Academics

Prerequisites

The BA in Data Analytics requires prior completion of an introductory statistics course and a sufficient background in high-school mathematics to enroll in pre-calculus.

Degree Core

The 19-credit hour core of the degree comprises 6 technical courses taken in the first two years. These focus on topics of fundamental and immediate use in analytics and its applications.

  • Mathematics for Data Analytics (MTH 133 or ISA 250)
  • Statistical Modeling, Regression or Research Methods ( STA 363, ISA 291, or POL 306)
  • Programming and Scripting for Data Analytics (STA/POL 308)
  • Building, Managing and Exploring Data Sets in Analytics (STA/POL 309)
  • Professional Communication for Data Analytics (ENG/STC 285)
  • Data Ethics and Society (PHL/HST/GIC 286)

Concentrations

Along with the degree core above, students choose an 18-19-credit hour concentration in one of several fields. Each concentration includes 6 courses that can be taken across 3 or 4 years.

Currently, the following concentrations are offered:

  • Geospatial Analytics
  • Bioinformatics
  • Sport Analytics (pending final approval)

Additional concentrations in the social sciences and humanities are under development.