English at Spelman College
Atlanta, GA · Private nonprofit · Bachelor's Degree · English Language and Literature, General
DegreeOutlook Score (Base Case)
33
Optimistic
33
Base Case
27
Pessimistic
Earnings
$31,129/yr (2% vs median)
AI Risk
Very High (61% exposed)
Job Market
Large (73,200 openings/yr)
ROI
5.2x earnings multiple
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 | $640K | $621K | $550K |
| Earnings Multiple | 5.3x | 5.2x | 4.6x |
| Probability of Field Employment | 48% | 41% | 29% |
| DegreeOutlook Score | 33 | 33 | 27 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$120,232
Median Debt at Graduation
$25,314
9.8 months of Year 1 earnings
Reported Earnings (5 Year)
$64,244
106% growth from Year 1
About Spelman College
A 34% acceptance rate puts Spelman College in competitive admissions territory, a compact campus enrolling 3,633 students in Atlanta, GA.
See all programs and financial aid at Spelman College →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 Spelman 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 Spelman College's English program score?
This program scores 33/100 — 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 →