Health and Medical Administrative Services at University of Phoenix-Nevada
Las Vegas, NV · Private for-profit · Bachelor's Degree
DegreeOutlook Score (Base Case)
55
Optimistic
55
Base Case
50
Pessimistic
Earnings
$44,580/yr (-4% 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 | $480K | $481K | $455K |
| Probability of Field Employment | 55% | 49% | 34% |
| DegreeOutlook Score | 55 | 55 | 50 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
Median Debt at Graduation
$43,340
11.7 months of Year 1 earnings
Reported Earnings (5 Year)
$46,659
5% growth from Year 1
About University of Phoenix-Nevada
in Las Vegas, NV.
See all programs and financial aid at University of Phoenix-Nevada →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
What does a 55/100 DegreeOutlook Score mean for Health and Medical Administrative Services at University of Phoenix-Nevada?
At 55/100, the score looks reasonable — but Health and Medical Administrative Services is a high-scoring field overall. Compared to peers, this program's earnings and ROI fall below the median.
Should I worry about AI if I study Health and Medical Administrative Services at University of Phoenix-Nevada?
The 54% AI task exposure score is above average. Our model shows this affecting job availability more than salaries — graduates may face stiffer competition for fewer positions.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research.
See full methodology →