English Language and Literature, General at Central Connecticut State University

New Britain, CT · Public · Bachelor's Degree
37 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
38
Optimistic
37
Base Case
30
Pessimistic
Earnings $35,859/yr (18% vs median)
AI Risk Very High (61% exposed)
Job Market Large (73,200 openings/yr)
ROI 10.2x earnings multiple (5.0x out-of-state)
Ranked #65 of 493 English Language and Literature, General programs Top 25%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to English Language and Literature, General graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $513K $510K $473K
Earnings Multiple (In-State) 10.3x 10.2x 9.5x
Earnings Multiple (Out-of-State) 5.0x 5.0x 4.6x
Probability of Field Employment 48% 41% 29%
DegreeOutlook Score 38 37 30

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$49,840
Out-of-state: $102,944 (5.0x ROI)
4-Year Net Price (After Aid)
$65,740
-32% less than sticker · See by income
Median Debt at Graduation
$26,000
8.7 months of Year 1 earnings
Reported Earnings (5 Year)
$49,870
39% growth from Year 1

Program Analysis

Graduates earn $35,859/yr, edging above the $30,427 national average for English Language and Literature, General — a modest premium that suggests solid regional demand.

Every dollar of in-state tuition returns an estimated 10.2x in decade earnings — an exceptional ratio that places this among the highest-ROI English Language and Literature, General programs nationally.

Some AI exposure exists in English Language and Literature, General's typical career paths, with 61% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 8% gap from the optimistic case.

Median debt of $26,000 represents roughly 9 months of the $35,859 starting salary — a manageable burden by most borrower standards.

At #65 of 493 nationally, this is a top-5% English Language and Literature, General program. Financial outcomes consistently outperform the vast majority of peers.

Earnings grow from $35,859 to $49,870 over five years — a 39% increase that's moderate and in line with typical career progression.

About Central Connecticut State University

Central Connecticut State University has a 76% acceptance rate, making it broadly accessible, serving 7,670 students in New Britain, CT.

See all programs and financial aid at Central Connecticut State University →

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
View all 3 career paths with salary ranges and AI risk →

Compare & Explore

English Language and Literature, General at Other Schools

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Explore the Trade Alternative

Not every career requires a four-year degree. Trade programs in related fields can offer competitive salaries with a fraction of the student loan burden.

Frequently Asked Questions

What is the DegreeOutlook Score for English Language and Literature, General at Central Connecticut State University?
A score of 37/100 indicates below-average financial outcomes for English Language and Literature, General. Earnings, ROI, or AI risk factors are pulling the score down.
Will AI replace English Language and Literature, General careers?
With 61% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $472,598 in decade earnings vs $512,561 in the optimistic case — a meaningful gap.
What makes Central Connecticut State University's English Language and Literature, General program stand out?
Ranked #65 of 493 programs nationally, Central Connecticut State University lands in the top 25%. The ranking reflects a combination of graduate earnings, return on investment, and job market alignment.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →