Teacher Education at University of Massachusetts Global
Irvine, CA · Public · Bachelor's Degree · Teacher Education and Professional Development, Specific Levels and Methods
DegreeOutlook Score (Base Case)
50
Optimistic
49
Base Case
62
Pessimistic
Earnings
$36,788/yr (-11% vs median)
AI Risk
High (30% exposed)
Job Market
Very Large (412,300 openings/yr)
ROI
10.6x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Teacher Education graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $534K | $532K | $510K |
| Earnings Multiple | 10.7x | 10.6x | 10.2x |
| Probability of Field Employment | 76% | 72% | 62% |
| DegreeOutlook Score | 50 | 49 | 62 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$50,080
Median Debt at Graduation
$23,283
7.6 months of Year 1 earnings
Reported Earnings (5 Year)
$51,104
39% growth from Year 1
About University of Massachusetts Global
a compact campus enrolling 4,902 students in Irvine, CA.
See all programs and financial aid at University of Massachusetts Global →Top Career Paths
Postsecondary teachers, all other
$78,490/yr
Education teachers, postsecondary
$72,090/yr
Training and development specialists
$65,850/yr
Compare & Explore
Teacher Education at Other Schools
Other Majors at University of Massachusetts Global
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 Massachusetts Global's Teacher Education program score?
This program scores 49/100 — on the lower end for Teacher Education. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Teacher Education to AI automation?
AI won't 'replace' Teacher Education careers outright, but it is likely to reduce the number of job openings. We model 30% 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 →