American Sign Language at Madonna University
Livonia, MI · Private nonprofit · Bachelor's Degree
DegreeOutlook Score (Base Case)
27
Optimistic
27
Base Case
23
Pessimistic
Earnings
$30,013/yr (-9% vs median)
AI Risk
High (44% exposed)
Job Market
Large (88,500 openings/yr)
ROI
4.0x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to American Sign Language graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $427K | $433K | $415K |
| Earnings Multiple | 3.9x | 4.0x | 3.8x |
| Probability of Field Employment | 44% | 40% | 32% |
| DegreeOutlook Score | 27 | 27 | 23 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$109,440
About Madonna University
Madonna University accepts 93% of applicants — an open-access institution by design, with a smaller student body of 1,637 in Livonia, MI. Financial aid reduces the effective four-year cost to $71,260 — 35% less than the list price.
See all programs and financial aid at Madonna University →Top Career Paths
Postsecondary teachers, all other
$78,490/yr
Foreign language and literature teachers, postsecondary
$77,010/yr
Secondary school teachers, except special and career/technical education
$64,580/yr
Compare & Explore
American Sign Language at Other Schools
Other Majors at Madonna University
Consider the Trade Route?
Trade programs often mean less time in school, lower student debt, and hands-on career paths that tend to be more resilient to AI disruption.
Frequently Asked Questions
How does Madonna University's American Sign Language program score?
This program scores 27/100 — on the lower end for American Sign Language. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is American Sign Language to AI automation?
AI won't 'replace' American Sign Language careers outright, but it is likely to reduce the number of job openings. We model 44% 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 →