"Immerse yourself in all Laurier has to offer while completing your graduate education. Enjoy the journey – remember to have fun too!"
Paula C. Fletcher, associate dean, Faculty of Graduate and Postdoctoral Studies
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.
Interdisciplinary approach with critical areas of application.
Projects tackle ongoing scientific questions.
Guided by professors with national and international reputations.
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.
In this program you will:
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 theme is that mathematical and statistical modelling is
The main research domains are:
Students may work on research that spans more than one domain.
"Immerse yourself in all Laurier has to offer while completing your graduate education. Enjoy the journey – remember to have fun too!"
Paula C. Fletcher, associate dean, Faculty of Graduate and Postdoctoral Studies
Take the first step in your graduate education and apply to one of our graduate programs. Follow our three-step admission process — we’ll walk you through how to apply and prepare for your first day as a graduate student.
After you have submitted you OUAC application, paid the non-refundable application fee, and Laurier has received your application, you'll receive an email from gradadmissions@wlu.ca advising you to upload the additional required documentation to Laurier’s Online Registration and Information System (LORIS).
Please note, the application process and the uploading of supplemental documentation, which includes references, typically takes two weeks. To avoid disappointment, please apply early.
An application for admission to our PhD program in Mathematical and Statistical Modelling must include:
Visit our Graduate Admissions Toolkit for more information about applying.
Proficiency in written and spoken English is essential to graduate studies at Laurier. Applicants whose language of instruction during their previous postsecondary education was not in English must submit evidence of proficiency in English. If applicable, results from accepted testing services must be uploaded to LORIS.
Questions? Contact David Soave, graduate academic coordinator, at mathgradprogram@wlu.ca or 548.889.3745.
Regardless of the type of graduate degree program you intend to pursue, financial planning is important. At Laurier, we want to provide you with as much information as possible about a variety of scholarship and funding opportunities and equip you with the skills to manage your finances effectively in the years to come.
ASPIRE is Laurier's professional skills development training program for graduate students.
The program helps you craft an individualized, extracurricular learning plan tailored to your professional journey and entry to the workplace.
In most cases, a student in this program working on a specific application-oriented project will have two co-supervisors, one with expertise in mathematical and statistical sciences and the other with specialized expertise in the project-specific domain application involving modelling.
Devan Becker
Assistant Professor
Phelim Boyle
Professor
Kathie Cameron
Professor
Giuseppe (Joe) Campolieti
Associate Professor
Wing Chan
Associate Professor
Yuming Chen
Professor
Ross Cressman
Professor Emeritus
Maria Gallego
Associate Professor
Shohini Ghose
Professor
Angèle Foley
Professor
Ian Hamilton
Professor
Chin Hoang
Professor
Shengda Hu
Associate Professor
Sapna Isotupa
Professor
Madhu Kalimipalli
Professor
Alexei Kaltchenko
Associate Professor
Marc Kilgour
Professor
Ilias Kotsireas
Professor
Y. George Lai
Professor
Roman Makarov
Associate Professor
Philip Marsh
Professor
David Soave
Assistant Professor
Connell McCluskey
Professor
Roderick Melnik
Professor
Adam Metzler
Associate Professor
Gabriel Moreno-Hagelsieb
Professor
Michael Pavlin
Associate Professor
Stephen Perry
Professor
R. Mark Reesor
Associate Professor
Steven Roberts
Associate Professor
Colin Robertson
Associate Professor
Manuele Santoprete
Associate Professor
Ketan Shankardass
Associate Professor
Andriy Shkilko
Associate Professor
Cristina Stoica
Professor
Xu (Sunny) Wang
Associate Professor
Marek Wartak
Professor
Zilin Wang
Associate Professor
Chester Weatherby
Assistant Professor
Kaiming Zhao
Professor
