Programs

The Department of Mathematical and Statistical Sciences offers graduate programs leading to the degree of Master of Science and Doctor of Philosophy in a number of fields in the general areas of pure mathematics, applied mathematics, mathematical finance, mathematical physics, statistics, biostatistics, and statistical machine learning.

Graduate programs

The Department of Mathematical and Statistical Sciences offers the following graduate programs:


 

Degree Program

Research Area

PhD

MSc Thesis Based

MSc Course Based

Mathematics (Including: Algebra, Classical and Functional Analysis, Geometry, Probability, Topology)

Yes

Yes

Yes

Applied Math (Including: Differential Equations, Dynamical Systems, Fluid Dynamics, Mathematical Biology, Scientific Computing)

Yes

Yes

Yes

Mathematical Finance

Yes

Yes

Yes

Mathematical Physics

Yes

Yes

Yes

Statistics

Yes

Yes

Yes, one-year program

Biostatistics

No

Yes

Yes

Statistical Machine Learning

Yes

Yes

No     

Details of the graduate programs can be found in the Regulations and Guidelines for Graduate Programs.

The Graduate Teaching and Learning Program

The Graduate Teaching and Learning Program is a supplementary, post-baccalaureate certificate in University teaching instruction open to all students. 

The *NEW* Embedded Certificate in Data Science

Students planning to pursue a degree in Pure or Applied Mathematics, or Mathematical Physics my find it interesting that the Department offers an Embedded Certificate in Data Science. The intention of this certificate is to provide students with marketable skills for the non-academic job market, but is likely also helpful in academic settings. Students are awarded the certificate if they complete three courses (out of a large list of possibilities), as well as the Graduate Teaching and Learning Program (Level 1). Depending on individual circumstances, the courses taken for the certificate may or may not count towards course requirements in the actual degree program.