The department ensures that findings in biomedicine and public health are supported by reliable evidence, not fiction or fashion. As statisticians, we know that research needs to take chance, variability, and uncertainty into account.
Message From the Chair
“The big data era will prompt the development of new methods that are well suited for quantifying evidence, driving discovery, and enabling prediction from large-scale data.” Read More
For Current Students
Find out about degree requirements, course descriptions, certificates, practicum information, financial aid and other resources. Read More
35 Full-Time Faculty
124 Master’s Students
40 Doctoral Students