Bernard Ricca (Mathematics), Program Director

Faculty Advisors: B. Evan Blaine (Statistics), Kathleen Donovan (Political Science), Anne K. Geraci (Mathematics and Computer Science), Kris Green (Mathematics), Elizabeth Leboffe (Mathematics and Computer Science)

The minor in data science is an interdisciplinary program of study that incorporates statistics, computing and programming, data skills, and a problem-solving approach to data analysis. Required coursework instills the basic competencies expected of data scientists, including how to clean and explore data, work with databases, and build predictive models. The data science student is equipped with a set of statistical and methodological tools for drawing insights from real data and applying those insights to make decisions in various fields.

The choice of two interdisciplinary electives, which link the data science minor with the students' major field(s), provides the disciplinary element needed for doing data science. One of the required courses - STAT 375 - incorporates a data science project in which found data is analyzed and guided by disciplinary questions of interest, thus providing students with a mini-capstone experience.

Data Science (Minor)

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