PhD Program - Mathematics
Course requirements
Students complete core courses in general mathematics, applied mathematics, and statistics. Required elective courses are from areas such as algebra, analysis, combinatorics, data science, differential equations, numerical analysis, probability, scientific computing, statistics, and topology. Each student takes a practicum component aligned with their career interests. Students planning to enter academia take coursework in mathematics education.
Students planning to work outside of academia take 9 hours of internship and/or consulting. The culminating research activity is a dissertation. Graduates develop a well-balanced foundation in mathematics and the background needed to do original research in their field. A rich research environment supports each student’s research interests with a variety of weekly seminars and colloquia.
*Applicants who have completed a master’s degree in mathematics, statistics, or a closely related discipline from an accredited college or university can, upon approval of the program advisor, have up to 30 hours of coursework waived based on courses taken during the master’s degree that closely align with courses in the program.