Subject-Area Teaching at Saginaw Valley State University
University Center, MI · Public · Bachelor's Degree · Teacher Education and Professional Development, Specific Subject Areas
DegreeOutlook Score (Base Case) — assumes in-state tuition
58
Optimistic
57
Base Case
61
Pessimistic
Earnings
$43,585/yr (5% vs median)
AI Risk
High (43% exposed)
Job Market
Very Large (444,600 openings/yr)
ROI
10.0x 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 Subject-Area Teaching graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $488K | $489K | $469K |
| Earnings Multiple (In-State) | 10.0x | 10.0x | 9.6x |
| Earnings Multiple (Out-of-State) | 4.2x | 4.2x | 4.1x |
| Probability of Field Employment | 78% | 70% | 55% |
| DegreeOutlook Score | 58 | 57 | 61 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$48,960
Out-of-state: $115,008 (4.2x ROI)
Median Debt at Graduation
$23,000
6.3 months of Year 1 earnings
Reported Earnings (5 Year)
$48,009
10% growth from Year 1
About Saginaw Valley State University
A 73% acceptance rate means Saginaw Valley State University is accessible to most applicants, enrolling 6,004 students in University Center, MI.
See all programs and financial aid at Saginaw Valley State University →Top Career Paths
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Is a Trade Program a Better Fit?
For students who prefer applied learning, trade programs can deliver strong earnings with significantly less debt and shorter time to employment.
Frequently Asked Questions
How does Saginaw Valley State University's Subject-Area Teaching program score?
This program scores 57/100, reflecting respectable but not exceptional financial outcomes for Subject-Area Teaching graduates.
How vulnerable is Subject-Area Teaching to AI automation?
AI won't 'replace' Subject-Area Teaching careers outright, but it is likely to reduce the number of job openings. We model 43% 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 →