JEE Mains OPEN Gender-Neutral JoSAA 2025 Rank 25,000–35,000

Colleges for JEE Mains Rank 25,000–35,000 in AI & Data Science (OPEN) — JoSAA 2025

If your JEE Mains OPEN rank falls between 25,000 and 35,000, you have a realistic shot at 11 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.

13 programs listed
13 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 25,000–35,000 — JoSAA 2025

Showing final closing ranks from Round 6 (the most predictive round) · Category: OPEN · Gender: Gender-Neutral

All India / Other State (OS/AI) Quota — OPEN Rank 25,000–35,000

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
🎓 IIIT Bhopal
↳ Computer Science and Engineering (Artificial Intelligence)
JoSAA 323
16,175 25,497 ↑ Reach ↓ −7.9%
2
🎓 IIIT (IIIT), Sri City, Chittoor
↳ Artificial Intelligence and Data Science
JoSAA 307
18,106 26,000 ↑ Reach ↑ +8.8%
3
🎓 IIIT Bhopal
↳ Computer Science and Engineering (Data Science)
JoSAA 323
14,306 26,128 ↑ Reach ↓ −7.4%
4
🎓 IIIT (IIIT), Vadodara, Gujrat
↳ Artificial Intelligence
JoSAA 308
23,089 26,526 ↑ Reach → 0.0%
5
🎓 IIIT (IIIT) Nagpur
↳ Computer Science Engineering (Artificial lntelligence and Machine Learning)
JoSAA 320
13,842 26,908 ↑ Reach → 0.7%
6
🎓 IIIT (IIIT)Kota, Rajasthan
↳ Artificial Intelligence and Data Engineering
JoSAA 302
21,302 27,517 ↑ Reach ↓ −1.4%
7
🎓 IIIT (IIIT) Nagpur
↳ Computer Science Engineering (Data Science and Analytics)
JoSAA 320
11,635 28,520 ⚡ Borderline → 0.8%
8
🎓 NIT Sikkim
↳ Artificial Intelligence and Machine Learning
JoSAA 217
10,624 28,865 ⚡ Borderline ↑ +15.0%
9
🎓 IIIT (IIIT) Kottayam
↳ Computer Science and Engineering with specialization in Artificial Intelligence and Data Science
JoSAA 318
16,538 30,279 ⚡ Borderline ↑ +7.5%
10
🎓 IIIT (IIIT) Kilohrad, Sonepat, Haryana
↳ CSE ( Data Science & Analytics)
JoSAA 305
24,828 32,506 ✓ Safe ↓ −2.9%
11
🎓 IIIT (IIIT) Una, Himachal Pradesh
↳ Computer Science and Engineering (Data Science)
JoSAA 306
29,996 32,933 ✓ Safe ↓ −8.0%
12
🎓 IIIT (IIIT) Ranchi
↳ Computer Science and Engineering (with Specialization of Data Science and Artificial Intelligence)
JoSAA 319
23,715 33,600 ✓ Safe ↓ −7.2%
13
🎓 IIIT (IIIT) Kalyani, West Bengal
↳ Computer Science and Engineering ( Artificial Intelligence & Data Science)
JoSAA 304
18,253 34,909 ✓ Safe → 0.0%

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 25,000–35,000?

Tier boundaries computed against your band midpoint (30,000) 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 25,000–35,000 (OS)

Colleges where the final closing rank is at least 400+ above the band midpoint (30,000) under OS/AI quota

IIIT (IIIT) Kilohrad, Sonepat, Haryana IIIT (IIIT) Una, Himachal Pradesh IIIT (IIIT) Ranchi IIIT (IIIT) Kalyani, West Bengal

IIIT (IIIT) Kilohrad, Sonepat, Haryana, IIIT (IIIT) Una, Himachal Pradesh, IIIT (IIIT) Ranchi, IIIT (IIIT) Kalyani, West Bengal are the most reliable safe option(s) in the 25,000–35,000 band for OS/AI candidates. Candidates with ranks in the lower half of this band are comfortably inside the historical closing rank. IIIT (IIIT) Kilohrad, Sonepat, Haryana has been easing (–2.9% YoY) — a favourable trajectory. IIIT (IIIT) Una, Himachal Pradesh has been easing (–8.0% YoY) — a favourable trajectory. IIIT (IIIT) Ranchi has been easing (–7.2% YoY) — a favourable trajectory.

Borderline (Coin-Flip Zone)

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

Colleges where the band midpoint (30,000) falls within ±400 of the final closing rank under OS/AI quota

IIIT (IIIT) Nagpur NIT Sikkim IIIT (IIIT) Kottayam

IIIT (IIIT) Nagpur, NIT Sikkim, IIIT (IIIT) Kottayam are where most candidates in the 25,000–35,000 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 (30,000)

IIIT Bhopal IIIT (IIIT), Sri City, Chittoor IIIT Bhopal IIIT (IIIT), Vadodara, Gujrat IIIT (IIIT) Nagpur IIIT (IIIT)Kota, Rajasthan

IIIT Bhopal, IIIT (IIIT), Sri City, Chittoor, IIIT Bhopal, IIIT (IIIT), Vadodara, Gujrat, IIIT (IIIT) Nagpur, IIIT (IIIT)Kota, Rajasthan are in reach territory for most of the 25,000–35,000 band under OS/AI quota. Including them in your choice list at an appropriate position is rational — the JoSAA algorithm will consider it only if your rank qualifies, with zero downside risk. Notably, IIIT Bhopal, IIIT Bhopal, IIIT (IIIT)Kota, Rajasthan have shown an easing trend — the programme(s) may become more accessible in the coming cycle.

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 25,000–35,000 band.

No NITs in this rank band have Home State (HS) quota data within the 25,000–35,000 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: IIIT (IIIT), Sri City, Chittoor, NIT Sikkim, IIIT (IIIT) Kottayam have been tightening — plan with additional rank buffer beyond the listed closing rank. IIIT Bhopal, IIIT Bhopal, IIIT (IIIT)Kota, Rajasthan, IIIT (IIIT) Kilohrad, Sonepat, Haryana, IIIT (IIIT) Una, Himachal Pradesh, IIIT (IIIT) Ranchi have been easing — a favourable trajectory for candidates in this band. IIIT (IIIT), Vadodara, Gujrat, IIIT (IIIT) Nagpur, IIIT (IIIT) Nagpur, IIIT (IIIT) Kalyani, West Bengal are near-stable — the most predictable planning signal(s) on this page.

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

Frequently Asked Questions

About AI & Data Science admissions for OPEN rank 25,000–35,000 candidates.

For OPEN ranks in the 25,000–35,000 range under OS quota, IIIT Bhopal AI & Data Science (final closing rank 25,497 in 2025) and IIIT (IIIT), Sri City, Chittoor (final closing rank 26,000) are the most realistic national-pool targets. See the full tiered breakdown above.

A rank of 30,000 is in the borderline zone for IIIT (IIIT) Nagpur AI & Data Science under OS quota (final closing rank: 28,520 in 2025). 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: IIIT Bhopal is easing (–7.9% YoY); IIIT (IIIT), Sri City, Chittoor is tightening (+8.8% YoY); IIIT Bhopal is easing (–7.4% YoY); IIIT (IIIT), Vadodara, Gujrat is near-stable (+0.0% YoY). See the year-on-year trend charts above, split by quota type, for a complete visual comparison.

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