U-STA-AB - Statistical Science (AB)

The Department of Statistical Science coordinates teaching and research in the statistical sciences at Duke University. In its teaching and research, the department’s faculty members emphasize modern statistical methods involving computationally intensive stochastic modeling, coupled with interdisciplinary applications in many fields. The department also offers courses in basic statistical and data science methods and advanced mathematical statistics. 

The major in statistical science provides students with exposure to modern statistical reasoning and data science principles as well as the skills needed to develop, analyze, and utilize statistical techniques for addressing quantitative, data-based problems in a wide array of application domains, including but not limited to natural and social sciences and the humanities. The course of study exposes students to a broad range of statistical methods using tools from mathematical and computational sciences. Students who complete the major in statistical science will be well prepared for careers in technology and business, where they must appreciate and accommodate uncertainty in their decision-making, and for further study and embarking on research in science, law, business, or other fields.

As part of the course of study, majors in statistical science can complete a research project under the supervision of a faculty member. These projects can involve the analysis of complex data, the development of new methods or theory, or the extension and evaluation of existing techniques. The director of undergraduate studies can facilitate linking majors to a research mentor, who works with students to develop and complete the research project. Students earn credit for their research by taking Statistical Science 393 or 493 (up to one independent study can be used towards the major or minor, with prior approval of the director of undergraduate studies).

Website: stat.duke.edu/undergraduate/major