Building the foundations of data science, considering its ethical and societal implications, and communicating its discoveries to make the most powerful and positive real-world impact.
Undergraduate Data Science Major
A curriculum combining computational and analytical skills, domain knowledge, communication skills, and ethics. See the Committee for Data Science for more.
The PhD curriculum combines training in mathematical foundations of data science, responsible data use and communication, and advanced computational methods.
Designed for professionals with backgrounds in technical fields who want to become data scientists, a program with rigorous classes, expert instructors, leading-edge technology, and an unparalleled network of industry professionals.
Earn a high-powered joint degree at the intersection of business and technology. An MBA and Applied Data Science degree equips you to bridge the gap between tech and management and provide effective leadership in data-centric environments.
The Master’s in Data Science (MSDS) has been developed for students interested in pursuing a research career in data science with courses taught by faculty from the departments of statistics, computer science, and many other departments across the university.
An experiential project-based course where students work in teams as data scientists with real-world clients from industry, academia, and social impact organizations.
A summer research opportunity for undergraduate students (and Chicago-area high school students) focusing on rigorous, applied, interdisciplinary data science research and rooted in a cohort community.
