# Graduate: PhD Program

## Qualifying Exams and Course Requirements

**QUALIFYING EXAMS **(current)

- Mathematical Analysis
- Linear Algebra and Matrix Theory
- Linear Models
- Mathematical Statistics.

**Computational Course Requirements **(current)

- Computational Discrete Mathematics
- Numerical Methods
- Statistical Computing

**Qualifying Exams & Course Requirements **(from Fall 2024)

All students must successfully complete written qualifying exams (obtaining PhD passes) in two out of the following four one-semester courses:** **

- Mathematical Analysis
- Linear Algebra
- Introduction to Probability
- Introduction to Mathematical Statistics

In addition, all students must successfully complete a third course from the list above, or from the following list:

- Numerical Linear Algebra
- Mathematical Data Science 1: Foundations

PhD qualifying exams schedule**: **August, January & May. For continued funding consideration, GTAs must complete this requirement at the latest by January of their second year. For continuation in the program, students must complete this requirement at the latest by May of their second year. Students will be allowed a maximum of only three attempts per exam. Students who come with adequate preparations may take these qualifying exams (without taking the courses here) in August of their first year. This attempt will not count towards the “maximum of only three attempts per exam restriction” specified above. Students with adequate preparation may also satisfy the third course requirement by earning at least an MA pass on a third qualifying exam from the first list of four exams in August of their first year.

**Computational Courses Requirements **(from Fall 2024)

All students must successfully complete two out of following three one-semester courses:

- Computational Discrete Mathematics
- Numerical Methods
- Statistical Computing