Parks & Recreation at California Polytechnic State University-San Luis Obispo
San Luis Obispo, CA · Public · Bachelor's Degree · Parks, Recreation and Leisure Studies
DegreeOutlook Score (Base Case) — assumes in-state tuition
34
Optimistic
33
Base Case
23
Pessimistic
Earnings
$39,157/yr (16% vs median)
AI Risk
Very High (56% exposed)
Job Market
Very Small (1,100 openings/yr)
ROI
10.8x earnings multiple (3.8x out-of-state)
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Parks & Recreation graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $475K | $477K | $448K |
| Earnings Multiple (In-State) | 10.7x | 10.8x | 10.1x |
| Earnings Multiple (Out-of-State) | 3.8x | 3.8x | 3.6x |
| Probability of Field Employment | 42% | 36% | 26% |
| DegreeOutlook Score | 34 | 33 | 23 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$44,300
Out-of-state: $123,980 (3.8x ROI)
Median Debt at Graduation
$15,400
4.7 months of Year 1 earnings
About California Polytechnic State University-San Luis Obispo
California Polytechnic State University-San Luis Obispo admits 30% of applicants, placing it among selective institutions, serving a student body of 21,521 in San Luis Obispo, CA.
See all programs and financial aid at California Polytechnic State University-San Luis Obispo →Top Career Paths
Recreation and fitness studies teachers, postsecondary
$75,890/yr
Compare & Explore
Parks & Recreation at Other Schools
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Frequently Asked Questions
How does California Polytechnic State University-San Luis Obispo's Parks & Recreation program score?
This program scores 33/100 — on the lower end for Parks & Recreation. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Parks & Recreation to AI automation?
AI won't 'replace' Parks & Recreation careers outright, but it is likely to reduce the number of job openings. We model 56% 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 →