IIM Ahmedabad MBA-FABM RTI Data
This page is built around what serious MBA-FABM aspirants usually search for: category-wise shortlist composite score, category-wise final-offer composite score, total offers, and waitlist movement. Since IIMA now presents the programme as MBA-FABM while many historical RTI pages label it PGP-FABM, this page keeps that naming difference transparent.
For IIM Ahmedabad MBA-FABM, shortlist difficulty and final-convert difficulty are not the same thing. So this page keeps the shortlist composite score, final-offer composite score, offers, and waitlist movement separate, and also adds minimum CAT percentile of offered candidates plus class composition because the FABM batch is relatively small.
What most students want first
The latest completed batch is surfaced first because for a small programme like MBA-FABM, old data can quickly become less useful.
Latest completed MBA-FABM batch shown on this page.
Total interview shortlist count across categories for 2025-27.
Total final offers across categories for 2025-27.
Public RTI-style class composition total for 2025-27.
1) Category-wise Composite Score for Shortlisting to AWT / PI
This is the first table serious applicants should read. It shows the real shortlist threshold by category, not just eligibility cutoffs.
| Batch | General | EWS | NC-OBC | SC | ST | PwD |
|---|---|---|---|---|---|---|
| 2025-27 | 0.435243 | 0.481179 | 0.358078 | 0.240585 | 0.294390 | 0.403324 |
| 2024-26 | 0.420840 | 0.442080 | 0.337180 | 0.202130 | 0.215470 | 0.375220 |
| 2023-25 | 0.396593 | 0.447401 | 0.297581 | 0.194441 | 0.175111 | 0.375901 |
2) Category-wise Number of Candidates Shortlisted for Interview Round
This tells you how wide or narrow the funnel was before final admission.
| Batch | General | EWS | NC-OBC | SC | ST | PwD | Total shortlisted |
|---|---|---|---|---|---|---|---|
| 2025-27 | 382 | 36 | 297 | 160 | 30 | 17 | 922 |
| 2024-26 | 381 | 36 | 297 | 137 | 31 | 26 | 908 |
| 2023-25 | 342 | 34 | 268 | 102 | 29 | 14 | 789 |
MBA-FABM shortlist counts are far smaller than flagship MBA/PGP numbers, which is exactly why final-offer and waitlist interpretation should be done carefully.
3) Category-wise Composite Score Cutoff for the Final Offer of Admission
This is the most useful table after interview season because it reflects the actual final-offer threshold by category.
| Batch | General | EWS | NC-OBC | SC | ST | PwD |
|---|---|---|---|---|---|---|
| 2025-27 | 0.675837 | 0.591779 | 0.645273 | 0.469163 | 0.302534 | 0.422339 |
| 2024-26 | 0.655490 | 0.680300 | 0.625550 | 0.433190 | 0.435590 | 0.426540 |
| 2023-25 | 0.496762 | 0.484285 | 0.473193 | 0.353805 | 0.241888 | NA |
4) Category-wise Total Number of Students Offered Final Admission
This helps you understand how large the offer pool was relative to the eventual batch size.
| Batch | General | EWS | NC-OBC | SC | ST | PwD | Total offers |
|---|---|---|---|---|---|---|---|
| 2025-27 | 27 | 3 | 16 | 11 | 6 | 3 | 66 |
| 2024-26 | 33 | 1 | 15 | 10 | 5 | 2 | 66 |
| 2023-25 | 33 | 1 | 19 | 11 | 4 | NA | 68 |
5) Category-wise Total Waitlist Movement
For converts, this is the most practical table after final results.
| Batch | General | EWS | NC-OBC | SC | ST | PwD | Total movement |
|---|---|---|---|---|---|---|---|
| 2025-27 | 6 | 2 | 4 | 4 | 3 | 1 | 20 |
| 2024-26 | 11 | 0 | 3 | 3 | 2 | 0 | 19 |
| 2023-25 | 9 | 0 | 7 | 4 | 1 | 0 | 21 |
6) Category-wise Minimum CAT Percentile for Offered Candidates
This is often what students search for when they want the lowest visible CAT percentile at which an offer happened.
| Batch | General | EWS | NC-OBC | SC | ST | PwD |
|---|---|---|---|---|---|---|
| 2025-27 | 75.88 | 89.25 | 72.63 | 65.23 | 63.49 | 90.66 |
| 2024-26 | 84.65 | 91.61 | 79.31 | 65.54 | 74.99 | 85.85 |
| 2023-25 | 80.52 | 88.77 | 82.11 | 69.97 | 72.01 | NA |
7) Current Class Composition
Since the FABM batch is small, this section gives useful context for how many students actually joined by category.
| Batch | General | EWS | NC-OBC | SC | ST | PwD | Total joined / visible |
|---|---|---|---|---|---|---|---|
| 2025-27 | 22 | 1 | 12 | 7 | 3 | 2 | 47 |
| 2024-26 | 23 | 1 | 12 | 7 | 3 | 1 | 47 |
| 2023-25 | 24 | 1 | 12 | 7 | 3 | NA | 47 |
In the public 2023-25 extraction, some PwD final/joined fields were not clearly disclosed, so they are preserved as NA here.
Official IIMA MBA-FABM Formula: Why shortlist and final sections are separate
This is the key logic students should understand before comparing any cutoffs.
AWT / PI shortlist
IIMA states that for MBA-FABM shortlisting, 65% weightage is given to CAT and 35% weightage to Application Rating Score (ARS).
Official composite score formula: Composite Score = 0.35 × ARS + 0.65 × NCS.
Final selection
IIMA states that final selection uses: 10% AWT + 40% PI + 50% Composite Score.
That is why shortlist composite score and final-offer composite score must be shown as separate blocks.
How to read this page correctly
One simple framework for MBA-FABM aspirants.
Step 1: Read shortlist CS
Use this to understand whether your CAT + academic profile + relevant background were strong enough for the interview shortlist.
Step 2: Read final-offer CS
Use this to understand the actual convert level after AWT and PI were added to the process.
Step 3: Read offers, waitlist and class size together
For a specialist small batch like MBA-FABM, these three together give better reality than any one number alone.
FAQ
Only the practical questions students usually ask.
Is this page for MBA-FABM or PGP-FABM?
Both names refer to the same programme in this context. IIMA’s current official site uses MBA-FABM, while many historical RTI-style pages use PGP-FABM.
Which table is more important: shortlist CS or final-offer CS?
Both matter, but for different uses. Shortlist CS tells you call difficulty. Final-offer CS tells you convert difficulty after AWT and PI.
Why do the waitlist numbers look smaller than flagship MBA pages?
Because MBA-FABM is a much smaller programme. Even a waitlist move of 6, 9 or 11 can still be meaningful here.
Can I compare shortlist CS and final-offer CS directly?
No. They are based on different scoring stages. IIMA uses one logic to shortlist and another mix to make final offers.
Why is some 2023-25 PwD data shown as NA?
Because the public RTI-style extraction for 2023-25 does not clearly disclose some PwD final-offer fields. It is better to keep those values unavailable rather than invent numbers.
Need this same RTI format for more colleges and specialist programmes?
This page follows the right MBA RTI intent order: shortlist CS first, final-offer CS second, total offers third, waitlist movement fourth, and source links below.
