The Ph.D. program in Applied Statistics is a research-intensive program designed for students who demand the utmost depth and understanding of statistical methods to solve applied problems with innovation. The techniques and skills that students learn prepare them to become professionals in a broad range of statistics-driven fields, from academia to research-based industrial settings.
The Applied Statistics faculty support students interested in a diverse range of statistical topics, including linear models, data mining, statistical process control, statistical computing, nonparametric and robust methods, change and anomaly detection, and statistical network analysis.
See a list of our faculty and review their recent awards and presentations.
Interested in learning more? Contact us:
Dr. Volodomyr Melnykov