Degree Requirements

Course Requirements:

A total of 90 credit hours, including at least 60 credit hours of coursework; dissertation research to reach 90 credit hours.

Core courses (9 credit hours):
MATH-M 413: Introduction to Analysis I
STAT-S 610: Introduction to Statistical Computing
STAT-S 611: Applied Statistical Computing

Data Analysis courses (10 credit hours):
STAT-S 631: Applied Linear Models I
STAT-S 632: Applied Linear Models II
STAT-S 690: Statistical Consulting

Advanced Statistical Theory courses (12 credit hours):
STAT-S 721: Advanced Statistical Theory I
STAT-S 722: Advanced Statistical Theory II
plus at least two semesters of
STAT-S 785: Seminar on Statistical Theory

Research Project (3 credit hours):
STAT-S 799: Research in Statistics

Elective and Minor courses (26 credit hours):
All students must complete a Ph.D. minor in another graduate program. Minor requirements are specified by the awarding department and are described in the University Graduate School Bulletin. All elective and minor courses must be approved by the Director of Graduate Studies.

Qualifying Examination:

Students must pass a qualifying examination on Statistical Theory, and complete a 1-semester research project under faculty supervision.

Dissertation:

A dissertation is required. The dissertation represents original methodological research by the student. The research should be of sufficient quality to merit publication in peer-reviewed journals.