PUMBA placements: read the report edition and cohort label
PUMBA hosts two placement-report PDFs with the same 2022-24 batch label, and their reported outcome figures differ. The August copy's 2024 average-CTC chart value agrees with its ₹11.23 LPA average callout; its ₹12.2 LPA figure is labelled as the top-50% average. The October copy labels ₹9.40 LPA as the average and ₹10.84 LPA as the top-50% average. The reviewed pages do not establish which copy, if either, supersedes the other or provide a current placement forecast. The department's MBA Placement Dossiers page currently displays “Coming Soon,” so applicants should request the report for the programme and batch they are evaluating.
Two official copies, different headlines
The PUMBA-hosted copy dated 12 August 2024 labels its report “Placement Report for The Batch Of 2022-24.” Its first-page figures are labelled highest CTC ₹19 LPA, top-10% average ₹15.4 LPA, top-50% average ₹12.2 LPA and average ₹11.23 LPA. The same page's average-CTC-by-year chart labels 2024 at ₹11.23 LPA, matching the average callout.
A second PUMBA-hosted copy, identified by “14102024” in its filename and carrying the same 2022-24 batch title, gives different figures: highest ₹16.22 LPA, top-10% average ₹15.42 LPA, top-50% average ₹10.84 LPA and average ₹9.40 LPA. That copy also reports placement at 80.7% and 171 participants.
Both files are hosted by PUMBA and carry the same named batch, but the figures differ across editions. The reviewed pages do not explain whether one is a draft, an update, a different calculation or a separate reporting cut. The filename markers distinguish the copies; they do not establish which is definitive. Ask PUMBA which report should be cited and which definitions and denominator it uses. The figures here describe what each copy labels; they do not establish one accepted outcome for the batch.
The date embedded in a filename is useful for distinguishing the copies, but it does not itself explain what changed between them. A later file could be a correction, a revised data cut or a separately prepared summary; the material reviewed does not identify which. Preserve the full URL and PDF when discussing a result, rather than quoting a number without its edition. If an applicant receives a response from the department, record whether it confirms a final edition, corrects a figure or supplies new cohort data.
What the figures can and cannot tell you
An average, a top-half average, a top-decile average and a highest offer are different measures. A top-group average describes a selected part of the distribution, while the highest result is one observation. None alone tells an applicant what a typical result is for a particular course, specialization or role. The conflict across these PUMBA copies makes that distinction especially important: even apparently clear headline labels need to be read alongside the report edition and any accompanying chart.
The figures are stated as CTC in lakh per annum. CTC is not the same as monthly take-home pay. Before using a headline figure for financial planning, ask how fixed and variable components, joining or retention payments, benefits and other components are counted. The PDFs reviewed here do not provide a detailed salary-component methodology, so a reader should not infer a take-home amount from the reported CTC.
For a financial comparison, separate the package headline from the salary that is paid regularly. A role with a large performance-linked component can differ from one with a higher fixed monthly amount even if both display the same CTC. Ask whether the report includes one-time joining payments or benefits, whether the value is annualized, and whether the amount is the offered or accepted compensation. The source copies do not resolve these details; they are questions for the placement cell, not assumptions to fill from the headline.
The October copy reports a placement percentage and participant count, but it does not define the denominator in the figure visible on the page. Before comparing that percentage with another college, ask how many students were eligible, how many participated, how many accepted offers, whether multiple offers are counted and whether the metric covers the same course and batch. Do not convert the printed percentage into a placed-student count without a confirmed denominator.
Participant count, eligible-student count and graduating class size are not interchangeable. A placement percentage can exclude students who did not register, were not eligible under the placement rules, pursued further study or used another route. The October document's 171 participants and 80.7% figure are source-reported labels; without the denominator definition, they do not show how many students in the entire batch obtained jobs. Request those counts and the reporting rule before drawing conclusions about coverage.
The reports' sector and recruiter context
Both copies show 140+ companies visited and the same visible sector shares: 27% BFSI and NBFC, 16% IT, 14% manufacturing, 10% research and consulting, and 8% FMCG and retail. These are the sectors displayed on the report page; the five listed shares do not describe every sector or establish how the percentages were calculated. They are historical report context, not a guarantee that those industries or employers will recruit in a later year.
