Health and Medical Administrative Services at Texas Tech University Health Sciences Center
Lubbock, TX · Public · Bachelor's Degree
DegreeOutlook Score (Base Case)
60
Optimistic
59
Base Case
54
Pessimistic
Earnings
$56,615/yr (22% vs median)
AI Risk
High (54% exposed)
Job Market
Very Large (729,600 openings/yr)
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 | $589K | $579K | $524K |
| Probability of Field Employment | 55% | 49% | 34% |
| DegreeOutlook Score | 60 | 59 | 54 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
Median Debt at Graduation
$18,000
3.8 months of Year 1 earnings
Reported Earnings (5 Year)
$65,394
16% growth from Year 1
About Texas Tech University Health Sciences Center
with a smaller student body of 1,374 in Lubbock, TX.
See all programs and financial aid at Texas Tech University Health Sciences Center →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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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 Texas Tech University Health Sciences Center's Health and Medical Administrative Services program score?
A score of 59/100 reflects decent absolute metrics, but Texas Tech University Health Sciences Center 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 →