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2023 Most Popular Master’s Degree Colleges for Data Science, General in the Plains States Region

3 Ranked Colleges
30 Degrees Awarded
$32,800 Avg Cost*
Most Well Attended Data Science, General Major in the Plains States Region for a Master's

With all of the options students have for higher education today, it can be tough to choose which direction to take. College Factual has developed its “Most Well Attended Data Science, General Major in the Plains States Region for a Master’s” ranking as one item you can use to help make this decision.

Data Science, General is the 611th most popular major in the country with 526 degrees awarded in 2020-2021.

Across the Plains States region, there were 66 data science, general graduates with average earnings and debt of $0 and $0 respectively. At the master’s degree level specifically, there were 30 data science, general graduates with average earnings and debt of $55,401 and $0 respectively.

This year’s “Most Well Attended Data Science, General Major in the Plains States Region for a Master’s” ranking analyzed 3 colleges that offered a degree in data science, general. To top this list, a school must have a successful data science, general program that graduates more students in the field than other colleges that offer the same major.

Check out our ranking methodology for more information.

More Ways to Rank Data Science, General Schools

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Since the program you select can have a significant impact on your future, we’ve developed a number of rankings, including this “Most Well Attended Data Science, General Major in the Plains States Region for a Master’s” list, to help you choose the best school for you.

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. If you’re torn between two schools, you can use it to help you see how they stack up against one another. Bookmark it so you can compare any new schools that might interest you.

Most Well Attended Data Science, General Major in the Plains States Region for a Master’s

The following schools top our list of the Best “Most Well Attended Data Science, General Major in the Plains States Region for a Master’s”.

1

Out of the 3 schools in the Most Well Attended Data Science, General Major in the Plains States Region for a Master’s that were part of this year’s ranking, Maryville University of Saint Louis landed the #1 spot on the list. This fairly large school is located in Saint Louis, Missouri, and it awarded 27 masters’s data science, general degrees in 2020-2021.

The undergrad student loan default rate at the school is 2.3%, which is quite low when compared to the national default rate of 10.1%.

Read full report on Data Science, General at Maryville U

2
Walden University crest
Walden University
Minneapolis, Minnesota

You’ll be in good company if you decide to attend Walden University. It ranked #2 on our 2023 Most Well Attended Data Science, General Major in the Plains States Region for a Master’s list. Located in Minneapolis, Minnesota, this large private for-profit school awarded 3 diplomas to qualified masters’s data science, general students in 2020-2021.

The low undergrad student loan default rate of 4.7% is a good sign that students have an easier time paying off their loans than they might at other schools. For comparison, the national default rate is 10.1%.

Full Walden University Data Science, General Report

3

You’ll be in good company if you decide to attend University of Missouri - Kansas City. It ranked #3 on our 2023 Most Well Attended Data Science, General Major in the Plains States Region for a Master’s list. University of Missouri - Kansas City is a fairly large public school situated in Kansas City, Missouri. It awarded 0 masters’s data science, general degrees in 2020-2021.

The school has an impressive undergrad student loan default rate. It’s only 3.7%, which is much lower than the national rate of 10.1%.

Full University of Missouri - Kansas City Data Science, General Report

Notes and References

References

Read more about our data sources and methodologies

Footnotes

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