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Mathematical and Statistical Modelling

This interdisciplinary PhD program is research-focused where you develop expertise in using the tools of mathematical and statistical modelling, contribute in creative and innovative ways to solving complex interdisciplinary problems, carry out independent research, and learn to communicate effectively with researchers in other disciplines. You will perform research on problems that come from diverse application domains. The unifying theme is that mathematical and statistical modelling is used as a fundamental tool to inform your work.

These approaches are crucial in areas ranging from traditional applications in physical and computer sciences, engineering and technology to diverse emerging applications in health and life sciences, finance, business and economics, environment and ecology, as well as in governance and social systems. Applied mathematical and statistical modelling becomes a cornerstone of further progress in crucial areas of human endeavour, fundamentally influencing our well-being, while our success in this process will inevitably lie with a holistic approach based on interdisciplinary skills to problem-solving.

Research Strengths and Application Domains

The program encourages interdisciplinary and collaborative research involving the development, analysis, and utilization of mathematical and statistical models in applications. To distinguish the work of graduates of this program, the official transcript of the diploma will state the subject of their studies (PhD in Mathematical and Statistical Modelling) and the title of their dissertation. The main research domains are identified as:

  • Health, Environment and Ecology (HEE)
  • Finance, Business and Economics (FBE)
  • Complex Systems, Information and Big Data (CSIBD)

These research domains are not formalized and you do not declare a domain. You may work on research that spans more than one domain.


Every Laurier student is issued an email address at initial registration. Official communications from the university will be forwarded to this address. It is your responsibility to check it regularly. If you need help, contact the Information and Communication Technologies Service Desk.