Data Science Courses

Code Course Credits

DSC 201

Introduction to Data Science

Offered: Fall Semesters

Introduction to the theory and practice of data science. This course exposes students to the range of applications across fields and provides rudimentary coverage of data structures, simple data queries, the types and goals of analytic models and modern visualization. Lecture, exercises, projects and guest speakers.

Prerequisite(s): Any of the following Statistical Reasoning courses: BUS 206, CHM 331, CRM 311, ECO 241, EDU 301, MTH 145, MTH 207, MTH 225, MTH 396, POL 210, PSY 261, or SOC 311
Course may be applied to the Data Science and Sports, Science & Society programs.


DSC 395

Data Science Integrated Project

Offered: Offered Periodically

This is a project-based interdisciplinary course, required of all minors. Students apply data management and analytical skills to large scale data mining and modeling projects appropriate to their major disciplines. Participating students meet weekly in a seminar format, working with faculty guides, to design and develop their projects, reporting regularly to the seminar about progress and challenges.

Prerequisite(s): DSC 201, CSC 103, CSC 104 and one additional data science minor course. Open to Data Science minors only.
Course may be applied to the Data Science program.