Minor in Data Science

This minor is intended to provide students with preliminary data collection, manipulation, access and/or analysis skills as are appropriate to data needs in their majors. (22-23 credits)

The following courses are required:

  • 4 credits – CSC 201 or 211
  • 3-4 credits – STA 308, 409, 411, or 412
  • 3 credits – MTH 215
  • 4 credits – CSC 310 or STA 305 (Intro. to Statistical Computing with R)
  • 4 credits – CSC 461 (Machine Learning) or STA 441 (Multivariate Methods)
  • 4 credits – CSC 320 (Social Issues in Computing)

Optional: In addition each student is encouraged to take one class that is integrative and that is focused in applying data science principles/skills to a data intensive domain area. For example, CSC 499, STA 490, etc.