Communication Disorders at University of Arizona
Tucson, AZ · Public · Bachelor's Degree · Communication Disorders Sciences and Services
DegreeOutlook Score (Base Case) — assumes in-state tuition
31
Optimistic
31
Base Case
34
Pessimistic
Earnings
$24,044/yr (-5% vs median)
AI Risk
High (46% exposed)
Job Market
Large (41,400 openings/yr)
ROI
12.5x earnings multiple (4.2x out-of-state)
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Communication Disorders graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $685K | $683K | $597K |
| Earnings Multiple (In-State) | 12.6x | 12.5x | 11.0x |
| Earnings Multiple (Out-of-State) | 4.2x | 4.2x | 3.6x |
| Probability of Field Employment | 61% | 60% | 41% |
| DegreeOutlook Score | 31 | 31 | 34 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$54,504
Out-of-state: $164,380 (4.2x ROI)
Median Debt at Graduation
$16,118
8.0 months of Year 1 earnings
Reported Earnings (5 Year)
$59,154
146% growth from Year 1
About University of Arizona
A 86% acceptance rate means University of Arizona is accessible to most applicants, serving a student body of 40,769 in Tucson, AZ.
See all programs and financial aid at University of Arizona →Top Career Paths
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Compare & Explore
Communication Disorders at Other Schools
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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 University of Arizona's Communication Disorders program score?
This program scores 31/100 — on the lower end for Communication Disorders. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Communication Disorders to AI automation?
AI won't 'replace' Communication Disorders careers outright, but it is likely to reduce the number of job openings. We model 46% 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 →