Total Seats in IIM for MBA/PGDM: Intake, Diversity & Class Profile Explained
We have outlined the key details of total seats in IIM, diversity, and class profiles, and how they can significantly impact your MBA journey planning. Instead of just answering “How many seats are there?”, our blog provides you with accurate data on batch size, gender ratio, academic background, work experience, and specialised programmes to know where you genuinely stand a better chance and where you will actually fit in. It also highlights how reservation policies, evolving selection criteria, and newer specialised courses impact your odds and career path.
Overview of Total Seats in IIM
When you look at IIM intake, diversity, and class profile in a descriptive way, the numbers stop being abstract and start becoming strategic. They tell you where the real competition lies, which institutes are deliberately rewarding profiles like yours, and how newer and specialized programmes are quietly becoming wise career choices. And you can get the whole B-school’s data from our very own expert-created B-school zone.
| B School | Program | PGP-Intake | Batch of | % of females | % of non-engg | % of engg | Freshers: WorkEx | Average Age (in years) |
| IIM Ahmedabad | PGP | 408 | 25 | 39 | 61 | 29:71 | 23 | 27 |
| IIM Ahmedabad | FABM | 47 | 36 | 39 | 61 | 29:71 | 23 | 27 |
| IIM Bangalore | PGP | 413 | 40 | 27 | 73 | 14:86 | 26 | 27 |
| IIM Bangalore | PGP BA | 70 | 40 | 27 | 73 | 14:86 | 26 | 27 |
| IIM Calcutta | PGP | 480 | 32 | 42 | 58 | 39:61 | 25 | 22 |
| IIM Lucknow | PGP | 507 | 32 | 41 | 59 | 30:70 | 24 | 25 |
| IIM Lucknow | FABM | 57 | 32 | 41 | 59 | 30:70 | 24 | 25 |
| IIM Lucknow | SM | 57 | 32 | 41 | 59 | 30:70 | 24 | 34 |
| IIM Indore | PGP | 412 | 27 | 48 | 52 | 24:76 | 23 | 22 |
| IIM Indore | HRM | 38 | 27 | 48 | 52 | 24:76 | 23 | 22 |
| IIM Kozhikode | PGP | 483 | 46 | 46 | 54 | 29:71 | 24 | 17.5 |
| IIM Kozhikode | FINANCE | 49 | 46 | 46 | 54 | 29:71 | 24 | 17.5 |
| IIM Kozhikode | LSM | 52 | 46 | 46 | 54 | 29:71 | 24 | 17.5 |
| IIM Shillong | PGP | 383 | 45 | 41 | 59 | 27:73 | 25 | 24 |
| IIM Mumbai | MBA | 300 | 17 | 29 | 71 | 20:80 | 24 | 19 |
| IIM Mumbai | OSCM | 180 | 17 | 29 | 71 | 20:80 | 24 | 19 |
| IIM Mumbai | SM | 180 | 17 | 29 | 71 | 20:80 | 24 | 19 |
| IIM Amritsar | PGP | 240 | 19 | 35 | 65 | 40:60 | 24 | 31 |
| IIM Amritsar | HRM | 60 | 19 | 35 | 65 | 40:60 | 24 | 31 |
| IIM Amritsar | BA | 90 | 19 | 35 | 65 | 40:60 | 24 | 31 |
| IIM Vizag | PGP | 287 | 40 | 20 | 80 | 23:77 | NA | NA |
| IIM Rohtak | PGP | 259 | 30 | 51 | 49 | 38:62 | NA | NA |
| IIM Raipur | PGP | 331 | 62 | 59 | 41 | 54:46 | 23 | 17 |
| IIM Ranchi | PGP | 120 | 28 | 40 | 60 | 48:52 | 24 | 21 |
| IIM Ranchi | HRM | 50 | 28 | 40 | 60 | 48:52 | 24 | 21 |
| IIM Trichy | PGP | 360 | 35 | 37 | 63 | 40:60 | 24 | 23 |
| IIM Trichy | HRM | 60 | 35 | 37 | 63 | 40:60 | 24 | 23 |
| IIM Udaipur | PGP | 375 | 31 | 36 | 64 | 25:75 | 24 | 31 |
| IIM Jamm | PGP | 420 | 21 | 44 | 56 | 75:25 | 24 | 19 |
| IIM Jammu | HHM | 75 | 21 | 44 | 56 | 75:25 | 24 | 19 |
| IIM Bodhgaya | PGP | 312 | 22 | 38 | 62 | 48:52 | 25 | 34 |
| IIM BodhgayaHHM | HHM | 60 | 22 | 38 | 62 | 48:52 | 25 | 34 |
| IIM Bodhgaya | DBM | 60 | 22 | 38 | 62 | 48:52 | 25 | 34 |
| IIM Sirmaur | PGP | 238 | 31 | 44 | 56 | 67:33 | 21 | 23 |
| IIM Sirmaur | Tourism And Hospitality Management | 60 | 31 | 44 | 56 | 67:33 | 21 | 23 |
| IIM Sambalpur | PGP | 321 | 35 | 52 | 48 | 54:46 | 23 | 13 |
| IIM Nagpur | PGP | 280 | 44 | 58 | 42 | 50:50 | 23 | 22 |
| IIM Kashipur | PGP | 386 | 43 | 45 | 55 | 33:67 | 24 | 25 |
| IIM Kashipur | BA | 60 | 43 | 45 | 55 | 33:67 | 24 | 25 |
