- Humanities
- Interdisciplinary Minors
Data analytics is an interdisciplinary minor that combines statistics and computer science, preparing students to understand how to ask questions and present answers about a world in which exponentially growing amounts of quantitative data are becoming available. The minor trains students to organize and assemble large data sets, process them, and use them to describe and answer questions about the world in all of its complexity. In the context of the Ursinus core curriculum, the minor asks students to consider the question, “How can we understand the world?”
A minor in data analytics consists of 24 credits, with 16–20 credits in required courses. Required courses are as follows:
Programming courses (prerequisites for DATA classes)
Data Classes
In addition, data analytics minors must complete between four to eight elective credits to reach 24 credits in the minor. The following courses will satisfy the elective requirement: