What the latest published placement report tells a 2027 applicant
For applicants planning to join IIT Guwahati in 2027, the important limit is that future outcomes are not available before a cohort graduates. The Centre for Career Development (CCD) index lists a 2025-26 season alongside older annual reports, but the latest full outcome report I could open and examine is for academic year 2024-25. Its placement season began on 1 December. Use its figures as a dated cohort record, not as a forecast or promise for the 2027 intake. Check the CCD placement-report index for a later completed report before relying on a newer number.
In the 2024-25 report, 1,001 of 1,606 registered students were placed, and IIT Guwahati reports an overall placement percentage of 62%. The published rate is calculated against registered students, not the entire graduating class. The report also records 193 pre-placement offers (PPOs) and a highest CTC of ₹1.25 crore. The headline highest package describes one offer; it should not be used as a typical outcome. A better starting point for comparison is the relevant programme’s placement rate and median salary, with its reporting denominator kept in view.
Programme rates vary, and the registration count matters
The overall discipline table gives a quick comparison of registered students and placed students for the 2024-25 cohort:
These rates show why an institution-wide headline is not enough to compare a particular course. Within BTech, the report lists Computer Science and Engineering at 90.68% (107 of 118 registered), Mathematics and Computing at 90.79% (69 of 76), and Data Science and Artificial Intelligence at 90.91% (20 of 22). These high rates come from smaller programme cohorts than the overall BTech denominator. In the same report, Civil Engineering was 66.33% (65 of 98), Mechanical Engineering 69.61% (71 of 102), and Engineering Physics 59.62% (31 of 52). The 2024-25 snapshot is useful for understanding variation, but one year does not establish a permanent branch ranking.
Postgraduate outcomes also differ by specialization. The report highlights MTech VLSI and Nanoelectronics at 91.67% (11 of 12 registered) and Power Engineering at 83.33% (5 of 6). Those percentages are based on very small groups. Other MTech rows are materially lower: Computer Science and Engineering was 78.57% (44 of 56), while Transportation Systems Engineering was 11.11% (2 of 18) and Water Resources Engineering and Management recorded no placements among 13 registrants. These are historical results for the listed programme cohorts, not an assessment of course quality or future hiring prospects. When a branch has a small denominator, look at both the count and percentage rather than reading the percentage alone.
Salary statistics describe placed students, not every registrant
The report’s overall compensation table gives median and average CTC for placed students. For BTech it reports a median of ₹20.44 lakh per annum and an average of ₹25.21 lakh; for BDes, ₹23.28 lakh median and ₹28.42 lakh average; for MTech, ₹11 lakh median and ₹14.17 lakh average. MBA is ₹10 lakh median and ₹11.43 lakh average, while MSc is ₹8 lakh median and ₹10.28 lakh average. CTC is not the same as take-home pay: it can include components beyond fixed monthly salary, so compare offer structures before translating these figures into a personal budget.
The report explicitly says its compensation figures are calculated using data of students placed. That matters when reading salary alongside placement percentage: the salary median does not apply to all students who registered, and it does not imply everyone received a job at that level. There is also a denominator difference inside the report: the discipline table counts 637 BTech placements and 213 MTech placements, while the compensation table reports salary data for 632 BTech and 209 MTech placed students. The report does not explain the difference. Keep the salary sample counts attached to salary statistics rather than treating them as the full placed count.
The BTech compensation pages show variation by discipline as well. The report gives CSE median CTC of ₹34.1 lakh, Mathematics and Computing ₹25 lakh, Data Science and AI ₹25 lakh, Civil Engineering ₹17 lakh, and Mechanical Engineering ₹17 lakh. These are medians among placed students with reported salary data for 2024-25, not a guarantee, starting salary for every graduate, or current offer rate. The report’s own BTech table has 118 CSE registrants and 107 placed, while its salary table does not repeat those denominators alongside each salary figure; use the placement and compensation tables together, but do not assume they have identical samples.
Recruiters, sectors and what the report cannot predict
CCD’s 2024-25 report describes recruitment across IT/software, core engineering, education technology, design, finance, data science, consulting and other profiles. It records approximately 260 participating companies and provides a recruiter list. Sector shares in the report describe that season’s reported offers, not a guaranteed distribution for the next graduating batch. Recruiter names show who participated in that year, not that each company will return or hire from every discipline in 2027. The official 2024-25 placement report is the source to inspect for the full branch tables, sector profile, compensation tables and recruiter list.
For a practical comparison, shortlist the exact department or specialization, note its registered and placed counts, then check the placed-student salary sample and median. Compare more than one annual report if the same programme’s trend matters, and distinguish on-campus recruitment data from internship offers, PPOs and external job outcomes. Ask the department or CCD whether the programme’s current cohort has a newer report when only 2024-25 figures are publicly downloadable. If the institute has posted a later report on its index, use that report’s own cohort and denominator rather than updating an older row by assumption.
The 2024-25 report is useful because it exposes programme-level variation and states its salary basis. It does not establish future outcomes, explain every denominator difference, or guarantee a placement, role, package or recruiter for a 2027 entrant. Read it as one carefully scoped outcome snapshot and verify the newest completed cohort before making a final decision.