The Data Science Interdisciplinary Minor at Davidson

The data science interdisciplinary minor is open to students from all academic divisions who wish to develop skills in using and analyzing data.

Such data skills can complement and enhance liberal arts study across a broad range of subject matters and interests. In the humanities, the minor provides technical skills that can powerfully complement the writing, creativity and critical analysis encouraged in humanities courses. In social sciences, the minor promotes facility with data supplements and enhances your ability to analyze and understand societal questions and problems. In natural sciences and mathematics, the minor deepens data management skills and can improve quantitative analysis in all major fields.

Whatever your major, a data science minor provides transferable skills such as understanding data and its different forms, communicating effectively about data, methods, and conclusions and drawing meaning from data.

Application Process

If you wish to declare a data science minor you must first complete the application. You should do this in discussion with one of our coordinators, Prof. Laurie Heyer (Mathematics and Computer Science) at or Prof. Pat Sellers (Political Science) at as early as possible, and no later than the fall semester of senior year.

Courses You Might Take

ANT 377

Imaging the Earth


The use of geographical information systems (GIS) to analyze, model, and present spatial relationships in the biological and social sciences, supplemented by other packages such as Google Earth. Field collection of spatial data with GPS units. Course is…

DIG 270

Digital Maps, Space & Place


A course in the theories and practices of digital mapping as applied to the humanities and social sciences. The course brings together readings in the digital spatial humanities as well as hands-on mapping and spatial analysis through programming…

ECO 105

Stats & Basic Econometrics

M. Foley, Stroup, Gouri Suresh

Application of probability and statistics to economic analysis. Topics include: probability rules, discrete and continuous random variables, confidence intervals, hypothesis tests, correlation, and regression. Spreadsheet software is utilized. An economics research paper is a…