Special Education and Teaching at Liberty University
Lynchburg, VA · Private nonprofit · Bachelor's Degree
DegreeOutlook Score (Base Case)
33
Optimistic
32
Base Case
40
Pessimistic
Earnings
$39,699/yr (-10% vs median)
AI Risk
High (44% exposed)
Job Market
Large (34,900 openings/yr)
ROI
5.5x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Special Education and Teaching graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $462K | $465K | $452K |
| Earnings Multiple | 5.4x | 5.5x | 5.3x |
| Probability of Field Employment | 81% | 73% | 58% |
| DegreeOutlook Score | 33 | 32 | 40 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$84,888
Median Debt at Graduation
$27,000
8.2 months of Year 1 earnings
Reported Earnings (5 Year)
$44,616
12% growth from Year 1
About Liberty University
Liberty University has a 99% acceptance rate, making it broadly accessible, serving a student body of 50,059 in Lynchburg, VA.
See all programs and financial aid at Liberty University →Top Career Paths
Education teachers, postsecondary
$72,090/yr
Special education teachers, secondary school
$69,590/yr
Special education teachers, all other
$67,430/yr
Compare & Explore
Special Education and Teaching at Other Schools
Other Majors at Liberty 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 Liberty University's Special Education and Teaching program score?
This program scores 32/100 — on the lower end for Special Education and Teaching. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Special Education and Teaching to AI automation?
AI won't 'replace' Special Education and Teaching careers outright, but it is likely to reduce the number of job openings. We model 44% 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 →