With its interdisciplinary approach and focus on critical areas of application, Laurier’s PhD in Mathematical and Statistical Modelling is unique in Canada. You are exposed to the collaborative nature of modern solutions to ongoing scientific questions. You are guided by a core group of highly active participating faculty with national and international reputation in a diverse set of cross-disciplinary research areas unified by the field of mathematical and statistical modelling. The major fields of specialization represented by our faculty research interests include: Statistics and data analytics Quantitative finance and financial modelling Health science and bioinformatics Applied and discrete mathematics Operations research and supply chain management Computational science and engineering Epidemiology and mathematical biology Spatial data modelling

A master’s degree in a quantitative discipline such as mathematical, statistical, actuarial, computational or engineering sciences, including operations research and risk analysis, with a minimum A- standing. Exceptional students may obtain early entry to the PhD program from an eligible master’s program. The Application Summary, which is generated after you complete your OUAC application (log back in to OUAC to retrieve it). Transcripts of all undergraduate and graduate work. A completed statement of intent. A résumé of your academic and work experience. Include a history of your publication and scholarly paper activity and any other information you feel will interest the admissions committee. A sample of your scholarly writing (10-20 pages in length). This may be a chapter of your master's thesis or a paper written for a graduate course. Completed reference forms. Two academic references are required.