The Ph.D. program in Mathematics aims to provide students with rigorous training in the field of mathematical sciences in the areas of pure and applied mathematics, as well as the ability to conduct independent research and engage in discovery. The degree prepares students for advanced theoretical understanding while providing scope for applications in interdisciplinary contexts that can enrich diverse fields such as science, engineering, and public health.
The faculty in the Department of Mathematical Sciences are experts in a range of varied and topical areas of mathematics that they each care deeply about. In the area of applied or computational mathematics, some of the research strengths involve computational fluid dynamics, mathematical modelling and prediction of infectious diseases, the use of stochastic modeling, and the application of data science to public health - all the meanwhile dealing with real world problems utilising applied mathematics and computation to advance real learning. These areas overlap with rigorous modelling as well as computational methods that allow students to take part in solving real problems to advance scientific knowledge, enable societal function, and create policies "to deliver better health outcomes and to promote their practice." In terms of pure mathematics, we offer depth and breadth in terms of expertise related to wavelet analysis, nonlinear dynamics, number theory, algebra, and functional analysis, among others, which opens the door for doctoral candidates to engage in foundational mathematics but also engage with/think about/interrogate interconnections with connections to other fields.
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