The sector percentages are useful as a description of the report's own visual summary, not as a programme-wise distribution or a measure of placement quality. They should not be summed into a complete sector split because the page does not say that the displayed categories exhaust all activity. Ask whether shares are based on offers, recruiters, companies or student placements, and which reporting period is counted. A sector percentage does not say what roles were available or how many students entered that industry.
The PDFs also display a prominent recruiter list, including banks, financial-services companies, consulting firms, manufacturers, retailers and technology employers. A name on a past report indicates inclusion in that report's recruiter panel, not that the firm visited every year, hired from every programme or will have a vacancy for a particular candidate. The separate recruiter-list page on PUMBA's site is not tied to a reporting year in the text reviewed, so it should not be read as a current placement schedule.
For a more useful recruiter comparison, ask for role and cohort details: which programme the employer visited, what roles were offered, how many students were selected and whether the reported package was fixed or variable. A long company list can show breadth of historical participation, but it cannot replace programme-wise placement outcomes or role descriptions for the year you care about.
The placement report lists roles such as financial and credit analysis, consulting, business analysis, product or project management, supply chain, HR and market research. These are examples named in the report copy; they do not establish that each role was open to every student, offered in every year or filled in the same number. Applicants interested in a particular field should ask for the recent role descriptions, hiring criteria, location and internship pathway rather than infer career access from a recruiter name alone.
Official dossier status and current-year evidence
PUMBA's MBA Placement Dossiers page is titled “MBA Placement Dossiers” and its current text shows “Coming Soon” for two links. It does not supply a current cohort table in the content reviewed here. The historical PDFs therefore remain dated references rather than evidence of 2024-25, 2025-26 or 2026-27 outcomes.
The source set reviewed for this page does not establish a current MBA placement rate, a current median salary, programme-wise eligible-student counts, a current batch's highest offer or placement support details for PBT, Executive MBA or BBA students. No value should be carried from the 2022-24 reports to a new cohort. A new report with a clear batch label, reporting date, programme, denominator and salary methodology would be needed for a current comparison.
Questions to ask PUMBA
When requesting the final placement report, ask which PDF edition applies to the named batch and whether it supersedes the other copy. Ask the placement cell to confirm which report should be cited and explain the differences between the August and October documents, including their average and top-50% figures. Request a written definition of average CTC, top-50% and top-10% groups, highest CTC, participants and placement percentage.
For your own programme, ask whether the report covers the same course and batch, how many students were eligible and participated, how many accepted an offer, and how multiple offers or students pursuing higher studies are handled. Ask whether packages include variable pay and how roles, sectors and company visits are counted. If the department cannot provide a programme-specific breakdown, treat the headline as broad historical context rather than an individualized outcome estimate.
Compare colleges using like-for-like data: same academic cohort, same programme level, similar reporting period, compatible salary definition and the same denominator. Keep the source PDF and any clarification together. If a public PDF conflicts with another official copy, document the conflict instead of selecting one result to support a return-on-investment claim.
Also compare what the placement figures omit. A salary statistic alone does not describe the curriculum, role fit, internship experience, location, student workload or the share of graduates who chose another path. Request information that answers the applicant's actual question: programme-specific offers for the batch, median or distribution where available, accepted versus unaccepted offers, internship conversion and role descriptions. If only a visual summary is available, treat it as an entry point for a question rather than a complete placement study.
When a college publishes successive summaries for a cohort, version control matters. Confirm which report is final, whether it includes later offers, and whether any updated chart uses a revised denominator. If the department provides a corrected report, retain both the earlier and later documents with their publication dates and note which one it says should be cited. This avoids a future reader repeating a superseded number while keeping the reason for the change traceable.
What is established
PUMBA publishes at least two official-hosted report PDFs labelled for the 2022-24 batch, and their top-line outcome figures differ. In the August copy, the 2024 chart value agrees with the average callout. Both versions display 140+ companies and selected sector shares. PUMBA's MBA Placement Dossiers page currently says “Coming Soon.” These points support a careful account of the available evidence, but they do not produce one verified average, one current placement rate or a forecast for prospective students.
The safest comparison is therefore a dated, programme-matched report with a named cohort and clear definitions. Until such a report is available, the two PUMBA PDFs should remain identified as conflicting historical sources. Their figures can guide follow-up questions, but they do not support one settled average or a promise of future placement.
When you save a copy for comparison, retain the report title, the date or filename that distinguishes the edition, and the page containing the figures. This makes it possible to verify whether a later response refers to the August PDF, the October PDF or a new document. A number copied without that context cannot be traced back to the version that produced it.