Mathematical and Statistical Modelling (PhD)

About this programme

Mathematical and statistical modelling is essential in a wide range of industries. New types of highly qualified specialists are needed to develop, analyze and apply modern quantitative approaches to a variety of issues of high complexity. Our interdisciplinary PhD program will help you become an independent researcher capable of succeeding in careers in research, industry, teaching, or government. Laurier’s PhD in Mathematical and Statistical Modelling is an interdisciplinary program with strength in complex systems modelling, financial mathematics and statistics. The program is lead by faculty with national and international reputations in a diverse set of cross-disciplinary research. This full-time program is to be completed in four years. Students engage in a specific area of research under the supervision of one or more faculty members . Students start working on a research project in year one to become familiar with the area of research and develop a research proposal by year two. Typically, students complete two terms of coursework, followed by a comprehensive examination. All students must attend an Interdisciplinary Seminar in Applied Modelling and participate in a Research Modelling Symposium. Students perform research on problems that come from diverse application domains. The unifying themes for mathematical and statistical modelling are the main research domains: The Interdisciplinary Research Institute for Mathematical and Statistical Modelling in Scientific Discovery, Innovation and Sustainability (MS2Discovery) connects researchers working in mathemati