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		Dynamical Systems II
MATH*6022		Optimization II
MATH*6410		Numerical Analysis II
MATH*6042		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. In addition to the courses, the student will be required to participate in the Graduate Seminar and make one oral presentation in each year of full-time enrolment.

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		Advanced Data Analysis II
STAT*6860		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. In addition to the courses, the student will be required to participate in the Graduate Seminar and make one oral presentation in each year of full-time enrolment.