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 121

Programming & Problem Solving

Instructor
Seminario

An introduction to computer science and structured programming, including algorithmic thinking, using control structures, essential data structures, creating functions, recursion, and object-oriented programming.

Satisfies the Mathematical and Quantitative Thought requirement.
Satisfies a requirement in the Data Science interdisciplinary minor…

ECO 105

Stats & Basic Econometrics

Instructor
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…

PSY 367

Psychological Modeling

Instructor
Eiler

In this seminar we will explore modeling techniques used in psychological science. Example analytic techniques that may be covered include: linear and non-linear models, agent-based modeling, network analysis, natural language processing, machine learning, systems modeling, dynamical/complex systems, or…