The Department of Management Sciences (DoMS), formerly Industrial and Management Engineering, publishes separate placement reports for its MBA and MTech programmes. The latest final reports linked from the department pages that were reviewed cover different cohorts: MBA 2022-24 and MTech 2023-25. Their figures are useful historical evidence, not a forecast for the 2027-28 guide edition or a promise for applicants who enter later. Read each number with its programme, cohort and measure attached.
MBA: final outcomes for the 2022-24 batch
The DoMS MBA placement page links a final report for the 2022-24 cohort. Its placement highlights list a highest CTC of ₹24.0 LPA, a median of ₹19.9 LPA, an average of ₹18.2 LPA, a lowest CTC of ₹12.5 LPA and a separate “Top 50% CTC” figure of ₹20.5 LPA. These are report figures for that graduating batch; they are not the current fee-cycle or expected salary for the MBA class shown on the department’s current student page.
The same report lists 21 recruiters, of which 11 are described as new recruiters. Its industry-wise split of recruiters is reported as Analytics 23%, IT/Consulting 19%, Manufacturing 19%, Operations 14%, Marketing 10%, BFSI 10% and E-Commerce 5%. Treat that chart as a distribution of recruiters, as the report labels it. It is not a distribution of job offers or graduates unless a separate denominator establishes that interpretation.
The report also says median CTC grew 13.5% year on year. It does not give a comparable earlier-batch baseline in the cited statement, so use the percentage as the report’s stated growth rather than recalculating it from another graduating class. The roles listed in the report include Analytics Consultant, Data Scientist, Knowledge Analyst, Business Analyst, Strategy Consultant, Brand Manager, Project Manager, Financial Analyst and Risk Analyst. They show examples of work represented in the report, not a guaranteed role list or a count of offers in each job family.
The report narrative says placements were secured for everyone enrolled through the placement committee. It does not show the eligible, participating and placed counts beside that statement in the sections reviewed here. The reported statement should not be converted into a placement rate with an invented denominator. Applicants comparing outcomes should look for the batch’s placement policy and the exact population included in the report, especially when comparing it with another institute’s disclosure.
MTech: final outcomes for the 2023-25 batch
DoMS’s MTech placement page links its final placement report for the 2023-25 batch. That report records a 100% placement record, a median CTC of ₹17.2 LPA and an average CTC of ₹19.5 LPA for the stated cohort. It also names roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Supply Chain Manager and Operations Analyst. Recruiter examples in the report span firms including Accenture, Mondelez, Ford, Barclays, ExxonMobil, Delhivery and Morgan Stanley.
The report does not provide an eligible-versus-participating denominator alongside the 100% headline in the summary statistic, so this is best described as the institute’s reported placement record for the batch, not an independently recalculated rate. Its median and average refer to the MTech 2023-25 cohort only. They should not be combined with MBA data or read as an institution-wide salary measure.
There is a second period in the same MTech document that needs separate treatment. It includes an internship-statistics section for the 2024-26 batch. Internship participation and stipends, where stated, belong to that internship period; they are not final placement outcomes for the MTech 2023-25 graduating batch. Do not move figures from the internship page into a final-placement comparison just because both appear in one PDF.
How to compare the reported figures
Median and average answer different questions. The median is the middle observation in the reported set; the average can move more when a small number of high offers change. The MBA report also gives a highest, lowest and “Top 50% CTC” figure, which describe different parts of that batch’s distribution. Keep the report’s labels intact rather than treating the figures as interchangeable. The MTech summary reports a median and average but does not provide the same full set of measures in the highlighted block.
CTC is not monthly take-home pay. DoMS reports the numbers in lakhs per annum, so ₹19.9 LPA is an annual CTC measure for the MBA 2022-24 report, not a promise that a graduate receives ₹1.66 lakh in monthly cash. CTC packages can include components with different payment dates and conditions; the report summary does not break the headline into fixed pay, variable pay, joining bonus or benefits. Do not build a personal budget from the headline package alone.
The reported MBA recruiter split gives a view of company categories represented, while the role examples show the kinds of work named in that report. Neither establishes how many graduates entered each sector or role. The MTech report’s sample roles and recruiters provide a separate view of its 2023-25 cohort. These signals help a student ask a sharper follow-up about job functions, work location, fixed compensation and selection requirements, but they do not establish an individual probability of receiving an offer.
What these reports establish for a future applicant
For the 2027-28 guide edition, the usable evidence is historical: the MBA report covers 2022-24 and the MTech report covers 2023-25. The DoMS MBA student page displays a 2026-28 batch, but that roster is not a completed placement report. The MBA placement page also links a 2024-26 summer-placement report; its period is different from final placement and its large PDF could not be opened in this review. No outcome from that file is used here.
The department’s public placement pages describe a recruiter process in which companies submit a Job Announcement Form, arrange a pre-placement talk and conduct their own tests, interviews or group discussions. The page also describes a one-person-one-job rule and a limited “dream company” exception. Those pages are process descriptions, not a guarantee that every detail is unchanged for a later batch. Confirm the rules and recruiter schedule in the current student placement notice before relying on them.
The report series reviewed provides quantitative outcome evidence for MBA and MTech. This article does not extend either programme’s numbers to DoMS PhD, eMasters or the entire IIT Kanpur student body. No 2027-28 graduating cohort result is published in the cited reports. For a personal decision, compare the programme-specific historical metrics with the current curriculum, fee notice and placement policy, and ask DoMS for the population, compensation components and report edition behind any newer figure.