Linguistics at University of Wisconsin-Milwaukee
Milwaukee, WI · Public · Bachelor's Degree · Linguistic, Comparative, and Related Language Studies and Services
DegreeOutlook Score (Base Case) — assumes in-state tuition
32
Optimistic
32
Base Case
28
Pessimistic
Earnings
$25,285/yr (-9% vs median)
AI Risk
Very High (56% exposed)
Job Market
Large (83,300 openings/yr)
ROI
13.2x earnings multiple (6.0x out-of-state)
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Linguistics graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $533K | $529K | $486K |
| Earnings Multiple (In-State) | 13.3x | 13.2x | 12.1x |
| Earnings Multiple (Out-of-State) | 6.1x | 6.0x | 5.5x |
| Probability of Field Employment | 43% | 38% | 28% |
| DegreeOutlook Score | 32 | 32 | 28 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$40,080
Out-of-state: $88,080 (6.0x ROI)
Median Debt at Graduation
$21,000
10.0 months of Year 1 earnings
Reported Earnings (5 Year)
$48,586
92% growth from Year 1
About University of Wisconsin-Milwaukee
With 88% of applicants admitted, University of Wisconsin-Milwaukee prioritizes broad access, enrolling 16,762 students in Milwaukee, WI.
See all programs and financial aid at University of Wisconsin-Milwaukee →Top Career Paths
Social scientists and related workers, all other
$100,340/yr
English language and literature teachers, postsecondary
$78,270/yr
Foreign language and literature teachers, postsecondary
$77,010/yr
Compare & Explore
Linguistics at Other Schools
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Frequently Asked Questions
How does University of Wisconsin-Milwaukee's Linguistics program score?
This program scores 32/100 — on the lower end for Linguistics. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Linguistics to AI automation?
AI won't 'replace' Linguistics careers outright, but it is likely to reduce the number of job openings. We model 56% task exposure, which compresses field employment probability in our scenarios.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research.
See full methodology →