Guide
How to actually calculate your MS abroad payback period
Last reviewed: July 2026
The formula, in plain language
Payback period answers one question: how many years of the extra salary you'll earn abroad does it take to recover what the degree cost you? Two inputs, one division:
Payback (years) = Total Program Cost ÷ (Starting Salary Abroad − India Baseline Salary)
"Total Program Cost" is tuition plus a realistic living-cost estimate for the full duration, already converted to INR. "Starting Salary Abroad" is what a fresh graduate typically earns in that specific program's market, also in INR. "India Baseline Salary" is a fixed ₹8,00,000/year - our assumed salary for an equivalent entry-level role if you'd stayed in India instead. Subtracting it means you're only crediting the degree with the salary gain, not your entire foreign paycheck - someone who'd have earned well in India anyway gets a fairer, lower payback estimate credited to the degree.
One floor is built in: if the salary gain would come out below ₹1,00,000/year (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 salary premium.
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 (fixed assumption)
Running the formula:
Net annual gain = ₹87,08,561 − ₹8,00,000 = ₹79,08,561
Payback = ₹97,64,100 ÷ ₹79,08,561 ≈ 1.23 years (about 15 months)
That's the exact number our scorecard would show for this program, rounded to one decimal (1.2 years). 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 1.2-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, that you stay in that country long enough to actually earn it, and that the India baseline is a fair comparison for your specific career trajectory. If you'd have earned well above ₹8,00,000/year staying in India, your real payback is longer than what this formula shows - which is exactly why we disclose the assumption instead of hiding it.
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), subtract ₹8,00,000, and divide. 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.
Want this run automatically across your actual shortlist?
The Honest Scorecard computes payback, admit odds, budget fit, and visa strength for every program you're considering - with every number and source shown.
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