What the 2026 placement report measures
IIT Jodhpur’s Office of Training and Placement publishes separate placement statistics for B.Tech and M.Tech passing-out batches. The latest directly available report captured for this guide is labelled 2026. It lists each programme, its passing-out batch, students registered for placement, students placed, and average and median CTC in lakhs of rupees. The figures below reproduce those programme rows; they are historical outcomes for the named batch, not a forecast for a future applicant.
Read the registered and placed columns together. The report does not state, in these tables, the full graduating-class denominator, the number who opted out, the number still seeking work, or the date at which each line was frozen. A placed count divided by registered candidates would therefore describe only that report’s placement-registration subset; it should not be presented as a placement rate for the entire programme. The report also gives no common definition of CTC components, so the average and median should be compared cautiously across programmes and with figures from other institutes.
The report uses LPA for annual CTC, with values in Indian rupees. Average can move sharply when a small number of high offers are included; median is the midpoint measure reported alongside it. Neither figure describes a guaranteed salary or take-home pay.
B.Tech and B.S. outcomes for the 2026 passing-out batch
The report contains programme-specific rows rather than one headline outcome for every undergraduate student. Computer Science and Engineering recorded 85 students placed out of 87 registered, with average CTC of ₹28.73 LPA and median of ₹26.76 LPA. AI and Data Science recorded 47 of 48, with ₹22.80 LPA average and ₹18.00 LPA median. Engineering Science recorded 24 of 24 registered candidates placed, with ₹18.85 LPA average and ₹15.70 LPA median. These are three different programme cohorts and should not be treated as a comparison of all students in the institute.
The two B.S. rows are small registration groups, so their averages and medians may be especially sensitive to a few offers. The report gives no programme-level salary distribution or offer-by-offer detail; a reader should not infer how many candidates exceeded or fell below the median.
M.Tech outcomes for the 2026 passing-out batch
IIT Jodhpur reports a separate set of M.Tech rows. Computer Science and Engineering lists 26 placed out of 29 registered, with average CTC ₹16.28 LPA and median ₹15.00 LPA. Artificial Intelligence lists 24 of 26, with ₹17.23 LPA average and ₹14.75 LPA median. Data and Computational Sciences lists all 10 registered candidates as placed, with ₹12.32 LPA average and ₹12.00 LPA median. These small programme groups should be read as cohort-specific outcomes, not stable programme-level salary expectations.
Some reported medians are higher than their averages, including Chemical Engineering and Intelligent VLSI. That can occur in small cohorts and is a reason to keep the two measures separate rather than “correcting” the institute’s figures. The page does not state a common offer count or explain whether multiple offers are included; the published row’s placed count is the safest denominator to retain.
Career support and questions to ask
The institute’s Office of Training and Placement describes career counselling, résumé workshops, interview preparation and skill development. It also coordinates campus recruitment drives, internships and training, and hosts career fairs, industry talks and networking events. The office lists a mix of core engineering, IT and IT-enabled services, manufacturing, consulting, investment and finance, management organisations and research-and-development laboratories among the sectors it works with. These statements describe the office’s services and employer landscape; they do not promise that every programme will receive the same recruiters or that every student will secure an offer.
When comparing an IIT Jodhpur programme, ask for the latest report for that exact degree and graduating cohort, how many students were eligible and registered, whether the figure counts students or offers, and whether higher studies or students not seeking employment are reported separately. For salary comparisons, ask how CTC is defined, whether domestic and international offers are separated, and whether the median covers placed candidates only. The institute’s 2026 table answers some of these questions but not all, so the missing denominator and methodology should remain visible in any decision.
Applicants should also distinguish B.Tech from M.Tech outcomes and from the School of Management & Entrepreneurship’s MBA reports. The table on this page covers only the B.Tech/B.S. and M.Tech rows in the Office of Training and Placement’s 2026 report. It should not be extended to MBA, Ph.D., other postgraduate programmes, internships, or institute-wide employment outcomes.