MDI Murshidabad Placements: Latest PGDM Outcomes and Cohort Context
Latest published final placements: PGDM 2024–26
The latest final-placement snapshot on MDI Murshidabad’s official placement page is for the PGDM 2024–26 batch, labelled Year 2026. The institute reports a highest package of ₹15 lakh per annum and an average of ₹10.93 lakh per annum. Its final placement report gives the median as ₹11.2 lakh per annum. These figures describe different points in the batch outcome: the highest is the top reported offer, the average is the mean, and the median is the midpoint. A median above the average means the centre of the reported distribution is higher than its arithmetic mean; it does not show how many students received each salary band.
The 10-page report identifies a batch strength of 113. That is the report’s cohort-size figure, not a placement-rate denominator: the report excerpt does not provide a count of students placed or a percentage of the batch placed. It also records 86 total recruiters and 38 new recruiters for the placement season. Those are recruiter counts, not offer counts, and a new recruiter is not necessarily a student outcome. Applicants should keep the labels attached when comparing this report with other institutes’ statistics.
Recruiter and role mix
MDI’s report describes participation across BFSI, IT, hospitality, manufacturing, FMCG, ITES and other sectors. It says BFSI was the most sought-after domain and accounted for 55 offers. This is an offer count within the reported placement season, not a count of 55 recruiters or a promise that a student will receive an offer in banking. The report also lists roles across marketing, finance, operations and human resources, including sales, business analysis, consulting, purchase, program management, credit analysis and HR learning-and-development work. These examples show the variety of job functions represented in the batch report; they are not a guaranteed placement menu for each specialization.
The report’s domain-wise graphic lists Marketing at 63.8%, Finance at 12.6%, Others at 11%, HR at 10% and Operations at 2.6%. It is a distribution in the report’s domain-wise section, not a programme-wise placement rate. The page does not explain that each percentage uses an individual specialization’s graduating class as the denominator. Use it as a report-level description of the recorded role mix, and do not translate it into a claim that 63.8% of all students were placed in marketing. The separate sector breakdown should not be mixed with this domain chart: one describes employer sectors and the other job domains.
How the published numbers compare over time
The institute’s official page also lists earlier final-placement snapshots. For PGDM 2023–25 (Year 2025), it reports a highest package of ₹20 lakh per annum and an average of ₹12.75 lakh per annum. For PGDM 2022–24 (Year 2024), it reports ₹13 lakh as the highest and ₹10.67 lakh as the average. The listed Year 2023 result for PGDM 2021–23 is ₹20 lakh highest and ₹12.67 lakh average; Year 2022 for PGDM 2020–22 is ₹14 lakh highest and ₹11.32 lakh average.
These are separate two-year cohorts and separate placement years. They should be read as a historical series, not combined into one current salary range. In particular, a highest package can move sharply from one cohort to the next while the average follows a different pattern. The institute’s page and report provide no basis to project these past values onto the next incoming class. For an applicant assessing current prospects, the 2024–26 report is the most recent final-placement snapshot in the sources checked for this page; confirm whether a newer report has since been posted before relying on it.
What to verify before using a placement figure
Ask which cohort, placement year and measure a headline number describes. MDI’s newest cited cohort has a ₹15 lakh highest, ₹11.2 lakh median and ₹10.93 lakh average; substituting one for another changes the meaning. Check whether a comparison uses final placements or summer internships, the graduating batch size, students seeking placement, the number of offers, or employer counts. MDI publishes separate internship information, and those stipend outcomes should not be compared directly with annual salary packages.
The sources used here do not establish a student-level placement probability, a specialization-level median, or a guaranteed salary. They also do not state in these headline sections how many offers were accepted, whether multiple offers per student are counted, the share of students opting out, or a detailed compensation-component definition. The annual package figures are reported as per-annum packages; no conversion or extrapolation is applied. Treat the report as a dated institute-reported snapshot and request the underlying cohort-specific report or placement office clarification when a denominator or salary definition matters to your decision.
An LPA figure is an annual package headline, not a monthly salary or a take-home estimate. The highlighted placement page and report page do not break the headline into fixed pay, variable pay, joining bonus, benefits or deductions, so they cannot answer how much a graduate receives in hand each month. Ask for the reporting definition and compensation components if that distinction affects a budget decision. This caution is especially useful when comparing an institute’s highest package with another school’s median or average: different labels and cohorts are not like-for-like measures.
The recruiter figures also need their own denominator. The 86 total recruiters and 38 new recruiters describe organizations participating in this season; they do not indicate how many offers were made, how many students applied to each employer, or how many offers students accepted. Likewise, 55 BFSI offers describe offers in that sector, not necessarily 55 distinct students. The report gives useful scale and mix, but not a complete student-by-student distribution. Use the metrics to frame questions about the cohort and roles, not to estimate an individual admission return.









































































