The Applied Statistics Ph.D.
A rigorous program preparing students for success in the new data-centered world.
The Ph.D. program in Applied Statistics is a research-intensive program designed for students who demand an in-depth understanding of statistical tools for solving real-world problems with innovation. The knowledge and skills that students learn prepare them to become professionals in a broad range of data-driven fields, including university professors and research statisticians in industry, government, and non-profit sectors.
The Applied Statistics professors support students interested in a diverse range of statistical topics including linear models, data mining and analytics, statistical process control, spatial statistics, longitudinal analysis, statistical computing, nonparametric and robust methods, change and anomaly detection, Bayesian inference, network analysis, and statistical learning.