In the next section, we will walk you through concrete examples, such as how a fresher non-engineer, a working professional with 3-4 years of experience, and a domain-focused aspirant (e.g., HR, analytics, or operations) can each use this data to build a sharper, more realistic IIM plan.
Read More: Top MBA Colleges in India
Why Knowing IIM Seats, Diversity & Class Profile Actually Matters?
Most aspirants look at IIM numbers only as “How many seats do I have a chance at?” But if you read the data the right way, it becomes a powerful tool for strategy, expectation-setting, and career planning. Here are the key reasons why understanding IIM intake, diversity, and class profile is important:
It helps you benchmark competition realistically
Knowing the total seats across 21 IIMs, and how they are distributed, stops you from planning in the dark.
- When you see that the combined intake is limited compared to lakhs of CAT test-takers, you immediately understand why cut-offs are high for top IIMs.
- Intake numbers also tell you which IIMs/programmes are hyper-competitive (large applicant pool, limited seats) versus those that are relatively less crowded but high on value.
- For serious aspirants, this is the starting point for building a data-backed target list, including Old IIMs, New IIMs, and emerging IIMs, rather than relying on hearsay or random online opinions.
We want you to treat admissions like any other high-stakes exam: know the denominator, not just the dream.
It clarifies how reservation and category-wise seats affect your odds
Total intake is never equal to the effective seats available for you.
- Once you overlay the Government of India reservation norms on these seats, the effective number of seats for General / OBC-NCL / SC / ST / EWS / PwD candidates looks very different.
- For a General category aspirant, understanding that only a portion of seats are actually open to them is crucial for target percentile planning.
- For reserved category aspirants, this helps align expectations: sometimes a slightly lower percentile can still convert into a strong call, provided your overall profile and form performance are solid.
Instead of getting demotivated by raw numbers, we encourage you to use category-wise realities to set smart, personalised score and percentile targets.
It helps you choose IIMs that value your profile (not just your percentile)
The class profile data, such as the percentage of females and non-engineers, as well as the mix of freshers and work-experienced candidates, provides a window into what each IIM is consciously trying to build.
- If an IIM consistently has 40–50% non-engineers, it signals that they actively value academic diversity. Non-engineers should see this as a real opportunity, not a disadvantage.
- If an institute has a strong mix of freshers and experienced candidates, you know they are not biased towards one type of profile.
- Gender diversity numbers show how far an IIM has gone to create a balanced, inclusive cohort; this matters for learning, networking and placements.
We always push aspirants to look beyond “brand” and ask: “Where does my profile genuinely fit and stand out?” Class profile data gives you that answer.
It gives you a sense of the peer group you’ll learn and compete with
An MBA is not just about courses and faculty; it is also heavily about who you sit next to for two years.
- A batch with higher average work experience and age will naturally have more industry-focused conversations, mature peer learning, and often more clarity on post-MBA goals.
- A classroom with a good mix of engineers, commerce, economics, arts, and science graduates exposes you to multiple ways of thinking, which is crucial for case-based pedagogy.
When we advise students on college shortlisting, we don’t just ask, “Can you get in?” We also ask, “Will you grow in this peer group?” Batch profile data is central to that conversation.
