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Management Sciences and Quantitative Methods at University of Connecticut-Stamford

Stamford, CT · Public · Bachelor's Degree

DegreeOutlook Score (Base Case) — assumes in-state tuition

Optimistic

Base Case

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 #21 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)

$69,888

Out-of-state: $160,560 (5.6x ROI)

4-Year Net Price (After Aid)

$56,236

20% 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

At $71,600 per year, Management Sciences and Quantitative Methods graduates from University of Connecticut-Stamford earn slightly above the $62,729 national median. The premium is real but not dramatic.

Every dollar of in-state tuition returns an estimated 13.0x in decade earnings — an exceptional ratio that places this among the highest-ROI Management Sciences and Quantitative Methods programs nationally.

Some AI exposure exists in Management Sciences and Quantitative Methods's typical career paths, with 55% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 21% gap from the optimistic case.

The median debt load of $23,250 represents less than half a year of starting salary — among the lightest debt-to-income ratios we track.

At #21 of 118 nationally, this is a top-5% Management Sciences and Quantitative Methods program. Financial outcomes consistently outperform the vast majority of peers.

Earnings grow from $71,600 to $103,314 over five years — a 44% increase that's moderate and in line with typical career progression.

About University of Connecticut-Stamford

With 80% of applicants admitted, University of Connecticut-Stamford prioritizes broad access, with a smaller student body of 2,177 in Stamford, CT. 50% of students receive Pell Grants, indicating strong socioeconomic diversity.

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

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

Other Majors at University of Connecticut-Stamford

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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 is the DegreeOutlook Score for Management Sciences and Quantitative Methods at University of Connecticut-Stamford?

This program scores 84/100 — placing it among the stronger programs for Management Sciences and Quantitative Methods nationally. The score reflects above-average earnings, manageable AI risk, and solid financial return.

Will AI replace Management Sciences and Quantitative Methods careers?

With 55% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $741,546 in decade earnings vs $937,134 in the optimistic case — a meaningful gap.

What makes University of Connecticut-Stamford's Management Sciences and Quantitative Methods program stand out?

Ranked #21 of 118 programs nationally, University of Connecticut-Stamford 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 →