For Prospective Students

Why We're Different

Application-oriented program designed for students with no coding background

Proximity to D.C. allows interaction with real-world policymakers and problems

Flexibility to tailor the program to your own interests

Research opportunities and affiliations across campus, including Linguistics, Biology, Applied Science, Government, and more

Investigation of the moral implications of algorithms for society

Our Data Science students explore patterns in large data sets and identify potential trends and insights. Our approach is interdisciplinary, blending topics from many fields: communications, philosophy, mathematics, computer science, and information science. This approach means that you are not expected to begin our program with a computer programming background.

Degree Programs
Courses

Course topics include ethics, data visualization, programming, and machine learning. See the Undergraduate Catalog to explore the complete list of Data Science courses.

Research

The interdisciplinary nature of our program means that professors from many different disciplines are active in research using our methods. You can tailor your research experience by selecting to work with a faculty advisor in one of our affiliate research labs

Careers

Managers and analysts who can analyze data to make effective decisions are in great demand. Our graduates are well positioned to fill these roles.

Talk to Us

Want to know more? Our current students and faculty want to connect with you.

More About W&M