Psychology at Culver-Stockton College
Canton, MO · Private nonprofit · Bachelor's Degree · Psychology, General
DegreeOutlook Score (Base Case)
31
Optimistic
30
Base Case
29
Pessimistic
Earnings
$34,226/yr (8% vs median)
AI Risk
High (49% exposed)
Job Market
Very Large (125,000 openings/yr)
ROI
4.0x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Psychology graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $473K | $475K | $450K |
| Earnings Multiple | 4.0x | 4.0x | 3.8x |
| Probability of Field Employment | 51% | 47% | 34% |
| DegreeOutlook Score | 31 | 30 | 29 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$119,660
Median Debt at Graduation
$25,000
8.8 months of Year 1 earnings
Reported Earnings (5 Year)
$43,518
27% growth from Year 1
About Culver-Stockton College
Culver-Stockton College has a 98% acceptance rate, making it broadly accessible, a smaller institution with 884 students in Canton, MO.
See all programs and financial aid at Culver-Stockton College →Top Career Paths
Managers, all other
$136,550/yr
Psychologists, all other
$117,580/yr
Industrial-organizational psychologists
$109,840/yr
Compare & Explore
Psychology at Other Schools
Other Majors at Culver-Stockton College
Is a Trade Program a Better Fit?
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 Culver-Stockton College's Psychology program score?
This program scores 30/100 — on the lower end for Psychology. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Psychology to AI automation?
AI won't 'replace' Psychology careers outright, but it is likely to reduce the number of job openings. We model 49% 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 →