data science

From field hockey to football, teams rely on statistics to evaluate players, opponents, and strategy. “What we have now is so much better than just a few years ago,” says men’s basketball coach Luke Flockerzi. “I can’t imagine what’s in store in the years ahead.”

Kim Stagg ’17 covers a lot of ground during each soccer team practice and game. Thanks to an innovative data science program, she and her coaches now know just how much. In fact, she left cleat marks on more than 90% of Fauver Stadium during last season's closer against Emory. Stagg and her teammates wear GPS devices that track movement, heart rate, and exertion levels, helping her coaches know how much recovery time she might need to avoid injury.

One of the first Rochester students to graduate with a BA in data science, Ulrik Soderstrom ’16, ’17 (MS) is combining his love of math and computers with a passion for environmental sustainability and renewables.

Researchers can track the flu, consumer preferences, and movie box office sales, all from the millions of tweets posted every day.

The more Donald Trump tweeted, the faster his following grew, even after he sparked controversies. This is among the many findings from an exhaustive 14-month study of each candidate's tweets during the 2016 election by researchers Jiebo Luo and Yu Wang.

The University's third annual "summer school" in big data gives everyone from undergraduates to tenured faculty a chance to learn how programming and data visualization could impact their research projects.

Twitter founder Jack Dorsey chose the name because "twitter" described "a short inconsequential burst of information.” And yet, the social network is anything but inconsequential in terms of data science research and its applications. Twitter, which went public on this date in 2006, is fertile ground for Rochester researchers interested in tracking everything from disease outbreaks to the dynamics of political campaigns and consumer preferences.

Can a computer make you a better public speaker? Researchers from the Rochester Human Computer Interaction group created a project that aims to do just that. T

Solomon Abiola believes it is well within our reach to predict the spread of infectious diseases like Zika and Ebola with the same accuracy we predict hurricanes. And this fall, he will have a chance to make his case on an international stage.

This spring, the inaugural crop of students in Rochester’s new data science programs—at the undergraduate and master’s degree levels—are completing their first year of study at the Goergen Institute for Data Science, a program of the Schools of Arts & Sciences.