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 |
No |
No |
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 University Calendar.
The Graduate Teaching + Learning Program
The Graduate Teaching and Learning Program is a supplementary, post-baccalaureate certificate in University teaching instruction open to all students.
The Embedded Certificate in Data Science
Students planning to pursue a degree in Pure or Applied Mathematics, or Mathematical Physics may 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 toward course requirements in the actual degree program.