Health and Medical Administrative Services at Liberty University
Lynchburg, VA · Private nonprofit · Bachelor's Degree
DegreeOutlook Score (Base Case)
54
Optimistic
54
Base Case
49
Pessimistic
Earnings
$43,578/yr (-6% vs median)
AI Risk
High (54% exposed)
Job Market
Very Large (729,600 openings/yr)
ROI
5.8x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Health and Medical Administrative Services graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $496K | $496K | $465K |
| Earnings Multiple | 5.8x | 5.8x | 5.5x |
| Probability of Field Employment | 55% | 49% | 34% |
| DegreeOutlook Score | 54 | 54 | 49 |
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
$29,164
8.0 months of Year 1 earnings
About Liberty University
With 99% of applicants admitted, Liberty University prioritizes broad access, with 50,059 students enrolled in Lynchburg, VA.
See all programs and financial aid at Liberty University →Top Career Paths
Managers, all other
$136,550/yr
Information security analysts
$124,910/yr
Medical and health services managers
$117,960/yr
Compare & Explore
Health and Medical Administrative Services at Other Schools
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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 Liberty University's Health and Medical Administrative Services program score?
A score of 54/100 reflects decent absolute metrics, but Liberty University trails the majority of Health and Medical Administrative Services programs on relative rankings. Context matters more than the raw number.
How vulnerable is Health and Medical Administrative Services to AI automation?
AI won't 'replace' Health and Medical Administrative Services careers outright, but it is likely to reduce the number of job openings. We model 54% 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 →