Read the placement headline with its missing cohort context
IMS Ghaziabad’s placement page currently highlights a highest salary of ₹41 LPA, a median of ₹9.5 LPA and 185+ companies visited. These are institute-published headline figures, but the page does not attach them to a named graduating batch or define the population behind each count. The page title and its placement section do not establish whether the median and highest figure refer to one completed batch, a placement cycle still underway or another reporting window. Treat them as current page claims, not a guaranteed result for the 2027-29 PGDM batch.
A separate, more structured source is IMS’s NIRF 2025 data submission. It reports three PG two-year programme cohorts, with graduates in minimum stipulated time, students placed, median salary in rupees and higher-study counts. For 2023-24, it lists 267 graduates, 267 placed and ₹8,50,000 as the median salary of placed graduates. That filed cohort value is not the same as the unlabelled ₹9.5 LPA headline. Since the public placement page does not identify its cohort or calculation method, the two figures cannot be treated as directly comparable or used to infer a trend.
What the three NIRF cohorts report
These are the institute’s submitted NIRF figures for the PG two-year programme category, not a forecast for applicants. The placement denominator should be read alongside the reported graduates in minimum stipulated time, while students counted for higher studies are shown in a separate column. Do not substitute the first-year intake or admission counts for the graduate cohort; those are different stages in the same form.
The median is more useful than the highest salary when you want a picture of the middle of a reported distribution, but it still needs a defined cohort and method. A highest-salary figure describes one top observation, not the salary most students receive. The NIRF submission supplies a cohort label and counts; the headline placement page supplies a more recent-looking set of promotional figures without an accompanying cohort label. Read both with those different limits visible.
Sector mix and job examples are not a count of offers
IMS’s placement page shows a sector-wise distribution: FMCG/FMCD 25%, consulting 18%, banking 17%, IT and services 14%, NBFC 11%, logistics 6%, manufacturing and automobile 4%, retail 3% and e-learning 2%. The displayed shares add to 100%, but the page does not state the batch or whether the split is based on accepted offers, roles, companies or another measure. Use it to understand the mix the institute presents, not as a forecast of sector-specific hiring for your own cohort.
The same page gives examples of profiles such as tax consultant or advisory, relationship manager, fund accounting, financial analyst, project consultant, human-resource trainee, marketing manager, research analyst, management trainee, territory sales manager, credit officer and data analytics. These examples show the range of role names represented in the institute’s account. They do not say how many students entered each role, what each role paid or whether every specialization has equal access to them.
The recruiter list includes large consulting, consumer, banking, technology and logistics names. A logo or company name on the page is evidence that IMS identifies that organization as a prominent recruiter; by itself, it does not establish the number of hires, repeated hiring in each batch, role quality or a placement guarantee. Ask for the current batch’s offer-level or cohort-level report if those details affect your choice.
Questions to ask before comparing PGDM offers
Request the placement report for the exact graduating batch under consideration. Ask how many students were eligible, how many were placed, how the institute defines the median, whether salary means fixed pay or total CTC, and whether students with multiple offers are counted once or by offer. The public placement page currently shows no method note alongside its ₹9.5 LPA median, ₹41 LPA highest salary or 185+ company count, so do not fill those gaps by borrowing definitions from another institute or report.
Then compare the institute’s batch-specific placement figures with the programme’s published fee schedule and your own likely financing cost. A headline highest package cannot tell you whether your expected role is likely to cover tuition and living expenses. Use the median and placement counts only after the cohort and salary basis are clear, and keep the NIRF historical cohort data separate from any newer but unlabelled page headline.
For applicants entering in 2027, the useful next step is to request a dated report and ask whether the latest public headline applies to the most recently completed batch or a different cycle. Until IMS identifies that reporting window, its current page provides a broad institutional snapshot, while NIRF 2025 provides a dated historical cohort series. Neither source is a promise of an individual offer.
A useful written request should ask for the batch name, graduating-student count, eligible-student count, number placed, number choosing further study, salary measure and date on which the report was closed. Ask whether the institute reports fixed compensation separately from variable pay and whether the stated top salary is one student’s accepted offer. These details make it possible to compare like with like rather than combining a historical disclosure with a marketing headline.