Radio, Television, and Digital Communication at Elon University
Elon, NC · Private nonprofit · Bachelor's Degree
DegreeOutlook Score (Base Case)
34
Optimistic
33
Base Case
30
Pessimistic
Earnings
$33,894/yr (8% vs median)
AI Risk
High (48% exposed)
Job Market
Very Large (144,300 openings/yr)
ROI
2.5x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Radio, Television, and Digital Communication graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $443K | $449K | $429K |
| Earnings Multiple | 2.5x | 2.5x | 2.4x |
| Probability of Field Employment | 48% | 42% | 32% |
| DegreeOutlook Score | 34 | 33 | 30 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$178,144
Median Debt at Graduation
$19,500
6.9 months of Year 1 earnings
About Elon University
With a 67% acceptance rate, Elon University is moderately selective, with a mid-sized student body of 6,402 in Elon, NC.
See all programs and financial aid at Elon University →Top Career Paths
Managers, all other
$136,550/yr
Web and digital interface designers
$98,090/yr
Producers and directors
$83,480/yr
Compare & Explore
Radio, Television, and Digital Communication at Other Schools
Other Majors at Elon 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 Elon University's Radio, Television, and Digital Communication program score?
This program scores 33/100 — on the lower end for Radio, Television, and Digital Communication. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Radio, Television, and Digital Communication to AI automation?
AI won't 'replace' Radio, Television, and Digital Communication careers outright, but it is likely to reduce the number of job openings. We model 48% 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 →