Analysis
UConn's computer science program operates in a challenging state environment—Connecticut's tech salaries simply don't match Boston or New York—yet it manages to place squarely in the middle of that pack while delivering earnings 23% above the national median for this degree. At just under $20,000 in debt versus $75,649 in first-year earnings, the financial fundamentals are solid, though Connecticut families should understand they're essentially paying Yale-level tuition (for in-state costs) to compete for jobs against Yale graduates who command nearly double the starting salary.
The 33% earnings growth to over $100,000 by year four suggests graduates either leave Connecticut for better markets or find their footing in Hartford's insurance tech corridor. Ranking in the 60th percentile among Connecticut programs means this is respectable but not exceptional within the state—you're getting a better deal than at most Connecticut schools, but not accessing the elite outcomes of Yale or even some smaller state campuses. The moderate sample size confirms this program produces steady tech employment rather than standout placement.
For families weighing UConn against out-of-state flagships with stronger tech recruiting pipelines, the trade-off is clear: you'll graduate with minimal debt and solid fundamentals, but you may need to hustle harder for that first premium job. If your child plans to stay in Connecticut anyway, this is a sensible choice that won't burden them financially.
Where University of Connecticut Stands
Earnings vs. debt across all computer and information sciences bachelors's programs nationally
Earnings Distribution
How University of Connecticut graduates compare to all programs nationally
Earnings Over Time
How earnings evolve from 1 year to 4 years after graduation
| School | 1 Year | 4 Years | Growth |
|---|---|---|---|
| University of Connecticut | $75,649 | $100,459 | +33% |
| Yale University | $133,293 | $203,685 | +53% |
| University of Connecticut-Hartford Campus | $75,649 | $100,459 | +33% |
| University of Connecticut-Waterbury Campus | $75,649 | $100,459 | +33% |
| University of Connecticut-Avery Point | $75,649 | $100,459 | +33% |
Compare to Similar Programs in Connecticut
Computer and Information Sciences bachelors's programs at peer institutions in Connecticut (17 total in state)
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| School | In-State Tuition | Earnings (1yr) | Earnings (4yr) | Median Debt | Debt/Earnings |
|---|---|---|---|---|---|
| $20,366 | $75,649 | $100,459 | $19,591 | 0.26 | |
| $64,700 | $133,293 | $203,685 | $12,750 | 0.10 | |
| $12,763 | $77,969 | — | $24,125 | 0.31 | |
| $17,452 | $75,649 | $100,459 | $19,591 | 0.26 | |
| $17,462 | $75,649 | $100,459 | $19,591 | 0.26 | |
| $17,462 | $75,649 | $100,459 | $19,591 | 0.26 | |
| National Median | — | $61,322 | — | $25,000 | 0.41 |
Career Paths
Occupations commonly associated with computer and information sciences graduates
Computer and Information Systems Managers
Computer and Information Research Scientists
Software Developers
Software Quality Assurance Analysts and Testers
Computer Network Architects
Telecommunications Engineering Specialists
Information Security Analysts
Database Administrators
Database Architects
Data Warehousing Specialists
Data Scientists
Business Intelligence Analysts
About This Data
Source: U.S. Department of Education College Scorecard (October 2025 release)
Population: Graduates who received federal financial aid (Title IV grants or loans). At University of Connecticut, approximately 24% of students receive Pell grants. Students who did not receive federal aid are not included in these figures.
Earnings: Median earnings from IRS W-2 data for graduates who are employed and not enrolled in further education, measured 1 year after completion. Earnings are pre-tax and include wages, salaries, and self-employment income.
Debt: Median cumulative federal loan debt at graduation. Does not include private loans or Parent PLUS loans borrowed on behalf of students.
Sample Size: Based on 43 graduates with reported earnings and 42 graduates with debt data. Small samples may not be representative.