Is UW's MS in Data Science a Cash Cow? The Data (2026)
$53K fee-based, in-house, ~13% admit, STEM-OPT—but no F-1 for Autumn 2026 and it publishes outcomes. We score UW's MSDS: 41/100.
Is UW's MS in Data Science a Cash Cow? The Data (2026)
The University of Washington (Seattle) runs its Master of Science in Data Science (MSDS) as a self-sustaining, fee-based professional master's — the structure that, on paper, raises the cash-cow question, because residents and non-residents pay the same per-credit fee and the unit funds itself from tuition. So we ran it through our Cash-Cow Index, an 8-test rubric scored only on public facts. (To be clear up front: this is the University of Washington in Seattle — not UW–Madison or Washington University in St. Louis.)
"Cash cow" here is an evaluative label for a revenue-oriented structure, drawn from disclosed facts — not an accusation of fraud, deception, predatory conduct, or low quality. Every figure is sourced and dated, and we hedge anything we could not verify from a primary source.
The data
| Test (max) | Finding | Source | Confidence |
|---|---|---|---|
| International (22) | Most recent published cohort profile (Autumn 2022) was 55% international — but the program states "Autumn 2026 applications are open to students who do not need an F-1/J-1 student visa," i.e. the F-1 intake is currently paused. UW Seattle is ~14% international institution-wide (7,439 of 52,316), down ~7% in 2025-26. | washington.edu/datasciencemasters (class profile; international-students) ; UW News, Oct 30 2025 | High |
| Full-pay (18) | $1,185/credit × 45 = $53,325 (2025-26), fee-based, same for residents and non-residents; "the vast majority of our students finance their MSDS degrees through a combination of their own resources and student loans." Some merit scholarships; TA/RA positions exist "particularly in their second year." | washington.edu/datasciencemasters/tuitionfinancialaid | High |
| Open-door (12) | GRE/GMAT not accepted, but the Autumn 2022 cohort admitted "about 13 percent" of "more than 1,000 applicants." Requires CS + Math prerequisite coursework (or a documented "Technical Endorsement"), 2 essays, 2 LORs, min 3.0 GPA. This is selective, not open-door. | washington.edu/datasciencemasters/admission-requirements ; class profile | High |
| One-year (10) | 45 credits (8 core + a two-quarter capstone project); full-time is "1.5 years", part-time "2.5 years." Not a one-year coursework sprint. | washington.edu/datasciencemasters/curriculum | High |
| Middleman (12) | No OPM. Curriculum delivered in-house by six UW units (Applied Math, Biostatistics, the Allen School of CSE, HCDE, the Information School, Statistics), associated with the eScience Institute. No 2U/edX/Coursera; no disclosed commission-agent program. | washington.edu/datasciencemasters/curriculum | High |
| Factory (10) | Self-sustaining fee-based unit (a structural marker), but a small ~62-student cohort, taught by faculty across established degree-granting departments — not a high-volume, adjunct-driven enrollment machine. | washington.edu/datasciencemasters (class profile) | Med-High |
| Visa (6) | STEM-designated (CIP 11.0401); CPT, OPT and the STEM-OPT extension are described on the program's international page. But the same page restricts the Autumn 2026 intake to applicants who do not need an F-1/J-1 visa — so the visa runway is not currently being marketed as the pitch. | washington.edu/datasciencemasters/international-students | Med-High |
| Outcomes (10) | UW does publish outcomes — a careers page with a reported mean salary of ~$124,000 (base range ~$91,000–$186,000), internship pay, and ~38 named employer organizations, plus a public class profile. No response rate or methodology is disclosed, so treat the salary figures as program-reported. | washington.edu/datasciencemasters/careers | Med |
The score
International 11 · Full-pay 13 · Open-door 2 · One-year 5 · Middleman 1 · Factory 4 · Visa 3 · Outcomes 2 → Total ≈ 41 / 100 — "Some markers."
This one lands low, and honestly so. The structure has a couple of cash-cow fingerprints — it's a fee-based, self-sustaining unit where residents and non-residents pay the same sticker, and a recent cohort was majority-international. But almost every other test pushes the other way. It runs entirely in-house with no OPM skimming tuition (Middleman: 1/12). It is selective — a ~13% admit rate with real CS/math prerequisites is the opposite of an open door (Open-door: 2/12). It publishes graduate outcomes rather than hiding them (Outcomes: 2/10, where a high score is the bad sign). And, tellingly, for Autumn 2026 it isn't even recruiting the F-1 students a cash-cow model depends on (Visa: 3/6, International: 11/22). On this rubric, that combination keeps UW well inside the lowest meaningful band.
Mitigating context
UW MSDS reads less like a revenue line and more like a selective, in-house professional degree that happens to be fee-based. A self-sustaining tuition model is common for evening, working-professional programs and is not itself evidence of anything improper; what matters is where the money goes, and here it stays inside the university and its degree-granting departments. The ~13% admit rate, the CS/math prerequisite bar, the small cohort, the in-house faculty, and the published (if program-reported) outcomes are all markers of a program competing on quality rather than volume. The single biggest reason this is not a high score is the Autumn 2026 decision to limit admission to applicants who don't need a student visa — the inverse of the international-recruitment funnel that defines a cash cow. Prospective students should still price the real number — about $53K in tuition before fees and living costs in a high-cost city, financed mostly out of pocket, which our data on assistantship funding for international MS students shows is the norm rather than the exception — but the economics here are a long way from the extraction end of the spectrum.
For comparison on the same rubric: Georgia Tech's OMSCS is the low-score benchmark for a genuinely good deal, and UW MSDS sits much closer to it than to the high scorers. Programs that land far higher — majority-international, full-pay, run through an outside vendor or hiding outcomes — are catalogued in our broader cash-cow master's investigation and led by Columbia's SPS Applied Analytics. Within this same series we're publishing alongside two information/CS siblings, Saint Louis University's MS in Information Systems and Texas A&M's MS in Computer Science.
Right of reply. The University of Washington and the MSDS program are welcome to respond — including current-cohort international percentages, an up-to-date acceptance rate, methodology for the published salary figures, or any change to F-1 eligibility for future intakes — and we will publish it in full.
This is opinion and structural analysis based on public data as of June 2026 — not financial, immigration, or admissions advice. Figures change; verify current terms and visa eligibility directly with the program. "Cash cow" is an evaluative label for a revenue-oriented structure, not an allegation of wrongdoing. GradPilot is independent and unaffiliated with the University of Washington.
Sources
UW MS in Data Science program, curriculum, admissions, tuition & financial aid, international-students, class profile, and careers pages (washington.edu/datasciencemasters); UW eScience Institute (escience.washington.edu); UW News enrollment release, Oct 30 2025 (washington.edu/news); DHS Study in the States STEM-OPT CIP list (studyinthestates.dhs.gov). Accessed June 2026.
Related Reading
- The Cash-Cow Index: Score Your Master's Offer in 8 Tests
- Cash Cow Master's Programs at Elite Universities
- Is Georgia Tech's OMSCS a Cash Cow? (the low-score benchmark)
- Is Saint Louis University's MS in Information Systems a Cash Cow?
- Is Texas A&M's MS in Computer Science a Cash Cow?
- Data Science and Analytics SOP Examples — what that application actually asks you to write
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