Grad School ROI Calculator: Does the Master's Pay Back the $80K + 2 Years?

Why the median master's barely pays back

Grad school sells on the salary premium. The honest accounting is brutal: 2 years × $40K tuition = $80K cash out, PLUS 2 years × your current salary ($60K, $80K, $120K depending) of foregone earnings. That's typically $200-320K of total cost before the first higher post-grad paycheck arrives. To pay it back over a 25-year remaining career, the post-grad salary bump needs to be substantial — for many master's programs, it isn't.

Georgetown CEW's data is unflinching: top-10 MBA programs reliably clear the hurdle (median grad clears the cost in 3-5 years), and so do CS / engineering / nursing master's. General-purpose master's in arts, humanities, and many social sciences often have negative ROI on the median — the lifetime delta is below zero. This tool lets you plug your specific numbers and see which side of that line your decision falls on.

How the math works

1. Grad path: years 1-N = −annual tuition (no salary). Year N+1 onward = post-grad starting salary × (1 + post-grad growth)^(years since graduation).
2. Stay-at-job baseline: year 1 onward = current salary × (1 + baseline growth)^(year − 1).
3. Lifetime delta = sum of grad cash flows − sum of baseline cash flows over the remaining career.
4. NPV delta discounts each year by (1 + discount rate)^(year − 1).
5. Breakeven year is where cumulative grad income overtakes cumulative baseline.

Sources: Georgetown CEW for graduate-degree lifetime earnings by field, BLS Education Pays for master's vs bachelor's salary medians, and individual programs' published outcomes reports.

What this simplifies: loan interest during the program isn't separately modeled — bake it into a higher annual tuition figure if financing. Part-time / employer-sponsored programs change the math dramatically (no foregone earnings, possibly no tuition cost) — set salary-during to your current and tuition to your out-of-pocket. PhD programs are typically funded with a stipend; model with tuition near zero and salary-during equal to the stipend.

Math runs locally. Inputs never leave your browser. Source on github.

Where this calculation doesn't apply

• Your field requires it. You can't be a physician, lawyer, licensed psychologist, or research scientist without the credential. The ROI question is moot — model the cost, not the choice.
• Employer-sponsored or scholarship-funded. If your employer pays tuition (capped at $5,250/yr tax-free for many) and you keep working, the cost side collapses dramatically. Set tuition to your out-of-pocket and salary-during to your current; the ROI usually flips strongly positive.
• PhD with stipend funding. Tuition is typically waived and you receive a stipend ($25-45K). The "cost" is foregone full-salary earnings, not tuition. Model with low tuition and salary-during = stipend.
• The degree opens a non-obvious career switch. If your post-grad role is in a different field than your pre-grad work (engineer → MBA → product manager, scientist → JD → patent attorney), the salary comparison gets complicated. Use the highest realistic post-grad salary you'd actually accept.

What to actually do

1. Use the specific program's published median-grad outcome, not the all-master's median. Top-tier programs vs mid-tier vs low-rank often differ 2× on post-grad salary.
2. Bake loan interest into the tuition slider if you're financing — a $40K annual tuition loan at 8% over the program effectively costs you $50K+.
3. If you're considering it for career flexibility (not just immediate salary), run the model and accept that a negative NPV may still be worth paying for the option value — but know what you're paying.
4. Stress-test by lowering the post-grad salary 20% (placement risk, recession, field shift). If the lifetime delta turns negative, the program is high-risk for the median grad.
5. For part-time / online programs that let you keep working, set salary-during to your current salary — that often turns a negative-NPV full-time program into a clear positive.