English at Arizona State University Digital Immersion
Scottsdale, AZ · Public · Bachelor's Degree · English Language and Literature, General
DegreeOutlook Score (Base Case)
32
Optimistic
31
Base Case
25
Pessimistic
Earnings
$33,615/yr (10% vs median)
AI Risk
Very High (61% exposed)
Job Market
Large (73,200 openings/yr)
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to English graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $521K | $517K | $478K |
| Probability of Field Employment | 48% | 41% | 29% |
| DegreeOutlook Score | 32 | 31 | 25 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
Median Debt at Graduation
$21,375
7.6 months of Year 1 earnings
Reported Earnings (5 Year)
$50,363
50% growth from Year 1
About Arizona State University Digital Immersion
Arizona State University Digital Immersion's 64% acceptance rate reflects moderate selectivity, serving a student body of 49,000 in Scottsdale, AZ.
See all programs and financial aid at Arizona State University Digital Immersion →Top Career Paths
English language and literature teachers, postsecondary
$78,270/yr
Secondary school teachers, except special and career/technical education
$64,580/yr
Proofreaders and copy markers
$49,210/yr
Compare & Explore
English at Other Schools
Other Majors at Arizona State University Digital Immersion
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 Arizona State University Digital Immersion's English program score?
This program scores 31/100 — on the lower end for English. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is English to AI automation?
AI won't 'replace' English careers outright, but it is likely to reduce the number of job openings. We model 61% 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 →