Clair Smith (Economics), Chair

The Data Analytics major prepares students to generate and visualize datasets, interpret results, and communicate findings. Students can apply these skills in the social and behavioral sciences as well as areas such as business, health, and public policy.

  • Statistical Methods and Theory.This domain includes statistical theory, experimental and other study design, statistical models, and data analytic methods.
  • Data Science. This domain includes statistical programming, algorithmic thinking, simulation-based statistical techniques, machine-based learning, and skills for managing and manipulating data and doing reproducible statistical science.
  • Statistical Practice and Problem Solving. This domain includes communication and collaboration skills and opportunities for statistical practice and problem solving. Problem solving experiences emphasize real research questions, dealing with messy data, using an array of statistical tools, and drawing appropriate conclusions.
  • Discipline-Specific Knowledge. All Data Analytics majors take a social science discipline intro course and have a minor/second major. The program provides opportunities for students to apply statistical reasoning to disciplinary questions and problems through elective choice



Data Analytics

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