2022 Best Vallue Data Science, General Schools for a Master’s in the Southeast Region For Those Making Over $110k

Students have lots of options to chooose from today when trying to decide which college to attend. College Factual has developed its “Best Vallue Data Science, General Schools for a Master’s in the Southeast Region For Those Making Over $110k” ranking as one item you can use to help make this decision.

With 294 degrees handed out in 2019-2020, data science, general is the most popular major in the United States.

Across the Southeast region, there were 7 data science, general graduates with average earnings and debt of $0 and $0 respectively. At the master’s degree level specifically, there were 7 data science, general graduates with average earnings and debt of $53,950 and $43,286 respectively.

This ranking identifies schools with high-quality data science, general programs that also have a lower cost than schools of similar quality.

When determining these rankings, we looked at things such as overall quality of the data science, general program at the school and the cost to attend the school once aid has been awarded. For more information, check out our ranking methodology.

More Ways to Rank Data Science, General Schools

When choosing the right school for you, it’s important to arm yourself with all the facts you can. To that end, we’ve created a number of major-specific rankings, including this “Best Vallue Data Science, General Schools for a Master’s in the Southeast Region For Those Making Over $110k” list to help you make the college decision.

One of our other unique offerings is College Combat. This tool lets you build your own customized comparisons utilizing the factors that are most important to you. Test it out when you get a chance! You may also want to bookmark the link and share it with others who are trying to make the college decision.

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Best Vallue Data Science, General Schools for a Master’s in the Southeast Region For Those Making Over $110k

The colleges and universities below are the best for southeast region master’s degree data science, general students whose families make more than $110k.

Top 1 Best Value Master’s Degree Colleges for Data Science, General (Income Over $110k) in the Southeast Region

#1

University of Alabama at Birmingham

Birmingham, Alabama

#1 in overall quality

$19,188 Avg Grad Tuition & Fees

You’ll be in good company if you decide to attend University of Alabama at Birmingham. It ranked #1 on our 2022 Best Vallue Data Science, General Schools for a Master’s in the Southeast Region For Those Making Over $110k list. University of Alabama at Birmingham is located in Birmingham, Alabama and, has a large student population. In 2019-2020, this school awarded 7 masters’s data science, general degrees to qualified students.

UAB also took the #1 spot in our “Best Data Science, General Master’s Degree Schools in the Southeast Region” ranking. Average graduate tuition and fees at University of Alabama at Birmingham are $19,188, but you may pay more or less depending on your major.

Read full report on Data Science, General at UAB

• Best Value Master’s Degree Colleges for Data Science, General (Income Over $110k)

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

Footnotes

• *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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