It helps you understand how selection criteria are evolving
Rising non-engineer and female percentages are rarely accidental. They usually reflect a deliberate change in selection criteria:
- More weight to 10th/12th/grad marks and not just CAT.
- Extra points for academic diversity, gender diversity, and work experience in the shortlisting and final merit process.
- More emphasis on the overall profile, such as projects, internships, achievements, and interview performance.
Tracking this shift using batch data helps you understand why a particular profile converted IIM calls at a slightly lower percentile while another did not.
We use such data to fine-tune profile-building, form-filling, and PI prep strategies for our students, so they’re aligned with what IIMs are actually rewarding.
It helps you align your career goals with the right programme
Many IIMs now offer specialised programmes such as FABM, HRM, BA, SM, OSCM, LSM, Tourism & Hospitality, Healthcare, and Digital Business alongside the flagship PGP/MBA.
- Intake numbers for these programmes indicate whether they are niche, close-knit cohorts or large mainstream offerings.
- Diversity and work experience data show who you will be surrounded by: HR-focused professionals, analytics enthusiasts, agri-business aspirants, operations specialists, and so on.
- If you are already clear about your domain interests (analytics, HR, operations, sustainability, agri-business), choosing the right specialised programme can give you a more directed career trajectory than a generic MBA.
We often see strong profiles underperform because they picked the wrong programme-fit. Understanding programme-wise seat and profile data is the first step towards strategic programme selection.
It allows for more intelligent risk management in your college list
Once you know which IIMs have:
- Higher intakes,
- Broader diversity,
- And a more balanced fresher–work ex mix,
You can structure your preferences into dream, target and safe options.
- Larger-intake IIMs may offer slightly better conversion odds at a given percentile.
- Newer IIMs with strong diversity and decent batch size could be excellent ROI bets for many students.
- Smaller, niche programmes might be ideal for candidates who want depth in one area and are comfortable with tight-knit cohorts.
We recommend not leaving this to guesswork. A structured shortlist, based on real intake and profile data, is far more effective than randomly applying “everywhere”.
It prepares you better for interviews and form-filling
If you know the kind of batch an IIM is trying to build, you can tailor how you present your story:
- Position your academic background and projects so they complement the diversity they’re seeking.
- Highlight work experience in a way that resonates with programmes that favour industry exposure.
- As a fresher, emphasise potential, academic rigour, and initiative to reassure panels that you can thrive among more experienced peers.
In our CAT programs, like GDPI, where you can be assured of getting calls from top IIMs, we help you tailor your profile so it speaks the language that resonates with that institute.
It keeps you grounded: ambition with clarity, not anxiety
A lot of stress around CAT and IIM admissions comes from uncertainty and myths.
- When you see correct data, how many seats, what kind of students, how diversity is shifting, you replace rumours with clarity.
- Instead of thinking, “IIMs are impossible,” you start thinking, “These 5–7 IIMs/programmes are genuinely within reach if I execute well.”
- That clarity informs how you allocate your time across CAT preparation, profile building, and post-CAT preparation (forms, WAT, PI, GD).
Our goal is not to just get you to chase IIMs, but to chase them systematically. Understanding intake and batch profiles is the first step in that system.
It helps you evaluate newer IIMs and emerging programmes more objectively
Newer and baby IIMs are often misunderstood, either overhyped or undervalued.
- Seat count, diversity and work-experience mix tell you whether an institute is evolving into a strong, stable B-school or still in a very early build-out phase.
- If you see improving gender diversity, rising non-engineer intake, and a healthy work-ex mix, that’s usually a sign of maturing admissions processes and stronger market positioning.
- This lets you treat newer IIMs not as a “fallback” but as serious contenders in your plan.
We consistently advise aspirants to look at data, not legacy alone. Some newer IIMs are already offering outcomes that rival older institutes for specific profiles and domains.
Who Should Use This IIM Seat Data?
If you are planning to apply to IIMs, this data can help you make smarter and more confident decisions. It is especially helpful for:
- CAT aspirants who want to understand how the number of seats affects competition
- Fresh graduates who are looking for IIMs that are more welcoming to candidates with no work experience
- Working professionals who want to compare batch profiles and see where their experience fits best
- Non-engineers who wish to judge how comfortably they will fit into a diverse classroom
- Female candidates who want to see how gender diversity varies across different IIMs
- Aspirants who are considering specialised MBA programmes, along with the main flagship programmes.



