The Department of Statistics is among the nation's oldest and most prestigious, having been founded by renowned statistician Gertrude Cox in 1941. It provides a dynamic environment for core, cutting-edge and collaborative research as well as teaching across disciplines, with formal programs in genetic, environmental, and industrial statistics, as well as biostatistics, bioinformatics, and biomathematics. It also has strong programs in mathematical statistics, statistics education, and work in a wide range of applications. The faculty are well-known for excellence in research and teaching, and have received numerous honors. Several are members of the NC State's Academy of Outstanding Teachers, and are Fellows of our professional societies. Faculty research is well-supported by the National Science Foundation and National Institute of Health, among other agencies. Faculty members are well represented on editorial boards and in positions of leadership in our professional societies.
The statistics graduate program is the largest in the country, with about 250 graduate students between our online and in-person Master’s programs, and our PhD students. Our thriving online Master’s program allows access to the same high-quality courses and instruction we offer on campus with more flexibility for balancing work and life. The undergraduate program meanwhile has approximately 275 students. Our programs attract a diverse set of quality students from around the world. Students benefit from research partnerships and traineeship programs held with public and private organizations located in the Research Triangle Park and on the Centennial Campus. Campus collaborations range from Agriculture to Zoology! Furthermore, the statistics department’s collaborative work is closely tied to NC State’s Data Science Academy and the Libraries – programs that have received national recognition for their successes.
The Department is the "birthplace" of SAS Institute – the world's largest privately owned software company, and one which specializes in statistical applications. It maintains a close relationship with SAS through student programs and other activities.