PhD in Statistics

The PhD in Statistical Science is the highest academic credential for a statistician and calls for deep understanding of current statistical theory and practice. The degree blends theory, computation and data analysis, and students are expected to be proficient in all three. Faculty research spans biostatistics, contemporary statistical methodology, big data, analytics, machine learning, applied probability, networks, computing, imaging and bioinformatics. Applications are welcomed from students with a bachelor's or master's degree in mathematics, statistics, computer science, engineering or another discipline, including social science, that includes mathematical training and a course in advanced calculus completed with a strong grade. Students entering with a master's may transfer credit and should have background equivalent to certain applied probability, statistics and inference courses, or they may need to take them. Deadlines are available from the Office of Graduate Admissions.