Placement outcomes for IIM Raipur’s PGP 2023–25
IIM Raipur’s latest linked Final Placement Report, PGP 2023–25 is a completed cohort report, not a forecast for current applicants. Its foreword says 347 students registered and were eligible for placement. It reports that 328 accepted offers; the remaining students had also been offered placements but were exploring other opportunities. That distinction matters: 328 is the report’s accepted-offer count, not the number of all students who received an offer. The institute describes the graduating group as the PGP batch, so the figures should not be assigned to the MBA in Public Policy, doctoral programmes, or a future PGP intake.
For those who accepted offers, the report gives an average CTC of ₹18.83 lakh, a median CTC of ₹18.40 lakh and a highest CTC of ₹33.12 lakh. These are the report’s stated compensation measures for the accepted-offer group. They are not take-home salaries: CTC can include components beyond recurring cash pay, and the report does not break down every student’s fixed pay, variable pay, joining bonus or benefits in the summary. The median is the midpoint measure and is less affected by a small number of high offers than the average. Neither figure promises what a later cohort will receive.
The report also says 132 recruiters participated in the final placements. This is a recruiter count for the PGP 2023–25 final placement process, not a count of unique jobs or offers, and it should not be read as an annual hiring guarantee. The foreword describes a difficult market environment and says students received opportunities across several functions and sectors. That context helps explain why an accepted-offer count and an offer count are not interchangeable.
How the report classifies the accepted offers
The report presents the same 328 accepted offers in two different breakdowns. By sector, it lists 107 in IT/ITES (33%), 76 in BFSI (23%), 55 in manufacturing (17%), 40 in FMCG/FMCD (12%), 27 in strategy and consulting (8%), and 23 in “Others” (7%). Those categories sum to 328. By functional domain, it lists 105 in sales and marketing (32%), 70 in financial management (21%), 57 in operations and IT (17%), 52 in analytics and consulting (16%), and 44 in general management (14%). Those categories also sum to 328. Sector and domain are two views of the same placement cohort; adding the columns together would double-count people.
The difference between the two tables is useful when comparing a student’s likely work with an employer’s industry. For example, “financial management” is a job-function category, while “BFSI” is a sector. The report does not publish a cross-tab showing which functions sat inside each sector, nor does it show how many people entered a particular company. Its employer lists are examples of prominent recruiters in each category, not evidence that every listed firm hired a particular number of graduates or will recruit in a future year.
The sector table reports average and highest CTC by sector. For accepted offers, it gives an average of ₹18.63 lakh in BFSI, ₹17.63 lakh in FMCG/FMCD, ₹18.89 lakh in IT/ITES, ₹18.03 lakh in manufacturing, ₹16.68 lakh in strategy and consulting, and ₹21.09 lakh in “Others.” The corresponding sector highs range from ₹18 lakh in strategy and consulting to ₹33.12 lakh in “Others.” These category averages use the report’s own groupings and do not mean an individual in a sector will receive that amount. The report does not publish a median for each sector in this table.
The domain view gives different averages: ₹18.98 lakh for analytics and consulting, ₹17.66 lakh for financial management, ₹23.69 lakh for general management, ₹19.90 lakh for operations and IT, and ₹16.91 lakh for sales and marketing. The corresponding highest CTCs range from ₹20.01 lakh in sales and marketing to ₹33.12 lakh in general management. Because the tables group the cohort by different dimensions, readers should use one table at a time and keep the distinction between overall median, overall average, and group average clear.
What to compare before choosing a programme
Placement outcomes are only one input to a decision. A prospective student should first confirm that the report covers the programme and cohort they are considering, then compare the roles and functions represented with their own goals. Someone targeting finance may find the domain table more informative than the overall highest CTC; someone comparing employer industries may find the sector table more relevant. The report’s sector and domain shares describe the composition of accepted offers, not the probability that a new student will enter that category.
The report covers PGP 2023–25, while the current flagship admission and fee pages describe later cycles. A change in cohort, economic conditions, eligible-student count, recruiter demand or the treatment of offers can change published outcomes. Applicants should use the latest completed placement report for historical context and ask the institute’s placement office for the methodology behind any figure they need to compare, especially the compensation components and denominator. The public report does not provide enough detail to calculate net salary or compare an individual offer after tax.
IIM Raipur’s official placement report index links the 2023–25 report alongside earlier reports, including PGP 2022–24. A year-to-year comparison is only meaningful when the report edition uses comparable programme scope, cohort definition, accepted-offer denominator and salary components. This page therefore uses the latest linked completed report and keeps its numbers labelled by cohort rather than presenting a trend assembled from potentially different bases.
Reader checklist
- Treat ₹18.40 lakh median and ₹18.83 lakh average as reported CTC for the accepted-offer group in PGP 2023–25.
- Keep the 347 eligible students, 328 accepted offers and 132 recruiters as separate measures.
- Use either the sector breakdown or the domain breakdown; they describe the same 328 offers from different angles.
- Do not treat a sector average, highest CTC, recruiter list or historical percentage as a personal outcome forecast.
- Check a later completed report before applying these historical figures to another cohort.