Home › University of South Carolina-Columbia › Management Sciences and Quantitative Methods

Management Sciences and Quantitative Methods at University of South Carolina-Columbia

Columbia, SC · Public · Bachelor's Degree

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

Optimistic

Base Case

Pessimistic

Earnings $68,804/yr (10% vs median)

AI Risk Very High (55% exposed)

Job Market Very Large (492,600 openings/yr)

ROI 15.8x earnings multiple (5.7x out-of-state)

Ranked #14 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	$825K	$802K	$673K
Earnings Multiple (In-State)	16.3x	15.8x	13.3x
Earnings Multiple (Out-of-State)	5.9x	5.7x	4.8x
Probability of Field Employment	71%	66%	44%
DegreeOutlook Score	85	85	81

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)

$50,752

Out-of-state: $139,736 (5.7x ROI)

4-Year Net Price (After Aid)

$98,128

-93% less than sticker · See by income

Median Debt at Graduation

$22,497

3.9 months of Year 1 earnings

Reported Earnings (5 Year)

$91,024

32% growth from Year 1

Program Analysis

At $68,804 per year, Management Sciences and Quantitative Methods graduates from University of South Carolina-Columbia earn slightly above the $62,729 national median. The premium is real but not dramatic.

With a 15.8x return on in-state tuition over ten years, the financial case for this program is compelling by virtually any measure.

The 19% 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.

The median debt load of $22,497 represents less than half a year of starting salary — among the lightest debt-to-income ratios we track.

University of South Carolina-Columbia ranks #14 among 118 Management Sciences and Quantitative Methods programs, placing it in the top 5% nationally by our financial outcomes measure.

A 32% earnings increase from $68,804 to $91,024 over five years is solid — not a moonshot, but evidence of normal career advancement.

About University of South Carolina-Columbia

University of South Carolina-Columbia accepts 61% of applicants, balancing access with selectivity, one of the larger campuses at 28,113 students in Columbia, SC.

See all programs and financial aid at University of South Carolina-Columbia →

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 South Carolina-Columbia

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 does a 85/100 DegreeOutlook Score mean for Management Sciences and Quantitative Methods at University of South Carolina-Columbia?

At 85/100, 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 South Carolina-Columbia?

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 South Carolina-Columbia one of the best schools for Management Sciences and Quantitative Methods?

Among 118 Management Sciences and Quantitative Methods programs, University of South Carolina-Columbia's #14 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 →