Subject-Area Teaching at SUNY Oneonta
Oneonta, NY · Public · Bachelor's Degree · Teacher Education and Professional Development, Specific Subject Areas
DegreeOutlook Score (Base Case) — assumes in-state tuition
63
Optimistic
62
Base Case
72
Pessimistic
Earnings
$36,776/yr (-12% vs median)
AI Risk
High (43% exposed)
Job Market
Very Large (444,600 openings/yr)
ROI
19.9x earnings multiple (9.1x 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 | $724K | $701K | $635K |
| Earnings Multiple (In-State) | 20.5x | 19.9x | 18.0x |
| Earnings Multiple (Out-of-State) | 9.4x | 9.1x | 8.3x |
| Probability of Field Employment | 78% | 70% | 55% |
| DegreeOutlook Score | 63 | 62 | 72 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$35,248
Out-of-state: $76,928 (9.1x ROI)
Median Debt at Graduation
$18,750
6.1 months of Year 1 earnings
Reported Earnings (5 Year)
$66,871
82% growth from Year 1
About SUNY Oneonta
SUNY Oneonta accepts 70% of applicants — an open-access institution by design, with a smaller student body of 4,820 in Oneonta, NY.
See all programs and financial aid at SUNY Oneonta →Top Career Paths
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Compare & Explore
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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 SUNY Oneonta's Subject-Area Teaching program score?
This program scores 62/100, 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 →