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Best Value Data Processing Graduate Certificate Schools

2023 Best Value Data Processing Graduate Certificate Schools

Identifying Quality Schools at More Affordable Prices

3 Colleges
$21,266 Avg Tuition & Fees*

Finding the Best Data Processing Graduate Certificate School for You

In 2020-2021, 1,955 people earned a degree or certificate in data processing, making the major the #228 most popular in the United States.

There are lots of options to pick from today when trying to decide which program is right for you. You can choose a traditional brick and mortar school, or with the growth of online education, you can attend a school half-way across the country without even leaving your house. Also there are many trade schools that offer short-term programs that open up more career options.

To assist you in seeing some of the education options that are available to you, Course Advisor has created its Best Value Data Processing Graduate Certificate Schools ranking. This report analyzed 3 schools in the United States to see which ones offered the best value graduate certificate programs for data processing students. The goal was to highlight schools with more affordable prices than others offering similar quality experiences.

When determining this ranking, we place a high emphasis on the school's quality as well as its sticker price. Even though a college may be affordable, it may not offer value. More specifically, we discount our quality score by the published tuition and fees charged by a school. This gives the cost per unit of quality for each college. The value is determined by how much quality your dollar buys.

Our calculations use out-of-state tuition and fees in our nationwide and regional rankings. Average in-state tuition and fees are used for our statewide rankings.

Best Schools for Affordable Quality for a Postbaccalaureate Certificates in Data Processing

You’ll join some of the best and brightest minds around you if you attend Missouri University of Science and Technology. The school came in at #2 on this year’s Best Value Data Processing Graduate Certificate Schools list. Located in the town of Rolla, Missouri University of Science and Technology is a public college with a moderately-sized student population.

Missouri University of Science and Technology graduate students pay an average of $31,008 in tuition and fees each year.

Missouri University of Science and Technology also claimed a spot on our Best Data Processing Graduate Certificate Schools list. It’s in the top 10% of all schools in this category.

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You’ll join some of the best and brightest minds around you if you attend University of Nevada - Las Vegas. The school came in at #3 on this year’s Best Value Data Processing Graduate Certificate Schools list. Located in the medium-sized city of Las Vegas, UNLV is a public college with a very large student population.

UNLV graduate students pay an average of $22,698 in tuition and fees each year.

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

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Data Processing by Region

View the Best Value Data Processing Graduate Certificate 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 10 majors within the area of study, data processing has other similar majors worth exploring.

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 3 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 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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