News & Stories in:

Data science

Broadway in New York City lights up at night

Bucknell Study Explores Return on Investment in Broadway Musicals

Just before the Tony Awards, Professor Sam Gutekunst and Chris Kopac '25 uncover new insights into the risks and rewards of investing in Broadway.

Emanneul Mudungwe stands and smiles in a hallway in Holmes Hall while wearing a navy Bucknell T-shirt

Emanneul Mudungwe '28, Finance

Emanneul Mudungwe '28 is building skills for a future in wealth management through a hands-on data science experience.

Max Wilson ’27 smiles while standing outside.

Max Wilson '27, Business Analytics

Max Wilson '27 turned his love for football into an academic pursuit at Bucknell, using business analytics to explore NFL player rankings.

Professors Sam Gutekunst (right) and  Joe Wilck (center) discuss an NFL-related research project with student Max Wilson '27 (left)

Bucknell Researchers Predict Next NFL Scorigami in New Paper

The computer science researchers found that 32-26 has the highest probability of being the next NFL scorigami in their paper, to be presented at the Winter Simulation Conference.

Kona Glenn is wearing an orange and blue rowing uniform and a pink Bucknell baseball cap as she smiles and carries a boat along a riverbank.

Kona Glenn '25, Computer Science & Engineering and Applied Mathematics

Kona Glenn '25 found her perfect fit at Bucknell, where she found a supportive community that encouraged her to pursue both engineering and rowing.

Sam Gutekunst is wearing a blue shirt and tan pants and stands and smiles on campus with sunlight shining through green leaves behind him.

Sam Gutekunst, Mathematics and Computer Science

Sam Gutekunst, the John D. and Catherine T. MacArthur Assistant Professor of Data Science, provides students with hands-on experiences that help them understand, apply and appreciate the significance of data science.

Michael Dominguez '91 poses in a blue suit.

Dominguez Center for Data Science to Open at Bucknell University

The new center will advance the scholarship of data science by fostering cross-college, data-integrated learning and excellence in data literacy among students.