Which US Master's Actually Pays: What the Federal Earnings Data Shows
Rankings measure reputation. The Department of Education measures what graduates of a specific programme actually earned a year later. Here is what that file says about CS and engineering master's — and the one field where it says nothing at all.

Ask which American university is best for an MS and you will be handed a ranking. Rankings are built from reputation surveys, faculty counts and selectivity. None of those is the thing you are actually buying when you move countries and borrow money.
The US Department of Education publishes something closer to it: what graduates of a specific programme at a specific university actually earned a year after finishing. This article is built entirely from that file. Where it cannot answer a question, we say so rather than reaching for a ranking.
What this data is, exactly
The figures below come from the College Scorecard Field of Study file, last updated by the Department of Education on 2 November 2026. For each programme it reports:
- Median earnings one year after completion, for graduates who are working and not enrolled in further study, and whose highest credential is that master's.
- Median cumulative graduate debt for students who completed that programme.
- The cohort size the earnings figure is calculated from.
We have filtered to programmes with a cohort of at least 50. Below that the median moves too much on too few people to mean anything.
Computer science: the top of the table
| Institution | Programme | Median earnings 1 yr after | Median grad debt | Out-of-state tuition/yr | Cohort |
|---|---|---|---|---|---|
| Stanford University Stanford, CA · Private | Computer Science | $159,729 | $33,500 | $68,544 | 57 |
| Cornell University Ithaca, NY · Private | Computer Science | $147,241 | $36,706 | $72,270 | 77 |
| Columbia University in the City of New York New York, NY · Private | Computer Science | $133,851 | $41,000 | $74,180 | 54 |
| Georgia Institute of Technology Atlanta, GA · Public | Computer and Information Sciences, General | $121,610 | $21,664 | $35,092 | 375 |
| University of Washington-Seattle Campus Seattle, WA · Public | Computer and Information Sciences, General | $116,990 | $37,297 | $44,640 | 95 |
| Southern Methodist University Dallas, TX · Private | Information Science/Studies | $115,112 | $56,716 | $69,722 | 70 |
| Johns Hopkins University Baltimore, MD · Private | Computer and Information Sciences, General | $111,651 | $30,500 | $67,170 | 137 |
| University of Southern California Los Angeles, CA · Private | Computer Science | $110,796 | $41,882 | $75,162 | 81 |
| Carnegie Mellon University Pittsburgh, PA · Private | Computer and Information Sciences, General | $109,615 | $65,734 | $68,776 | 108 |
| Pennsylvania State University-Penn State Great Valley Malvern, PA · Public | Information Science/Studies | $109,295 | $41,000 | n/a | 53 |
| Johns Hopkins University Baltimore, MD · Private | Information Science/Studies | $108,932 | $34,914 | $67,170 | 75 |
| Georgetown University Washington, DC · Private | Computer/Information Technology Administration and Management | $105,843 | $55,779 | $71,338 | 114 |
The number that should change how you read this
Across all 108 computer-science master's programmes with a cohort of 50 or more, the median programme reports median earnings of $78,392. The table above is the top of a distribution that runs from about $44,120 to $159,729.
In other words, the gap between a top programme and a typical one is roughly double. That gap is far larger than the gap between any two adjacent rows in a published ranking, and it is the gap that actually matters.
Georgia Tech is the outlier worth studying
Look at the fourth row. Georgia Tech reports $121,610 median earnings on $21,664 median graduate debt, from a cohort of 375 — by far the largest in the table.
Compare that with Carnegie Mellon at $109,615 on $65,734 of debt. Both are excellent computer science departments. One leaves its median graduate with roughly three times the debt of the other, and earns less a year out.
