Management Sciences and Quantitative Methods at University of Connecticut-Avery Point

Groton, CT · Public · Bachelor's Degree
84 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
85
Optimistic
84
Base Case
80
Pessimistic
Earnings $71,600/yr (14% vs median)
AI Risk Very High (55% exposed)
Job Market Very Large (492,600 openings/yr)
ROI 13.0x earnings multiple (5.6x out-of-state)
Ranked #20 of 118 Management Sciences and Quantitative Methods programs Top 25%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Management Sciences and Quantitative Methods graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $937K $906K $742K
Earnings Multiple (In-State) 13.4x 13.0x 10.6x
Earnings Multiple (Out-of-State) 5.8x 5.6x 4.6x
Probability of Field Employment 71% 66% 44%
DegreeOutlook Score 85 84 80

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$69,848
Out-of-state: $160,520 (5.6x ROI)
4-Year Net Price (After Aid)
$46,016
34% less than sticker · See by income
Median Debt at Graduation
$23,250
3.9 months of Year 1 earnings
Reported Earnings (5 Year)
$103,314
44% growth from Year 1

Program Analysis

University of Connecticut-Avery Point's Management Sciences and Quantitative Methods graduates start at $71,600/yr — above the $62,729 national average, though not by a wide margin.

With a 13.0x return on in-state tuition over ten years, the financial case for this program is compelling by virtually any measure.

The 21% difference between AI scenarios reflects partial automation exposure. Some Management Sciences and Quantitative Methods career paths face displacement, but others in the field are more insulated.

Loan repayment is a non-issue here — $23,250 in median debt clears quickly against $71,600 in annual earnings.

University of Connecticut-Avery Point ranks #20 among 118 Management Sciences and Quantitative Methods programs, placing it in the top 5% nationally by our financial outcomes measure.

A 44% earnings increase from $71,600 to $103,314 over five years is solid — not a moonshot, but evidence of normal career advancement.

About University of Connecticut-Avery Point

A 87% acceptance rate means University of Connecticut-Avery Point is accessible to most applicants, with a smaller student body of 464 in Groton, CT. Financial aid reduces the effective four-year cost to $46,016 — 34% less than the list price.

See all programs and financial aid at University of Connecticut-Avery Point →

Top Career Paths

Chief executives $206,420/yr
Actuaries $125,770/yr
Data scientists $112,590/yr
View all 12 career paths with salary ranges and AI risk →

Compare & Explore

Management Sciences and Quantitative Methods at Other Schools

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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 does a 84/100 DegreeOutlook Score mean for Management Sciences and Quantitative Methods at University of Connecticut-Avery Point?
At 84/100, this is a high-performing program. The DegreeOutlook Score combines earnings, AI resilience, and ROI — and this program delivers on all three.
Should I worry about AI if I study Management Sciences and Quantitative Methods at University of Connecticut-Avery Point?
The 55% 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 University of Connecticut-Avery Point one of the best schools for Management Sciences and Quantitative Methods?
Among 118 Management Sciences and Quantitative Methods programs, University of Connecticut-Avery Point's #20 position reflects consistently above-average results across earnings, ROI, and employment probability.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →