2023 Best Value Data Processing Schools in District of Columbia For Those Making $0-$30k
1
Ranked Colleges
2
Degrees Awarded
$17,700
Avg Net Price*
When pursuing a degree in today’s world, students have many different options to choose from. Our mission at College Factual is to arm you with as much information as we can to help you make that decision. Our “Best Value Data Processing Schools in District of Columbia For Those Making $0-$30k” ranking is one tool we have developed to help in this regard.
In 2020-2021, 1,955 people earned their degree in data processing, making the major the 225th most popular in the United States. In 2019-2020, data processing graduates who were awarded their degree in 2017-2019, earned an average of $36,777 and had an average of $18,195 in loans still to pay off.
Across District of Columbia, there were 2 data processing graduates with average earnings and debt of $0 and $0 respectively.
Not only do the schools that top this list have excellent data processing programs, but they also cost less that schools of similar quality.
To come up with these rankings, we looked at factors such as the cost to attend the school after aid is awarded and overall quality of the data processing program at the school. Check out our ranking methodology for more information.
More Ways to Rank Data Processing Schools
Since picking the right college can be one of the most important decisions of your life, we’ve developed the “Best Value Data Processing Schools in District of Columbia For Those Making $0-$30k” ranking, along with many other major-related rankings, to help you make that decision.
We’ve created a tool called College Combat that lets you create your own customized comparisons based on the factors that matter the most to you. Test it out by comparing your favorite schools against others you are considering, or bookmark the tool so you can experiment with it later.
Best Value Data Processing Schools in District of Columbia For Those Making $0-$30k
The following schools top our list of the Best Best Value Data Processing Schools in District of Columbia For Those Making $0-$30k.
Top 1 Best Value Colleges for Data Processing (Income $0-$30k) in District of Columbia
Out of the 1 schools in the Best Value Data Processing Schools in District of Columbia For Those Making $0-$30k that were part of this year’s ranking, George Washington University landed the #1 spot on the list. George Washington University is located in Washington, District of Columbia and, has a large student population. In 2020-2021, this school awarded 2 ’s data processing degrees to qualified students.
As a testament to the quality of education offered at GWU, the school also landed the #1 spot in our “Best Data Processing Schools in District of Columbia” ranking. The yearly cost to attend GWU is $17,673 for District of Columbia Data Processing students whose families make $0-$30k.
The school has an impressive undergrad student loan default rate. It’s only 1.3%, which is much lower than the national rate of 10.1%. The school has an excellent freshman retention rate of 88%, which means students like the school well enough to return for a second year.
Read more about Data Processing at George Washington University
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Notes and References
References
- 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).
- Information about the national average student loan default rate is from the U.S. Department of Education and refers to data about the 2016 borrower cohort tracking period for which the cohort default rate (CDR) was 10.1%.
Read more about our data sources and methodologies
- *Average salary, average net price, and average tuition and fees are for the top schools only.
- Some schools otherwise deserving of recognition may have been removed from this ranking in the event that new data identified post-publication warranted it, or at the request of the school.
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