Familiarity with statistical concepts and methods up to and including applied linear regression. Additional coursework in a quantitative area, such as mathematics (advanced calculus or real analysis, are highly desirable), statistics, computer science, quantitative psychology or other social science, or bioinformatics. Familiarity with C, Java, Fortran, or some other higher-level computer programming language.

Bachelor

Students who are admitted to the PhD program receive five years of financial support throughout the academic year (fall and spring). Financial support is contingent upon satisfactory progress toward a degree in statistics, as judged by the graduate faculty of the School of Statistics. MS students are not guaranteed any financial support.