Environmental Engineering at University of Connecticut
Storrs, CT · Public · Bachelor's Degree · Environmental/Environmental Health Engineering
DegreeOutlook Score (Base Case) — assumes in-state tuition
50
Optimistic
49
Base Case
47
Pessimistic
Earnings
$64,950/yr (2% vs median)
AI Risk
Very High (50% exposed)
Job Market
Medium (23,100 openings/yr)
ROI
8.1x earnings multiple (3.8x out-of-state)
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Environmental Engineering graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $677K | $660K | $589K |
| Earnings Multiple (In-State) | 8.3x | 8.1x | 7.2x |
| Earnings Multiple (Out-of-State) | 3.9x | 3.8x | 3.4x |
| Probability of Field Employment | 73% | 66% | 48% |
| DegreeOutlook Score | 50 | 49 | 47 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$81,464
Out-of-state: $172,136 (3.8x ROI)
Median Debt at Graduation
$21,500
4.0 months of Year 1 earnings
About University of Connecticut
University of Connecticut's 54% acceptance rate reflects moderate selectivity, serving 19,147 students in Storrs, CT.
See all programs and financial aid at University of Connecticut →Top Career Paths
Architectural and engineering managers
$167,740/yr
Health and safety engineers, except mining safety engineers and inspectors
$109,660/yr
Engineering teachers, postsecondary
$106,120/yr
Compare & Explore
Environmental Engineering at Other Schools
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Frequently Asked Questions
How does University of Connecticut's Environmental Engineering program score?
This program scores 49/100 — on the lower end for Environmental Engineering. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Environmental Engineering to AI automation?
AI won't 'replace' Environmental Engineering careers outright, but it is likely to reduce the number of job openings. We model 50% 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 →