The curriculum features a balance of application, computation, and theory with particular emphasis in the areas of biostatistics/informatics and analytics. Areas of faculty and graduate student research activity include bioinformatics, biostatistics, business and financial analytics, forensic statistics, and general statistics. The program is particularly effective at preparing graduates to work in business, industry, or government as well as preparing students to continue on to the CSS PhD or other PhD program.

Many graduate research and teaching assistantships are available, though applicants should note that admission to the program does not guarantee that an assistantship or fellowship will be awarded.