Placements

The latest batch report is historical, not a 2027 promise

MDI Gurgaon’s official placement index lists a final-placement report for the 2024–26 batch, followed by 2023–25 and earlier batches. That makes the 2024–26 document the latest final report visible in the captured index, but it is still an outcome record for students who completed a past placement cycle. It cannot establish what a student entering in 2027 will earn or which employers will recruit then. The institute’s report identifies four cohorts: 313 PGDM students, 124 PGDM-HRM students, 31 PGDM-Business Analytics students (the report labels this programme PGDM-BN), and 118 PGDM-IB students. These are programme batch sizes, not a count of graduates placed. The report does not publish a placement-rate denominator beside those totals. Read its figures as reported outcomes for the named batch, not as an individual salary forecast or a guarantee for the 2027–29 intake. See MDI’s final placement report index and the 2024–26 report.

2024–26 average and median CTC by programme

The report separates the full cohort from its top 10%, top 25% and top 50% groups. All CTC figures are stated in Indian rupees, in lakhs. The full-cohort figures are the most useful starting point for comparison; percentile averages describe selected upper portions of each cohort and should not be substituted for a typical student’s outcome.

The source labels the first value in each pair “Average” and the second “Median”; keeping both prevents the average from being mistaken for a midpoint. Across the four entire cohorts, the average exceeds the median by ₹0.5L to ₹1.8L. PGDM-HRM has the widest gap, ₹1.8L, while PGDM, Business Analytics and PGDM-IB each show gaps of ₹0.5L, ₹0.5L and ₹1.3L respectively. That is a comparison of the report’s summary statistics, not evidence about the distribution of individual offers or the cause of the difference. The report also says PGDM’s top-10-percentile average rose from ₹41.1L to ₹45.7L; the difference is ₹4.6L, about 11.2% of the earlier figure. This is a reported change for that percentile group, not the overall PGDM cohort. Source: MDI’s 2024–26 final placement report, programme highlight pages 4–7.

Hiring mix differs across the four cohorts

For the 2024–26 PGDM cohort, Consulting contributed 35.1% of offers, the largest sector share shown on that programme page. BFSI had the highest recruiter participation by sector, with 27 recruiters; Technology, Telecom & Media had 21 and Consulting had 18. The report lists 14 recruiters in FMCD/FMCG, 18 in Conglomerates, Automobile, Energy & Logistics, four in Pharmaceuticals & Healthcare and four in E-Commerce. These sector counts describe recruiter participation, not the number of students hired in each function.

The other programmes have distinct offer patterns. Consulting accounted for 46.2% of PGDM-HRM offers, while the Business Analytics page shows 36.6% Consulting and 30.0% BFSI. For PGDM-IB, Consulting represented 41.8% of offers and Technology, Telecom & Media 36.4%; the report lists 21 technology/media recruiters and 17 consulting recruiters for that programme. These percentages are shares of offers as presented by MDI. They are not shares of graduates placed, and a student’s prior experience, electives and interview performance are not broken out in the report.

The report’s function-wise pages name examples such as Accenture Strategy & Consulting, BCG, Deloitte, EY, KPMG and McKinsey in Consulting & General Management; Goldman Sachs, JPMorgan Chase, Morgan Stanley and Nomura in Finance; and Amazon, Microsoft, SAP, Telstra and Wipro in Operations & IT. The examples show the range of employers named in the report, not a complete recruiter list or a promise that each firm hires from every programme. Source: MDI’s 2024–26 final placement report, pages 4–10.

Batch-wide headlines need their own denominator

MDI reports 157 participating companies for the 2024–26 process, including 75 described as new recruiters. Its overview also lists 189 pre-placement offers and a maximum of 41 offers made by one company. The summary panel separately states a highest CTC of ₹80.20L and a highest international CTC of ₹97.50L. These are different measures: the 41 figure is one company’s offer count, 189 is the number of pre-placement offers, and the two CTC figures are reported highs. None supplies the number of eligible candidates, the number accepting jobs, or the proportion placed. The report’s 586 combined programme batch-size figures therefore cannot be used to calculate a placement rate from these headline counts.

MDI’s separate “Placement Highlights 2025” webpage shows a different set of headline numbers, including 555 students placed, 147 recruiters, 148 pre-placement offers and ₹53.60L highest CTC. The captured panel does not identify a batch beside those numbers. Because its label and figures are not scoped to the named 2024–26 programme cohorts in the final report, the two sources should not be combined into one year-over-year table. The final report is the more useful source for programme-wise comparison because its cohort and programme labels are explicit. Source: MDI’s 2024–26 final placement report, its placement index, and its separate Placement Highlights 2025 page.

How applicants should use the figures

If PGDM, HRM, Business Analytics or International Business is on your shortlist, compare the entire-cohort median first, then use the average and percentile bands to understand how the reported distribution changes higher in the cohort. Do not compare a top-10 average with another programme’s whole-cohort median. The programme sizes also vary substantially: the report lists 31 students for Business Analytics and 313 for PGDM, so the summary statistics describe differently sized groups. The report does not publish programme-level eligible, placed or offer denominators in the sections used here, nor does it show individual salaries, role-level compensation, fixed-versus-variable components or the number of international placements. Highest CTC should therefore be treated as an upper-end result, not a typical package.

For current decision-making, ask MDI for the latest cohort’s placement report, the programme-specific placement denominator, the definition of CTC used for each summary and whether reported offers include multiple offers to one student. If you are choosing a specialisation for a particular career, pair these outcome summaries with the programme curriculum and recruiter-role information rather than treating sector offer share as a direct employment probability. The official report is useful historical evidence, but it does not announce 2027–29 outcomes or guarantee access to a named employer.