Undergraduate outcomes reported for 2024-25
IIT Ropar’s 2024-25 placement report separates undergraduate and postgraduate statistics. In the UG section, it lists 326 registered students, 321 actively participating students, 257 job offers made and 85 pre-placement offers. It reports an average CTC of ₹23.07 lakh per annum and a median CTC of ₹18 lakh per annum for the UG group. These figures use different units: registered students, active participants and offers are not interchangeable counts. In particular, 257 offers should not be divided by 326 and labelled a placement rate; a student may receive more than one offer, and the report distinguishes participation from offer counts. IIT Ropar Placement Report 2024-25.
The average and median answer different questions. The average can be pulled upward by a small number of high offers, while the median is the middle reported value for the group used in the report. Neither figure is a promised salary, take-home pay, or guaranteed outcome for an incoming student. CTC can combine salary and other components; compare it with another institute only when the same cohort, metric definition, eligible pool and reporting basis are used.
Postgraduate outcomes are reported separately
For its PG group, IIT Ropar’s report lists 200 registered students and 200 actively participating students, 69 offers accepted, an average CTC of ₹13.11 lakh per annum and a median CTC of ₹9.5 lakh per annum. The report’s measure is offers accepted for PG, while the UG extract lists offers made and pre-placement offers. Do not add the groups together or compare their offer counts as if the underlying measure were identical. IIT Ropar Placement Report 2024-25.
The report’s cohort-wide UG and PG figures do not establish placement probability for a specific branch, programme, graduation year or individual. The published report also lists recruiters by sector, which can help readers understand the range of organizations participating in that reporting cycle, but it does not guarantee that a named employer will recruit in a future year or for every programme. Review any branch-specific claim against a table that explicitly states the branch, cohort, denominator and definition; the figures presented here are aggregate groups.
How to use historical placement data
Treat 2024-25 as a historical cohort, not a prediction for students entering in 2027-28. Employer participation, hiring conditions, programme size, eligibility to sit for campus recruitment and student choices can change between years. A placement report is most useful for asking informed questions: which cohort is included; how many students registered and actively participated; whether offers are made or accepted; whether the figure is average or median; and what components the CTC includes.
Before relying on a number, locate its definition in the report. Keep the source’s own denominator and label attached to it. Do not infer that every enrolled student participated, or that each offer corresponds to a different student. Do not compare UG and PG without matching the unit. If a report gives an employer list but no outcome by programme, it supports recruiter participation in that cycle, not branch-level outcomes. If a statistic is not shown, this page leaves it unknown rather than estimating it from a nearby number.
A useful comparison starts with the population behind the result. The UG report gives both 326 registered and 321 active participants, then reports offers made and PPOs; its average and median are reported for the UG group. The PG section reports 200 registered and active participants and counts accepted offers. These labels tell a reader that participation is not identical to offers, and an offer count is not a headcount of distinct employed graduates. The published summary does not let us infer each person’s outcome from the aggregate counts.
CTC should also be read as the report’s compensation measure, not as monthly take-home salary. A prospective student should ask whether a comparison uses fixed pay, variable pay, joining bonus or other components, and whether the same definition is used across reports. The source summary does not break down every component, so this page does not estimate net pay or compare adjusted salaries. Likewise, a headline average can differ substantially from the median; reading both gives more context than selecting only the largest number.
The report presents university-wide UG and PG groups here. It does not support claims that Computer Science, Mechanical Engineering or any other single branch has the same outcome as the aggregate. Students can use the figures to frame questions for career services, then seek programme and cohort evidence with the exact denominator and measure disclosed.
Questions for a prospective student
For a programme-specific view, ask IIT Ropar’s Career Development and Placement Cell which recent report covers your intended programme and graduating cohort, and whether its published denominator includes all enrolled students or only eligible and participating candidates. Ask how the report defines average and median CTC, whether multiple offers are counted, and whether offers accepted or offers made are being reported. If you are considering a core engineering discipline, request data that identifies that discipline rather than applying an institute-wide UG median to it.
Also compare internship and placement information separately. The 2024-25 report summarized here does not establish current internship availability, future employer demand, compensation after tax, or a guaranteed job. Use it as historical context alongside programme fit, curriculum, location, and the current career-services guidance. The strongest comparison is one that keeps the cohort year, programme, metric and denominator consistent across institutions.