Reading college placement data honestly
Indian college placement marketing is famously misleading. "₹2 Cr highest CTC!", "100% placement!", "Top recruiters Google + MS!". These are technically true and decision-useless. Here's how to read them.
Honest median packages — top tiers
Median = middle 50%. Not "highest", not "average" (which is skewed by outliers). Sources: published placement reports cross-checked with student forums (Pagalguy, Quora, anonymous IIM placement spreadsheets).
- Top IITs (Bombay/Delhi/Madras/Kharagpur/Kanpur) — CSE₹22 - ₹28 LPA
Median, not headline. Top decile ₹50 LPA+ but heavily concentrated in CS/Math + foreign placements.
- Top IITs — other branches (Mech, Civil, Chem, Met)₹12 - ₹18 LPA
Substantial gap from CSE within same college. Most non-CSE IITians don't do core engineering jobs anymore.
- Old NITs (Trichy, Surathkal, Warangal, Rourkela) — CSE₹14 - ₹20 LPA
Slightly below top IIT CSE. Same product/service split logic.
- Old NITs — other branches₹7 - ₹12 LPA
Solid but well below CSE.
- Tier-2 Engg (mid NITs, IIIT-A, IIITH, BITS, COEP, JU, etc.)₹6 - ₹12 LPA
Strong dev-job pipelines at Indian product companies + service majors.
- IIM-A/B/C/L (MBA)₹32 - ₹38 LPA
Median. ROI on IIM tuition (~₹25-30L over 2 years) genuinely strong here.
- Other IIMs (Tier-1 newer) — MBA₹22 - ₹28 LPA
Below ABCs but still strong placement infrastructure.
- NLSIU/NLU-D/NALSAR (Law)₹15 - ₹20 LPA at top corporate firms; litigation track separate
Top-tier corporate law firms. Litigation starts lower; senior counsel earnings substantial.
- AIIMS / top govt MBBSGovt MBBS doctor ₹6-8 LPA fresh + ₹15-25 LPA post-MD
Placement % isn't a meaningful metric for MBBS. MD/MS specialisation drives outcomes.
6 misleading patterns to ignore
"Highest CTC ₹2 crore!"
Reality: Single foreign-payroll offer at a tier-1 firm to a top-1% student. Not representative of the cohort. The 99th percentile says nothing about the 50th percentile.
"100% placement record"
Reality: Excludes students who 'opted out' (didn't sit for placements). Often includes ₹2-3 LPA mass-recruiter offers students took because they had no other option. Always check median.
"Average package ₹15 LPA"
Reality: Average is skewed by 1-2 outliers. Median is the honest number. Always ask for median — it usually halves the average.
"Top recruiters: Google, Microsoft, Amazon"
Reality: Means 1-3 students out of 200 got those offers. Look at total placements by company, not just logos at the top.
"Average CTC ₹X LPA (with foreign offers in INR)"
Reality: A ₹2.5 Cr foreign-payroll offer ($300k+) pulls the average up massively. Either exclude foreign or report median.
"100% placement at Tier-3 BTech college"
Reality: Usually means service-company offers at ₹3-4 LPA. Verify median, branch-wise breakup, and dropouts/opt-outs.
Questions to actually ask
- What's the median CTC? Not average. Not highest. Median.
- What's the median for MY branch? CSE median ≠ Mechanical median.
- How many got offers from top product / consulting / IB / govt? Not just "logos visited" — actual offer count.
- What % of students sat for placements? If 30% opted out, "100% placed of 70%" is the real number — not 100%.
- What's the bottom decile CTC? If lowest-decile gets ₹3 LPA service offers, that's the floor.
- Is the foreign offer ₹2 Cr included in the average? Should be excluded for honest comparison.
- Where do alumni 5 years out work? The most-honest signal. LinkedIn search for "[college] [batch year]".
- What's the salary 5 years out — not just at graduation? Some tier-3 BTech grads start at ₹3.5L but reach ₹15L in 5 years. Some IIT grads start at ₹30L but plateau if they don't switch firms.
What Shishya publishes vs not
We publish:
- Median ranges from official college placement reports (where available)
- NIRF Graduation Outcomes score (with caveats — see our insights article)
- Cross-links to colleges' own placement reports (which you should read)
- Career-path-level salary bands (in /careers)
We deliberately don't publish:
- "Highest CTC" numbers — they're decision-useless
- "100% placement" claims without context
- College rankings based on placement alone (use NIRF + multiple signals)