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College Factual  by our College Data Analytics Team
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2026 Best Value Data Processing Technology Master’s Degree Schools

3 Colleges in the United States
$28,644 Avg Student Debt
$78,084 Avg Median Earnings (10yr)
2026 Best Value Data Processing Technology Master's Degree Badge [Data Processing Technology](/majors/computer-information-sciences/data-processing/data-processing-tech/) programs reward a close look at where your money goes furthest. A high-value program keeps cost low while graduates go on to earn well.

To produce this 2026 ranking, College Factual evaluated 141 schools on the balance of cost and outcomes for data processing technology students.

What’s on this page:

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2026 Best Value Data Processing Technology Schools in the United States

If you want to know which schools deliver the best value for the data processing technology degrees they offer, see the list below.

Best Value Data Processing Technology Schools

1
Boston University crest
Boston University
Boston, MA

Boston University earned the #1 spot for value among data processing technology schools in the United States. Located in the city of Boston, Boston University is a very large private not-for-profit university. In-state tuition and fees average $68,102. Students borrow a median of $25,232 to complete the data processing technology program here. Soon after graduation, data processing technology degree recipients from Boston University generally make around $63,598. Weighed against typical debt, the earnings make a compelling case for value. Roughly 11% of applicants are accepted.

2

Northcentral University is a great value for students pursuing a degree in data processing technology, landing the #2 spot this year. Northcentral University is a large private not-for-profit school located in the city of San Diego. In-state tuition and fees average $12,594. Students borrow a median of $42,500 to complete the data processing technology program here. Early-career data processing technology graduates make about $62,828. Set against $42,500 in median debt, that is a healthy payoff.

3

George Washington University came in at #3 on our 2026 list of the best value data processing technology schools. Located in the city of Washington, George Washington University is a very large private not-for-profit university. Expect in-state tuition and fees of around $67,710. Data Processing Technology graduates carry a median of $22,910 in student loans. Soon after graduation, data processing technology degree recipients from George Washington University generally make around $73,749. Set against $22,910 in median debt, that is a healthy payoff. The acceptance rate is 47%.

4
University Of San Francisco crest
University Of San Francisco
San Francisco, CA

University Of San Francisco came in at #4 on our 2026 list of the best value data processing technology schools. Located in the city of San Francisco, University Of San Francisco is a large private not-for-profit university. Expect in-state tuition and fees of around $60,522. Data Processing Technology graduates carry a median of $23,935 in student loans. Soon after graduation, data processing technology degree recipients from University Of San Francisco generally make around $65,223. Set against $23,935 in median debt, that is a healthy payoff. Roughly 62% of applicants are accepted.

Other Data Processing Technology Degree Levels

Explore the best-value data processing technology schools at other degree levels:

All Degree Levels in Data Processing Technology
Associate's Degrees in Data Processing Technology
Bachelor's Degrees in Data Processing Technology
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View All Data Processing Technology Rankings >

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Notes and References

This ranking is produced 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 · 141 schools evaluated.

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

More about our data sources and methodologies.

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