Romance Languages & Literatures at CUNY Hunter College

New York, NY · Public · Bachelor's Degree · Romance Languages, Literatures, and Linguistics
42 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
43
Optimistic
42
Base Case
35
Pessimistic
Earnings $30,534/yr (-12% vs median)
AI Risk Very High (58% exposed)
Job Market Large (75,000 openings/yr)
ROI 18.4x earnings multiple (8.8x out-of-state)
Ranked #47 of 198 Romance Languages & Literatures programs Top 25%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Romance Languages & Literatures graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $549K $542K $496K
Earnings Multiple (In-State) 18.6x 18.4x 16.8x
Earnings Multiple (Out-of-State) 9.0x 8.8x 8.1x
Probability of Field Employment 43% 38% 27%
DegreeOutlook Score 43 42 35

10-Year Earnings Projection

*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.

4-Year Tuition, In-State (Sticker)
$29,528
Out-of-state: $61,328 (8.8x ROI)
4-Year Net Price (After Aid)
$9,784
67% less than sticker · See by income
Reported Earnings (5 Year)
$53,642
76% growth from Year 1

Program Analysis

At $30,534/yr, Romance Languages & Literatures graduates from CUNY Hunter College land near the $34,637 national average — neither a standout nor a red flag.

With a 18.4x return on in-state tuition over ten years, the financial case for this program is compelling by virtually any measure.

The 10% difference between AI scenarios reflects partial automation exposure. Some Romance Languages & Literatures career paths face displacement, but others in the field are more insulated.

CUNY Hunter College ranks #47 among 198 Romance Languages & Literatures programs, placing it in the top 5% nationally by our financial outcomes measure.

The $30,534-to-$53,642 earnings arc over five years reflects a 76% gain — well above average career growth for recent graduates.

About CUNY Hunter College

CUNY Hunter College accepts 54% of applicants, balancing access with selectivity, serving 16,642 students in New York, NY. With 55% of students on Pell Grants, the campus draws from a broad economic spectrum. After financial aid, the average student pays $9,784 over four years — 67% below sticker price.

See all programs and financial aid at CUNY Hunter College →

Top Career Paths

Foreign language and literature teachers, postsecondary $77,010/yr
Secondary school teachers, except special and career/technical education $64,580/yr
Interpreters and translators $59,440/yr
View all 3 career paths with salary ranges and AI risk →

Compare & Explore

Romance Languages & Literatures at Other Schools

Other Majors at CUNY Hunter College

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

What does a 42/100 DegreeOutlook Score mean for Romance Languages & Literatures at CUNY Hunter College?
At 42/100, the financial outlook is modest. Higher-scoring Romance Languages & Literatures programs exist, though non-financial factors may justify this choice.
Should I worry about AI if I study Romance Languages & Literatures at CUNY Hunter College?
The 58% AI task exposure score is above average. Our model shows this affecting job availability more than salaries — graduates may face stiffer competition for fewer positions.
Is CUNY Hunter College one of the best schools for Romance Languages & Literatures?
Among 198 Romance Languages & Literatures programs, CUNY Hunter College's #47 position reflects consistently above-average results across earnings, ROI, and employment probability.
What do students actually pay for Romance Languages & Literatures at CUNY Hunter College?
The 67% gap between sticker price and net cost means most students pay far less than $29,528. At a net cost of $9,784, the earnings multiple improves substantially.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →