2026 Best Value Computational Science Schools in District of Columbia

[Computational Science](/majors/multi-interdisciplinary-studies/computational-science/computational-science/) is a field worth comparing on the balance of cost and outcomes. A high-value program keeps cost low while graduates go on to earn well.
To produce this 2026 ranking, College Factual evaluated 2 schools on the balance of cost and outcomes for computational science students.
What’s on this page:
2026 Best Value Computational Science Schools in District of Columbia
If you want to know which schools deliver the best value for the computational science degrees they offer, see the list below.
Best Value Computational Science Schools
Georgetown University tops our 2026 list of the best value computational science schools in District of Columbia. Set in the city of Washington, Georgetown University is a very large private not-for-profit institution. In-state tuition and fees average $68,089. Students borrow a median of $16,483 to complete the computational science program here. Soon after graduation, computational science degree recipients from Georgetown University generally make around $79,632. Set against $16,483 in median debt, that is a healthy payoff. The acceptance rate is 13%.
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Notes and References
The ranking above is published by College Factual (MF_RANKING_2025), 2026 edition. The methodology weighs the cost of a degree against the earnings graduates go on to achieve, drawn primarily from the U.S. Department of Education (IPEDS and College Scorecard).
Ranking method: College Major Best Value · 2 schools evaluated.
*Averages shown above reflect the top 1 ranked schools only.
- The Integrated Postsecondary Education Data System (IPEDS) from the National Center for Education Statistics (NCES), a branch of the U.S. Department of Education (DOE), serves as the core of our data about colleges.
- Some other college data, including much of the graduate earnings data, comes from the U.S. Department of Education’s (College Scorecard).
More about our data sources and methodologies.