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.
Course topics include ethics, data visualization, programming, and machine learning. See the Undergraduate Catalog to explore the complete list of Data Science courses.
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.
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.
- Get an inside look: contact a current Data Science major
- Ask a professor: contact [[mleu, Matthias Leu, Program Chair]] or
- contact [[rdsmith, Ronald Smith]]