Health and Medical Administrative Services at Rasmussen University-Kansas

Topeka, KS · Private for-profit · Bachelor's Degree
61 /100
DegreeOutlook Score (Base Case)
61
Optimistic
61
Base Case
56
Pessimistic
Earnings $46,361/yr (0% vs median)
AI Risk High (54% exposed)
Job Market Very Large (729,600 openings/yr)
ROI 8.7x earnings multiple
Ranked #114 of 262 Health and Medical Administrative Services programs Top 50%

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 $536K $531K $490K
Earnings Multiple 8.7x 8.7x 8.0x
Probability of Field Employment 55% 49% 34%
DegreeOutlook Score 61 61 56

10-Year Earnings Projection

*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.

4-Year Tuition (Sticker)
$61,360
Median Debt at Graduation
$26,217
6.8 months of Year 1 earnings
Reported Earnings (5 Year)
$55,408
20% growth from Year 1

About Rasmussen University-Kansas

a compact campus enrolling 333 students in Topeka, KS. 57% of students receive Pell Grants, indicating strong socioeconomic diversity.

See all programs and financial aid at Rasmussen University-Kansas →

Top Career Paths

Managers, all other $136,550/yr
Information security analysts $124,910/yr
Medical and health services managers $117,960/yr
View all 19 career paths with salary ranges and AI risk →

Compare & Explore

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Frequently Asked Questions

How does Rasmussen University-Kansas's Health and Medical Administrative Services program score?
This program scores 61/100, reflecting respectable but not exceptional financial outcomes for Health and Medical Administrative Services graduates.
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 →