Statistics majors choose to pursue a Bachelor of Arts or a Bachelor of Science. The Bachelor of Science has five emphases. Please follow the links below to find out more information about our major tracks.
Bachelor of Arts
Emphasizes statistical applications. This major track is recommended for students who are interested in applications of statistical techniques to various disciplines, especially the social sciences.
Bachelor of Science
Emphasizes statistical applications. This major track is recommended for students who are interested in applications of statistical techniques to various disciplines including the biological, physical and social sciences.
Emphasizes computing. This major track is recommended for students interested in the computational and data management aspects of statistical analysis.
Emphasizes statistical theory and is especially recommended as preparation for graduate study in statistics.
(EFFECTIVE FALL 2020) Emphasizes algorithmic and theoretical aspects of statistical learning methodologies that are geared towards building predictive and explanatory models for large and complex data. It is recommended for students interested in pursuing graduate programs in statistics, machine learning, or data science, as well as for students interested in learning statistical techniques for industry.
Emphasizes data handling skills and statistical computation. This track is recommended for students interested in statistical learning methodology, advanced data handling techniques and computational 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