2026 Best Value Data Processing Technology Schools in District of Columbia

[Data Processing Technology](/majors/computer-information-sciences/data-processing/data-processing-tech/) is a field worth comparing on the balance of cost and outcomes. The best values balance affordable tuition against strong post-graduation earnings.
College Factual analyzed 2 schools to build this 2026 ranking of the best value data processing technology schools.
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2026 Best Value Data Processing Technology Schools in District of Columbia
Below are the schools that deliver the strongest value in data processing technology, balancing cost against outcomes.
Best Value Data Processing Technology Schools
For return on investment in data processing technology, no school beat George Washington University this year. Located in the city of Washington, George Washington University is a very large private not-for-profit university. Students from in state pay about $67,710 in tuition and fees. Data Processing Technology graduates carry a median of $22,910 in student loans. Early-career data processing technology graduates make about $73,749. That is a strong return on a $22,910 median debt. The acceptance rate is 47%.
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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 · 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.