2023 Schools Highly Focused on Data Science Major in Virginia

Students have lots of options to chooose from today when trying to decide which college to attend. At College Factual, we’re committed to helping you make that decision by providing information such as that found in our “Schools Highly Focused on Data Science Major in Virginia” ranking.

Data Science is the 282nd most popular major in the country with 541 degrees awarded in 2020-2021.

Across Virginia, there were 11 data science graduates with average earnings and debt of $0 and $0 respectively.

For this year’s “Schools Highly Focused on Data Science Major in Virginia” ranking, we looked at 2 colleges that offer a degree in data science. That schools that top this list have a program in data science in which the largest percentage of students at the school are enrolled.

Check out our ranking methodology for more information.

One Size Does Not Fit All

Since the program you select can have a significant impact on your future, we’ve developed a number of rankings, including this “Schools Highly Focused on Data Science Major in Virginia” list, to help you choose the best school for you.

You can create your own custom comparison that focuses on the factors most important to you using our tool, College Combat. We encourage you to try it out and pit your favorite colleges and universities head to head! If you don’t have time right now, you can bookmark it for later.

Schools Highly Focused on Data Science Major in Virginia

The following schools top our list of the Best “Schools Highly Focused on Data Science Major in Virginia”.

Top 2 Most Focused Colleges for Data Science 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 Schools Highly Focused on Data Science 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 degrees to qualified students.

Students who start out at the school are likely to stick around. The freshman retention rate is 93%. The low undergrad student loan default rate of 0.7% 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%.

Read full report on Data Science at William & Mary

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 Schools Highly Focused on Data Science Major in Virginia. Located in Salem, Virginia, this small private not-for-profit school handed out 0 diplomas to qualified ’s data science students in 2020-2021.

The undergrad student loan default rate at the school is 3.6%, which is quite low when compared to the national default rate of 10.1%.

Full Roanoke College Data Science Report

• Most Focused Colleges for Data Science in the Southeast Region
• Most Focused Colleges for Data Science

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.