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Best Data Processing Master's Degree Schools

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2023 Best Data Processing Master's Degree Schools

5 Colleges

Finding the Best Data Processing Master's Degree School for You

In 2020-2021, 1,955 data processing students received their degrees and certificates, making the major the #9 most popular in the country.

It's not easy to decide which computer science program to enroll in when you have so many options available. Along with traditional schools that require in-person attendence, you can attend one of many reputable online schools. Some programs even offer a hybrid experience. Alternatively, you may choose a trade school that prepares you to enter the workforce with knowledge in a specific field.

To help you arm yourself with the information you need to make your decision, Computer Science Degree Search has developed this Best Data Processing Master's Degree Schools ranking. This report analyzed 5 schools in the United States to see which ones offered the best master's degree programs for computer science students. Factors related to overall quality of the school, post-graduation earnings, average student debt, and more accumulated were considered when coming up with this list.

View our full ranking methodology.

2023 Best Data Processing Master’s Degree Schools in the United States

The colleges and universities below are the best for data processing majors pursuing a master's degree.

Top Schools for a Master's in Data Processing

Our analysis found George Washington University to be the best school for data processing students who want to pursue a master’s degree in the United States. Located in the large city of Washington, GWU is a private not-for-profit school with a fairly large student population.

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#2

Boston University

Boston, MA

Out of the 5 schools in the United States that were part of this year’s ranking, Boston University landed the # 2 spot on the list. Boston U is a very large private not-for-profit school located in the city of Boston.

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#3

University of San Francisco

San Francisco, CA

The excellent master’s degree programs at University of San Francisco helped the school earn the #3 place on this year’s ranking of the best data processing schools in the United States. Located in the city of San Francisco, USFCA is a private not-for-profit school with a fairly large student population.

Full Data Processing at University of San Francisco Report

Out of the 5 schools in the United States that were part of this year’s ranking, University of Nevada - Las Vegas landed the # 4 spot on the list. UNLV is a fairly large public school located in the medium-sized city of Las Vegas.

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#5

Fordham University

Bronx, NY

You’ll join some of the best and brightest minds around you if you attend Fordham University. The school came in at #5 on this year’s Best Data Processing Master’s Degree Schools list. Fordham U is a fairly large private not-for-profit school located in the city of Bronx.

Full Data Processing at Fordham University Report

Data Processing by Region

View the Best Data Processing Master's Degree Schools for a specific region near you.

Region
Southeast
New England
Rocky Mountains
Plains States
Middle Atlantic
Far Western US
Southwest
Great Lakes

Data Processing is one of 10 different types of computer science programs to choose from.

Data Processing Concentrations

Major Annual Graduates
Data Processing Technology 1,955

Related Major Annual Graduates
Computer Information Systems 88,434
Computer Science 59,565
Information Technology 40,555
Information Science 18,325
Computer Systems Networking 14,700

Notes and References

*These averages are for the top 5 schools only.

  • Read more about our ranking methodology.
  • 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 the rest 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).
  • Credit for the banner image above goes to Kenneth Jensen.

More about our data sources and methodologies.

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