Engineering
| Institution | Programme | Median earnings 1 yr after | Median grad debt | Out-of-state tuition/yr | Cohort |
|---|---|---|---|---|---|
| Massachusetts Institute of Technology Cambridge, MA · Private | Electrical, Electronics, and Communications Engineering | $144,716 | not reported | $64,730 | 100 |
| Northwestern University Evanston, IL · Private | Engineering, Other | $140,321 | $115,500 | $70,589 | 79 |
| Massachusetts Institute of Technology Cambridge, MA · Private | Mechanical Engineering | $135,266 | not reported | $64,730 | 54 |
| Massachusetts Institute of Technology Cambridge, MA · Private | Systems Engineering | $133,685 | $62,750 | $64,730 | 66 |
| Johns Hopkins University Baltimore, MD · Private | Systems Engineering | $114,155 | $26,223 | $67,170 | 119 |
| University of Southern California Los Angeles, CA · Private | Electrical, Electronics, and Communications Engineering | $108,989 | not reported | $75,162 | 61 |
| George Washington University Washington, DC · Private | Systems Engineering | $106,809 | $42,593 | $70,170 | 55 |
| University of Washington-Seattle Campus Seattle, WA · Public | Electrical, Electronics, and Communications Engineering | $106,287 | $41,166 | $44,640 | 50 |
| University of Colorado Boulder Boulder, CO · Public | Engineering, General | $105,752 | $39,500 | $47,142 | 55 |
| University of Michigan-Ann Arbor Ann Arbor, MI · Public | Systems Engineering | $102,847 | not reported | $63,962 | 56 |
| Embry-Riddle Aeronautical University-Daytona Beach Daytona Beach, FL · Private | Systems Engineering | $101,436 | $32,139 | $46,181 | 78 |
| Johns Hopkins University Baltimore, MD · Private | Electrical, Electronics, and Communications Engineering | $101,186 | $22,874 | $67,170 | 101 |
Across all 59 engineering master's programmes meeting the same cohort threshold, the median programme reports $92,527 — noticeably higher than the computer-science median of $78,392. The ceiling in CS is higher; the floor in engineering is higher.
Note Northwestern in the second row: $140,321 earnings against $115,500 of median graduate debt. That is the highest debt figure anywhere in either table, and it is close to a full year of earnings.
Data science: the data cannot tell you yet
This is the finding most likely to be useful to you, and no ranking will tell you.
The file contains 317 master's programmes in data science and data analytics. The number of them that report median earnings is zero. Only 32 report debt.
The reason is timing. These programmes are new. The earnings measure needs a cohort that graduated, entered the workforce and was observed for a full year, and most of these programmes do not have one yet at a reportable size.
How much of the picture is missing
Honesty about coverage matters more than the table itself:
| Field | Master's programmes in the file | With usable earnings (cohort ≥ 50) |
|---|---|---|
| Computer & information sciences | 1,454 | 108 |
| Engineering | 2,431 | 59 |
| Data science & analytics | 317 | 0 |
Most programmes are missing because their cohorts are too small to report without risking individual privacy — the file suppresses those. A programme's absence from the table is not evidence that it is bad. It usually means it is small.
One quirk to know when you read the raw file
Some university systems report a single figure across several campuses. The University of Washington's Seattle, Bothell and Tacoma campuses carry an identical earnings figure, as do four Penn State campuses. We have collapsed those duplicates to one row each. If you pull the file yourself, you will see the repeats.
The part that is about visas, not money
One field in this data has a direct immigration consequence: the CIP code, the federal classification number attached to every programme.
Your eligibility for the 24-month STEM OPT extension depends on whether the CIP code printed on your Form I-20 appears on the DHS STEM Designated Degree Program List. Not on the degree's title, not on how technical the coursework feels — on that number.
What we are deliberately not publishing
- A ranking. We have ordered programmes by one measurable variable. That is not the same as saying one university is better than another, and we are not saying it.
- Admission rates or GRE cut-offs for these master's programmes. The admission rate in the Scorecard institution file is an undergraduate figure. Applying it to graduate admissions would be wrong, so we have left it out.
- Cost of attendance. The tuition column is published out-of-state tuition and fees. It is not your total cost — it excludes living costs, health insurance and fees that vary by programme. Treat it as a comparison between rows, not as a budget.
- Sponsorship rates by university. No federal file links a graduate's university to whether their employer later sponsored them.
How to actually use this
- Start from the debt column, not the earnings column. Earnings vary with the job market. Debt is fixed the day you sign, and you repay it in dollars while possibly on a temporary visa.
- Check the cohort size before you trust any median.
- Confirm the CIP code against the DHS STEM list before accepting.
- Look up your exact programme on the College Scorecard site rather than relying on this table. We show twelve rows; the file has tens of thousands.
- Treat a missing programme as unknown, not as bad.
If your plan after the degree is to work in the US, the mechanism that gets you from an F-1 to a job is the part worth understanding next — that is cap-gap, and then the H-1B cap itself.
Questions
Where do these salary figures come from?
Which US university pays off best for a computer science master's?
What does a typical CS master's actually earn?
What do data science master's graduates earn?
Is engineering or computer science better paid at master's level?
Why is my university missing from the table?
Does the university I choose affect my STEM OPT eligibility?
Does this data show which universities lead to H-1B sponsorship?
Sources: US Department of Education — College Scorecard, Download the Data · College Scorecard — Data Documentation · DHS Study in the States — Eligible CIP Codes for the STEM OPT Extension · DHS Study in the States — STEM OPT Hub
