Data Science
Data Science is an interdisciplinary co-major available to students majoring in business analytics, computer science, statistics or mathematics. The program allows students to build upon their home major by choosing data science-specific courses from across Bucknell's three colleges. In addition to technical course requirements, students will select a theme related to issues and applications of data science as they leverage Bucknell's liberal arts foundation to enrich their studies.
From Theory to Application
In data science, theory informs practice, while application drives change. At Bucknell, you're given the opportunity to dig deep into some of the most long-standing and complex data science topics in existence or take on real-world data to help companies and organizations discover solutions. Through hands-on research, you'll gain a depth of knowledge and a solid foundation across the full spectrum of data science.
The Dominguez Center for Data Science
Data Excellence
The new Dominguez Center for Data Science will launch in 2024, and with it, programming that leverages curriculum, research and the expertise of faculty from all three of Bucknell's colleges. Students can expect real-world, hands-on learning experiences that prepare them for 21st century careers and foster ethical data-driven decision-making and creative problem-solving, no matter their area of study.
Bucknell prepares students to think critically, leverage interdisciplinary skills, and communicate effectively — a potent combination ripe for high-impact work in data science. It's been incredibly exciting to see just how much Bucknell students have already accomplished in data science.
Professor Sam Gutekunst, the John D. and Catherine T. MacArthur Assistant Professor of Data Science