Music at Capital University
Columbus, OH · Private nonprofit · Bachelor's Degree
DegreeOutlook Score (Base Case)
26
Optimistic
26
Base Case
15
Pessimistic
Earnings
$33,143/yr (18% vs median)
AI Risk
High (47% exposed)
Job Market
Very Large (101,600 openings/yr)
ROI
2.9x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Music graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $485K | $486K | $453K |
| Earnings Multiple | 2.9x | 2.9x | 2.7x |
| Probability of Field Employment | 35% | 31% | 24% |
| DegreeOutlook Score | 26 | 26 | 15 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$167,152
Median Debt at Graduation
$27,000
9.8 months of Year 1 earnings
Reported Earnings (5 Year)
$44,322
34% growth from Year 1
About Capital University
With 73% of applicants admitted, Capital University prioritizes broad access, a smaller institution with 1,709 students in Columbus, OH. After financial aid, the average student pays $94,340 over four years — 44% below sticker price.
See all programs and financial aid at Capital University →Top Career Paths
Art, drama, and music teachers, postsecondary
$80,190/yr
Sound engineering technicians
$66,430/yr
Secondary school teachers, except special and career/technical education
$64,580/yr
Compare & Explore
Music at Other Schools
Other Majors at Capital University
Consider the Trade Route?
Trade programs often mean less time in school, lower student debt, and hands-on career paths that tend to be more resilient to AI disruption.
Frequently Asked Questions
How does Capital University's Music program score?
This program scores 26/100 — on the lower end for Music. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Music to AI automation?
AI won't 'replace' Music careers outright, but it is likely to reduce the number of job openings. We model 47% 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 →