Read placement figures by reporting method and graduating group
NIT Warangal publishes more than one kind of placement number. Its on-campus placement statistics report a placement year, programme-wise eligible students, campus placements and CTC in lakhs per annum (LPA). NIRF’s institute-submitted Engineering data instead groups outcomes by programme duration and graduating cohort, and reports graduates in minimum stipulated time, placed graduates, higher studies and a median salary amount in rupees. These tables answer different questions. Do not combine them into a single “placement rate” or treat the NIRF salary amount as an annual package when the report does not state a period.
The latest fully readable programme-wise on-campus table located here is for placement year 2024-25. NIT Warangal’s CCPD page also lists a placement-statistics item for AY 2025-26 dated 30 June 2026, but the figures in that newer item were not verified from its linked file for this article. Use the exact programme, denominator and unit shown on the source before quoting any newer figure.
Institute placement-year data: on-campus placements in 2024-25
In the institute’s 2024-25 table, the B.Tech cohort has 806 students, 697 on-campus placed and a reported on-campus placement percentage of 86.48%. For PG programmes grouped in the same summary, 740 students and 561 on-campus placements correspond to 75.81%. The institute explains that the “eligible” denominator includes students with CGPA of at least 6.5 who participated in all campus placement drives. It also says a student below 6.5 who received a company offer is counted in both placed and registered totals. Therefore, the percentage is tied to the institute’s eligible pool and its stated rule; it is not the share of every enrolled student who obtained any job, nor does it include every off-campus outcome.
Branch figures show why one campus-wide median can hide meaningful differences. In B.Tech Computer Science and Engineering, 130 of 137 eligible students were placed on campus, or 94.89%, with a median CTC of 20 LPA. Mechanical Engineering reported 97 of 113 eligible, or 85.84%, and a 12.46 LPA median. Biotechnology reported 33 of 53 eligible, or 62.26%, and an 8 LPA median. These are institute-reported programme-year figures; they describe that placement cycle and should not be read as a forecast for a future graduating batch.
The same placement-year table includes postgraduate programmes rather than treating every PG student as one comparable group. For example, its MBA row reports 22 of 35 eligible students placed on campus, 62.86%, and a 9 LPA median CTC. The MCA row reports 49 of 53 eligible, 92.45%, and a 12.36 LPA median. M.Tech figures vary by specialization; the source lists a separate eligible count, placed count and CTC distribution for each specialization. Compare only rows with the same programme and year, and note that a small cohort can make a median sensitive to a few offers.
The table labels its CTC measure in LPA, meaning lakhs per annum. Its maximum, minimum, median and average are different statistics: a maximum offer is not a typical outcome, while the median is the middle of the reported offers in that row. The median is also not a guarantee of fixed take-home pay. CTC may include components beyond monthly salary, so compare the employer’s written offer and compensation structure when evaluating an offer.
NIRF submitted outcomes: three graduating cohorts
The NIRF 2025 Engineering submission from NIT Warangal presents three earlier cohorts separately. For UG four-year programmes, the 2021-22 row reports 869 graduates in minimum stipulated time, 639 placed and 62 selected for higher studies; its rupee median salary amount is ₹15,92,000. In 2022-23, the corresponding figures are 1,064, 872 and 79, with ₹15,00,000. For the 2023-24 cohort, they are 909 graduates, 650 placed and 93 higher-study selections, with a median salary amount of ₹14,20,000.
The PG two-year rows also differ by graduating year. NIRF records 542 graduates, 336 placed and 45 selected for higher studies in 2021-22, with a median amount of ₹11,75,000. For 2022-23, it records 542 graduates, 452 placed, 43 higher-study selections and ₹10,00,000. For 2023-24, the row gives 539 graduates, 356 placed, 105 higher-study selections and ₹10,00,000. The table’s header says “Median salary of placed graduates (Amount in Rs.)”; it does not specify that these amounts are annual. They should be quoted as rupee amounts in the NIRF submission, not relabelled as LPA.
As a simple denominator check, 650 divided by 909 is about 71.5% for the NIRF 2023-24 UG four-year row, and 356 divided by 539 is about 66.0% for PG two-year. This calculation uses all graduates recorded in minimum time as the denominator, not only candidates seeking a job or meeting campus placement eligibility. It is therefore a cohort placement share under the NIRF table’s definitions, not directly comparable with the institute’s 2024-25 eligible-pool percentages. The figures are separated by source, year, programme duration and denominator so a reader can make that distinction.
How to use these figures when comparing programmes
Start with the programme you plan to study. For the institute placement report, compare the same placement year, specialization, eligible count and CTC unit. For NIRF, compare the same report edition, graduating cohort and programme duration. A four-year UG outcome is not interchangeable with a two-year PG outcome, and a salary median from one system should not be substituted for another system’s measure. Also check whether the table counts only on-campus placements or includes off-campus placements; NIT Warangal’s placement table says that some students secured off-campus opportunities and others chose higher studies, outside the on-campus totals.
Ask the placement cell for the current programme-wise report if the latest year matters to your decision. Check its publication date and table definitions before relying on a headline maximum or institute-wide percentage. For your own expected outcome, look at the relevant branch or programme cohort and use the median as a summary, not a personal prediction. If a current report does not publish a figure for your programme, do not fill the gap with a campus-wide value or a value from a different qualification.