Subject-Area Teaching at Northern Illinois University
Dekalb, IL · Public · Bachelor's Degree · Teacher Education and Professional Development, Specific Subject Areas
DegreeOutlook Score (Base Case)
63
Optimistic
62
Base Case
64
Pessimistic
Earnings
$45,184/yr (8% vs median)
AI Risk
High (43% exposed)
Job Market
Very Large (444,600 openings/yr)
ROI
10.5x 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 | $536K | $532K | $503K |
| Earnings Multiple | 10.6x | 10.5x | 9.9x |
| Probability of Field Employment | 78% | 70% | 55% |
| DegreeOutlook Score | 63 | 62 | 64 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$50,800
Median Debt at Graduation
$22,500
6.0 months of Year 1 earnings
Reported Earnings (5 Year)
$53,340
18% growth from Year 1
About Northern Illinois University
Northern Illinois University has a 70% acceptance rate, making it broadly accessible, with a mid-sized student body of 11,277 in Dekalb, IL. Pell Grant recipients make up 46% of the student body — a marker of economic diversity.
See all programs and financial aid at Northern Illinois University →Top Career Paths
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Compare & Explore
Subject-Area Teaching at Other Schools
Other Majors at Northern Illinois University
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 Northern Illinois University'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 →