How to actually calculate your MS abroad payback period

The formula, in plain language

Payback period answers one question: how many years of the extra money you keep abroad does it take to recover what the degree cost you? "Keep" matters. Nobody repays a loan from gross salary, so we count what is left after the destination country's tax and a year's living cost, and compare it with what you would have left by staying in India.

Payback (years) = Total Program Cost ÷ (Annual Savings Abroad − Annual Savings in India)
Annual savings = Gross Salary − Income Tax & Payroll Contributions − A Year's Living Cost

Years of extra savings to cover the total cost: salary abroad after tax and a year's living cost, compared with what you would save staying in India. Before loan interest.

"Total Program Cost" is tuition plus a realistic living-cost estimate for the full duration, already converted to INR. "Gross Salary" abroad is what a fresh graduate typically earns in that specific program's market, also in INR. For the India side we use a fixed ₹8,00,000/year gross salary - our assumed pay for an equivalent entry-level role if you'd stayed - taxed and with a year's living cost taken off in the same way. Subtracting it means the degree is only credited with the savings gain, not your entire foreign paycheck.

One floor is built in: if the yearly gain would come out below ₹1,00,000 (or negative), we use ₹1,00,000 as the denominator instead of letting the math produce a negative or absurdly long payback number. This only matters for edge cases - it doesn't change the result for any program with a real savings premium.

What goes into the savings figure

Every input is either a published rule or a labelled estimate. Checked 2026-10-04.

• USA tax: 2026 federal brackets (single filer, $16,100 standard deduction), a flat 5% state-tax assumption (the real range runs from 0% in Texas and Washington to about 9% in California), and 7.65% FICA. FICA is included even though F-1 students on OPT are usually exempt for their first five calendar years, so US savings are, if anything, understated.
• UK tax: 2026-27 personal allowance £12,570, 20% and 40% bands, employee National Insurance at 8% and 2%.
• Australia tax: 2026-27 resident rates (15% second bracket from 1 July 2026) plus the 2% Medicare levy.
• Germany and Canada tax: flat effective rates of 37% and 25% (income tax plus employee social contributions at a typical starting salary). These are estimates, and labelled as such.
• Living cost abroad: the government student-visa minimum for each country - UK £1,529 a month in London and £1,171 elsewhere, Germany €11,904 a year (blocked account), Canada C$23,448 a year, Australia A$29,710 a year. The US has no official figure, so $24,000 a year is our own labelled assumption. These are floors. A working graduate usually spends more, so the payback shown is still the optimistic end of honest.
• India: the baseline salary taxed under the FY 2026-27 new regime (₹75,000 standard deduction, the Section 87A rebate up to ₹12 lakh taxable, 4% cess), minus an assumed ₹4,80,000 a year of living cost.
• Online programmes (no student visa) use India tax and India living cost for the salary side too, because the graduate works in India.
• Not included: loan interest. The loan reality calculator covers that separately, so every payback figure here is "before loan interest".

Worked example: NJIT MS Data Science

Using our sourced figures for New Jersey Institute of Technology's MS Data Science program (Newark, NJ, 18 months):

• Total program cost: ₹97,64,100 (tuition + living, per njit.edu / ds.njit.edu)
• Starting salary abroad:₹87,08,561/year - NJIT's own reported average starting salary for MS Data Science grads, Class of 2024 (N=13, $91,323), via NJIT Career Development Services Outcomes Report
• India baseline:₹8,00,000/year - the figure used when we have no basis to assume a higher one. If you tell us your undergrad college and it's an IIT/NIT-class institution, we use that institution class's NIRF-reported median instead (see below).

Running the formula (figures computed by the scoring code, rounded to the rupee):

Savings abroad = ₹87,08,561 − ₹21,75,488 (US tax and FICA) − ₹22,88,640 ($24,000 living) = ₹42,44,433
Savings in India = ₹8,00,000 − ₹0 (tax, after the 87A rebate) − ₹4,80,000 (living) = ₹3,20,000
Extra savings per year = ₹42,44,433 − ₹3,20,000 = ₹39,24,433
Payback = ₹97,64,100 ÷ ₹39,24,433 ≈ 2.49 years (about 30 months)

That's the exact number our scorecard would show for this program, rounded to one decimal (2.5 years). On the older gross-salary version of this formula the same program came out at 1.2 years, which is why we changed it: the gross figure ignored the roughly half of that salary which goes to tax and living costs before you can save any of it. Note the honest caveat baked into the source data itself: NJIT's reported average is based on a small sample (13 salary reports for Class of 2024), so treat it as directionally useful, not a guarantee for any individual outcome.

Why payback isn't the whole picture

A short payback period is genuinely a good sign, but our composite scorecard never uses it alone. It feeds into an ROI score (capped between 0-100, penalized 10 points per year of payback) that gets weighted alongside budget fit, visa-pathway strength, and admit likelihood - and the weighting itself changes based on whether you told us salary, affordability, or migration matters most to you. A 2.5-year payback at a program with a weak visa pathway or a budget that doesn't fit your family's finances can still rank below a program with a longer payback but a stronger overall fit.

It's also worth being honest about what the formula can't see: it assumes you land the "typical" starting salary for that program's market, and that you stay in that country long enough to actually earn it. Neither is guaranteed.

The India baseline, and why it changes by college

The baseline is what you'd earn if you didn't go - your opportunity cost. It matters enormously: payback is cost divided by the gap between what you would save abroad and what you would save here, so a higher baseline salary means a longer payback for the exact same program.

Until July 2026 we used a flat ₹8,00,000/year for everyone. That was too crude, and it was too generous in one specific direction: it made an MS look better than it is for students who already had strong Indian options. An IIT graduate does not forgo ₹8L by leaving.

So the baseline is now taken from what institutions themselves report to the Government of India through NIRF, which requires a median rather than the inflated “average package” figures that circulate in the press:

• IIT / IISc / BITS / IIIT-class:the average of the top seven IITs' reported B.Tech medians for the latest NIRF year.
• NIT-class: the same computation over the NITs in our dataset.
• Everything else, or college not given:₹8,00,000/year. NIRF's engineering data doesn't cover the long tail of private colleges in a comparable way, so this stays an estimate - a floor, not a forecast. If your real India offer is higher, your payback is longer than the one shown.

The full dataset, method and source PDFs are in the NIRF placement guide. The worked example above uses the ₹8,00,000 baseline; if you went to an IIT, your payback on that same program would be meaningfully longer, and the scorecard will show you that.

Run it yourself on any program

You don't need our tool to use this formula - grab a program's published tuition and a realistic living-cost estimate for its city, find a sourced starting-salary figure (university career-outcomes reports are best; general salary-band sites like Glassdoor or Levels.fyi are a reasonable fallback), work out the yearly savings abroad (salary, minus that country's tax, minus a year's living cost), subtract the ₹3,20,000 a year you would save in India on the ₹8,00,000 baseline, and divide the total cost by what is left. The value of running it on your own shortlist is that you'll immediately see which programs are being sold on prestige rather than on numbers that hold up.