IX. Graduate Programs
Mathematics and Statistics
PhD Program
Admission Requirements
A candidate for the PhD degree program must possess a recognized master's degree obtained with high academic standing. Also, a member of the department's graduate faculty must agree to act as an advisor to the student.
Degree Requirements
The PhD degree is primarily a research degree. For that reason, course work commonly comprises a smaller proportion of the student's effort than in the master's program. Course requirements are as follows:
Applied Mathematics
Students must successfully complete 2.0 graduate-course credits. Depending upon the student's academic background, further courses may be prescribed. The required four courses must include at least two core courses selected from:
| MATH*6012 | [0.50] | Dynamical Systems II |
| MATH*6022 | [0.50] | Optimization II |
| MATH*6410 | [0.50] | Numerical Analysis II |
| MATH*6042 | [0.50] | Partial Differential Equations II |
All courses are chosen in consultation with the advisory committee. Additional courses may be required at the discretion of the advisory committee and/or the departmental graduate committee. With departmental approval, some courses given by other universities may be taken for credit.
Applied Statistics
Students must successfully complete 2.0 graduate-course credits. Depending upon the student's academic background, further courses may be prescribed. Students must take the following courses as part of the four required courses (providing that these courses were not taken as part of the student's master's-degree program):
| STAT*6802 | [0.50] | Advanced Data Analysis II |
| STAT*6841 | [0.50] | Statistical Inference |
| STAT*6860 | [0.50] | Linear Statistical Models |
All courses are chosen in consultation with the student's advisory committee. Additional courses may be required at the discretion of the advisory committee and/or the departmental graduate committee. With departmental approval, some courses given by other universities may be taken for credit.