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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, 205 people earned a degree or certificate in data processing, making the major the #224 most popular in the United States.

When it comes to higher education, there are a lot of options for students. With more and more schools offering online options, you could even register for a great program on the other side of the country. On top of that, there are a considerable number of trade schools that offer fast-track entry to many fields.

Along with in-depth profiles of schools and the programs they offer, Grad Degree Search has created the Best Data Processing Master's Degree Schools to help you in your search for the best school for you. Our analysis looked at 5 schools in the United States to see which master's degree programs offered the best educational experiences for students. The factors used to develop this ranking include those related to how in-demand the school is, the overall quality of the school, and post-graduation wages, and more.

View our full ranking methodology.

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

Check out the data processing master's degree programs at these schools if you want to get the best education that money can buy.

Top Schools for a Master's in Data Processing

Our 2023 rankings named George Washington University the best school in the United States for data processing students working on their master’s degree. GWU is a fairly large private not-for-profit school located in the large city of Washington.

Full Data Processing at George Washington University Report

#2

Boston University

Boston, MA

You’ll be in good company if you decide to attend Boston University. It ranked #2 on our 2023 Best Data Processing Master’s Degree Schools list. Located in the city of Boston, Boston U is a private not-for-profit school with a fairly large student population.

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#3

University of San Francisco

San Francisco, CA

A rank of #3 on this year’s list means University of San Francisco is a great place for data processing students working on their master’s degree. USFCA is a large private not-for-profit school located in the large city of San Francisco.

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. Located in the medium-sized city of Las Vegas, UNLV is a public college with a fairly large student population.

Read full report on Data Processing at University of Nevada - Las Vegas

#5

Fordham University

Bronx, NY

A rank of #5 on this year’s list means Fordham University is a great place for data processing students working on their master’s degree. Located in the city of Bronx, Fordham U is a private not-for-profit college with a large student population.

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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

One of 9 majors within the area of study, data processing has other similar majors worth exploring.

Majors Similar to Data Processing

Related Major Annual Graduates
Computer Information Systems 20,748
Computer Science 15,813
Information Technology 10,754
Information Science 6,934
Computer Software & Applications 4,047

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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