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 laheyer@davidson.edu or Prof. Pat Sellers (Political Science) at pasellers@davidson.edu as early as possible, and no later than the fall semester of senior year.

Courses You Might Take

CSC 120

Programming in the Humanities

Instructor
Kabala

Computational methods have significantly broadened and deepened the possibilities of inquiry in the Humanities. Programming skills have allowed textual scholars, in particular, to take advantage of enormous digitized corpora of historical documents, newspapers, novels, books, and social network…

DIG 120

Programming in the Humanities

Instructor
Kabala

Computational methods have significantly broadened and deepened the possibilities of inquiry in the Humanities. Programming skills have allowed textual scholars, in particular, to take advantage of enormous digitized corpora of historical documents, newspapers, novels, books, and social network…

ECO 205

Econometrics

Instructor
M. Foley, Stroup

Applications of linear regression analysis to economic analysis. Topics include model specification, parameter estimation, inference, and problems relating to data issues, statistical concerns, and model diagnostics. Statistical software is utilized. An economics research paper is a major…