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College Factual  by our College Data Analytics Team
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2026 Best Value Management Sciences & Quantitative Methods Schools in District of Columbia

3 Colleges in the United States
$21,848 Avg Student Debt
$86,247 Avg Median Earnings (10yr)
2026 Best Value Management Sciences & Quantitative Methods Badge [Management Sciences & Quantitative Methods](/majors/business-management-marketing-sales/management-science-quantitative-methods/) programs reward a close look at where your money goes furthest. The best values balance affordable tuition against strong post-graduation earnings.

For its 2026 best-value ranking, College Factual looked at 4 schools to find the best return on investment for management sciences & quantitative methods students.

What’s on this page:

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2026 Best Value Management Sciences & Quantitative Methods Schools in District of Columbia

Below are the schools that deliver the strongest value in management sciences & quantitative methods, balancing cost against outcomes.

Best Value Management Sciences & Quantitative Methods Schools

1

For return on investment in management sciences & quantitative methods, no school beat Catholic University Of America this year. Set in the city of Washington, Catholic University Of America is a moderately-sized private not-for-profit institution. The average in-state cost of tuition and fees is $58,378. Typical student debt for management sciences & quantitative methods graduates is $25,771. Management Sciences & Quantitative Methods graduates of Catholic University Of America earn a median of $65,120 early in their careers. Set against $25,771 in median debt, that is a healthy payoff. The acceptance rate is 83%.

2

The strong cost-to-outcome balance at George Washington University earned it the #2 place for management sciences & quantitative methods. Set in the city of Washington, George Washington University is a very large private not-for-profit institution. Students from in state pay about $67,710 in tuition and fees. Management Sciences & Quantitative Methods graduates carry a median of $21,000 in student loans. Early-career management sciences & quantitative methods graduates make about $66,362. Set against $21,000 in median debt, that is a healthy payoff. Roughly 47% of applicants are accepted.

3
Georgetown University crest
Georgetown University
Washington, DC

Georgetown University is a great value for students pursuing a degree in management sciences & quantitative methods, landing the #3 spot this year. Georgetown University is a very large private not-for-profit school located in the city of Washington. In-state tuition and fees average $68,089. Typical student debt for management sciences & quantitative methods graduates is $16,483. Early-career management sciences & quantitative methods graduates make about $133,398. Set against $16,483 in median debt, that is a healthy payoff. The acceptance rate is 13%.

4
American University crest
American University
Washington, DC

Students looking for strong value in management sciences & quantitative methods will find it at American University, which ranked #4. Located in the city of Washington, American University is a large private not-for-profit university. Students from in state pay about $58,771 in tuition and fees. Management Sciences & Quantitative Methods graduates carry a median of $24,139 in student loans. Soon after graduation, management sciences & quantitative methods degree recipients from American University generally make around $94,453. That is a strong return on a $24,139 median debt. Roughly 62% of applicants are accepted.

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Notes and References

The ranking above is published by College Factual (MF_RANKING_2025), 2026 edition. Schools are scored on the balance of cost (tuition and student debt) against student outcomes (post-graduation earnings) — a measure of return on investment, drawn primarily from the U.S. Department of Education (IPEDS and College Scorecard).

Ranking method: College Major Best Value · 4 schools evaluated.

*Averages shown above reflect the top 3 ranked schools only.

More about our data sources and methodologies.

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