Statistics majors choose to pursue one of three emphases. Please follow the links to find out more information:
- Applied Statistics: very flexible, facilitating a double major or extensive elective course work in a field in which statistics is applied.
- General Statistics: emphasizes statistical theory and is especially recommended as preparation for graduate studies in statistics.
- Computational Statistics: emphasizes computing and it is designed for students particularly interested in the computational and data management aspects of statistical analysis.
The undergrad curriculum in Statistics provides majors with the skills needed to utilize statistical techniques for addressing quantitative, data-based problems in fields such as biological and social sciences, engineering and technology, business and finance, law, and health and education. Students graduating with a Statistics degree will learn the basics of
- statistical reasoning and inferential methods
- statistical modeling and its limitations
- interpreting and communicating the results of a statistical analysis
- data analysis using statistical computing tools and software
- probability and the mathematical foundations of statistics