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 
Modeling, Data and Predictions (MDP) 
No 
No 
Yes 
Statistics 
Yes 
Yes 
Yes, oneyear 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 and Learning Program
The Graduate Teaching and Learning Program is a supplementary, postbaccalaureate 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 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 nonacademic 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.