Subject-Area Teaching at Southern New Hampshire University
Manchester, NH · Private nonprofit · Bachelor's Degree · Teacher Education and Professional Development, Specific Subject Areas
DegreeOutlook Score (Base Case)
57
Optimistic
56
Base Case
58
Pessimistic
Earnings
$44,738/yr (7% vs median)
AI Risk
High (43% exposed)
Job Market
Very Large (444,600 openings/yr)
ROI
7.4x earnings multiple
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 | $487K | $488K | $469K |
| Earnings Multiple | 7.4x | 7.4x | 7.1x |
| Probability of Field Employment | 78% | 70% | 55% |
| DegreeOutlook Score | 57 | 56 | 58 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$65,800
Median Debt at Graduation
$24,594
6.6 months of Year 1 earnings
Reported Earnings (5 Year)
$48,088
7% growth from Year 1
About Southern New Hampshire University
With 96% of applicants admitted, Southern New Hampshire University prioritizes broad access, with 156,755 students enrolled in Manchester, NH. 47% of students receive Pell Grants, indicating strong socioeconomic diversity.
See all programs and financial aid at Southern New Hampshire University →Top Career Paths
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Compare & Explore
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Explore the Trade Alternative
Not every career requires a four-year degree. Trade programs in related fields can offer competitive salaries with a fraction of the student loan burden.
Frequently Asked Questions
How does Southern New Hampshire University's Subject-Area Teaching program score?
This program scores 56/100, 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 →