rising or Falling? (Year-on-Year Trend)

Lower rank number = more competitive (fewer candidates ranked above you)

Planning Note for JoSAA 2026: MNIT Jaipur, NIT Delhi, IIIT Lucknow have been easing — a favourable trajectory for candidates in this band.

Other State / All India (OS/AI) Quota — Final Closing Rank Trend

Frequently Asked Questions

About AI & Data Science admissions for OPEN rank 10,000–15,000 candidates.

For OPEN ranks in the 10,000–15,000 range under OS quota, MNIT Jaipur AI & Data Science (final closing rank 11,881 in 2025) and NIT Delhi (final closing rank 13,378) are the most realistic national-pool targets. See the full tiered breakdown above.

A rank of 12,500 is in the borderline zone for MNIT Jaipur AI & Data Science under OS quota (final closing rank: 11,881 in 2025). Its year-on-year trend is easing (–50.8%), which is a positive signal for candidates near the band midpoint. This rank is not definitively safe — your choice-filling order matters significantly for borderline positions.

JoSAA splits NIT seats into two quota pools: Other State (OS) — open to all candidates nationwide — and Home State (HS) — reserved for candidates who are domiciles of the state where the NIT is located. Approximately 50% of seats fall under HS quota. HS closing ranks are consistently more accessible (higher rank number) than OS closing ranks at the same college and category, often by several hundred to over a thousand ranks. If you qualify for HS quota at any NIT in your shortlist, always add both the HS and OS entries for that college to your choice list — list the HS entry above the OS entry for the same programme.

The optimal strategy for borderline ranks is to list choices in descending order of preference (best college first), not in ascending order of probability. JoSAA's allotment algorithm guarantees you the highest-ranked choice you qualify for — which means listing aspirational choices first is never 'risky.' The mistake is omitting them, listing them too low, or failing to include both HS and OS entries for the same NIT. justcutoffs.com's expert system automates this entire ordering correctly.

Trends vary by institute. Under OS quota: MNIT Jaipur is easing (–50.8% YoY); NIT Delhi is easing (–2.0% YoY); IIIT Lucknow is easing (–3.9% YoY). See the year-on-year trend charts above, split by quota type, for a complete visual comparison.

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