2023 Most Well Attended Data Science, General Major in Virginia

When pursuing a degree in today’s world, students have many different options to choose from. College Factual has developed its “Most Well Attended Data Science, General Major in Virginia” 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 Virginia, there were 11 data science, general graduates with average earnings and debt of $0 and $0 respectively.

This year’s “Most Well Attended Data Science, General Major in Virginia” ranking analyzed 2 colleges that offered a degree in data science, general. This ranking identifies schools that graduate the most students in data science, general.

See our ranking methodology to learn more.

More Ways to Rank Data Science, General Schools

The data science, general school you choose to invest your time and money in matters. To help you make the decision that is right for you, we’ve developed a number of major-specific rankings, including this list of “Most Well Attended Data Science, General Major in Virginia”.

You can create your own custom comparison that focuses on the factors most important to you using our tool, College Combat. 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.

Most Well Attended Data Science, General Major in Virginia

The colleges and universities below are the best for virginia data science, general students.

Top 2 Most Popular Colleges for Data Science, General in Virginia

1

William & Mary
Williamsburg, Virginia

#4 overall quality in Virginia

$47,762 Average Early-Career Earnings

$19,322 Average Student Debt

You’ll be in good company if you decide to attend William & Mary. It ranked #1 on our 2023 Most Well Attended Data Science, General Major in Virginia list. William & Mary is located in Williamsburg, Virginia and, has a medium-sized student population. In 2020-2021, this school awarded 8 ’s data science, general degrees to qualified students.

With a freshman retention rate of 93%, the school does an excellent job of retaining its undergraduate students. The school has an impressive undergrad student loan default rate. It’s only 0.7%, which is much lower than the national rate of 10.1%.

Full William & Mary Data Science, General Report

2

Roanoke College
Salem, Virginia

#17 overall quality in Virginia

$32,335 Average Early-Career Earnings

$26,907 Average Student Debt

You’ll join some of the best and brightest minds around if you attend Roanoke College. The school came in at #2 for the Most Well Attended Data Science, General Major in Virginia. Roanoke College is located in Salem, Virginia and, has a small student population. In 2020-2021, this school awarded 0 ’s data science, general degrees to qualified students.

The school has an impressive undergrad student loan default rate. It’s only 3.6%, which is much lower than the national rate of 10.1%.

Read more about Data Science, General at Roanoke College

• Most Popular Colleges for Data Science, General in the Southeast Region
• Most Popular Colleges for Data Science, General

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

• *Avg Salary and Avg 4-Year Grad Rate 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.