Tool · Payback calculator · Live data

Education Payback Calculator: How Many Years Until Your Degree Pays Back?

Updated 8 June 2026 · 22 careers · 33 destinations · 3 India city tiers · FX EUR ₹90 / USD ₹83 / GBP ₹105

What this tool solves

Your parents are asking "is this degree worth ₹40 lakh?" You're asking the same thing but not in words. The answer is a single number: payback years. That number is total program cost divided by net annual salary (gross salary minus annual living cost). When it's under 2 years the degree is cheap. When it's over 4 years the degree is expensive. The number is the entire conversation.

The formula — the whole thing

Total program cost = (Annual tuition + Annual living cost) × Program duration in years
Payback years      = Total program cost ÷ (Median annual salary − Annual living cost)

That's it. No discount rates. No 10-year NPV. Just the years until net salary recovers the cost. We do it this way because it's what a 17-year-old can verify on a calculator without a finance degree, and because the more sophisticated versions favour expensive degrees by hiding the cost behind discount-rate assumptions students don't choose.

Try it now

Pick a career + destination above to see the payback math.

How to interpret the result

Worked example

Career: AI / ML Engineer. Destination: India Tier 1 (Bangalore).

Total program cost (BTech IIT-B, 4 yrs): ₹3.6L tuition + ₹6L living = ₹9.6L total.
Median CTC: ₹22L. Annual living in Bangalore: ₹6L. Net annual: ₹22L − ₹6L = ₹16L.
Payback: ₹9.6L ÷ ₹16L = 0.6 yrs.

Same career, USA, MS at Stanford:

Total program cost (2-yr MS): ₹50L tuition + ₹16L living = ₹66L total.
Median starting CTC: ~₹1.3Cr at FX ₹83. Annual living in SF Bay: ~₹35L. Net annual: ₹1.3Cr − ₹35L = ₹95L.
Payback: ₹66L ÷ ₹95L = 0.7 yrs.

Both fast, both honest, and now you can compare them on something other than vibes.

What this calculator doesn't do

Frequently asked questions

Why do you use median salary instead of expected salary?

Because half the cohort lands above the median and half below — using "expected" or "top quartile" salary hides the fact that 50% of graduates will pay back slower than the headline number suggests. The median is the honest number. If you want to model the optimistic case, multiply the median by 1.3–1.5; if you want the pessimistic case, multiply by 0.7.

Where do the salary numbers come from?

India: LinkedIn Salary Insights, AmbitionBox, Levels.fyi India, and direct campus-placement reports from IITs / IIMs / NITs / IIITs filtered to median tier-1/2/3 cohorts. Abroad: BLS Occupational Employment Statistics 2025 (USA), Marburger Bund tariffs (Germany), ONS (UK), Statistics Canada, Indeed median offers cross-referenced with Levels.fyi self-reports. All numbers refresh quarterly.

What's the difference between this and a ROI calculator?

This is simpler on purpose. Standard ROI uses discount rates, NPV, IRR — all useful, all sensitive to assumptions you didn't make. Payback years says "how many years before the money comes back" in arithmetic a parent can verify. Same data, less room for the result to be massaged. If you want NPV / IRR for your specific case, take this number and feed it into any standard finance tool.

J2E does not sell counselling. The math is the product.