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Mathematical and Statistical Modelling (PhD)

Mathematical and Statistical Modelling (PhD)

Faculty of Graduate and Postdoctoral Studies and Faculty of Science

waterloo

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.

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Interdisciplinary approach with critical areas of application.

Projects tackle ongoing scientific questions.

Guided by professors with national and international reputations.

Program Details

Overview

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:

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.

Structure

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.

Research

Students 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 their work.

The main research domains are:

Financial Mathematics
Complex Systems Modelling
Statistics and Data Analysis

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

Admissions

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.

Start: Fall (September) or Winter (Janurary)
Format: Full-time
Application opens:
- January intake: Sept. 1 (international applicants) or Nov. 16 (domestic applicants)
- September intake: May 1 (international applicants) or Aug. 16 (domestic applicants)
Application deadline:
- January intake: Aug. 31 (international applicants) or Nov. 15 (domestic applicants)
- September intake: April 30 (international applicants) or Aug. 15 (domestic applicants)

Your Next Steps

Contact a Faculty Member Tuition and Funding Apply Now

Questions? Contact Cristina Stoica, graduate academic coordinator, at mathgradprogram@wlu.ca or 519.884.0710 x2011.

MS2Discovery Institute

Connecting researchers working in mathematical and statistical modelling in various disciplines – from natural sciences and technology, finance, business and economics, and social sciences.

MS2Discovery Institute

Connecting researchers working in mathematical and statistical modelling in various disciplines – from natural sciences and technology, finance, business and economics, and social sciences.

Waterloo Campus

This program is available on Laurier's Waterloo campus.

Laurier's Waterloo campus is home to more than 19,000 graduate and undergraduate students. Tucked into several city blocks, this campus is walking distance to your classrooms, food, and various campus amenities.

Laurier is a leading force in research among Canadian universities, and many of our research centres and institutes are housed in Waterloo.

Learn more about Laurier's campuses.

Tuition and Funding

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.

"With contributions from several university-based partners, ASPIRE provides graduate students and postdoctoral researchers with informative, hands-on professional skills training essential for degree and post-degree success."

Brent Wolfe, Associate Dean, Faculty of Graduate and Postdoctoral Studies

Your Path to Post-Degree Success

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.

Research Chat

A podcast showcasing graduate students' research and experiences at Laurier.

Laurier 601

Laurier's incoming student support program will help you transition into graduate studies.

Celebrating Laurier Achievements

Watch a video recognizing the many forms of Laurier scholarship and creativity.

Research Chat

A podcast showcasing graduate students' research and experiences at Laurier.

Laurier 601

Laurier's incoming student support program will help you transition into graduate studies.

Celebrating Laurier Achievements

Watch a video recognizing the many forms of Laurier scholarship and creativity.

Faculty

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.

Phelim Boyle
Professor

Hedge funds
Structured products
Investments
Ponzi schemes

Kathie Cameron
Professor

Graph algorithms
Polytime combinatorial optimization
Graph theory

Giuseppe (Joe) Campolieti
Associate Professor

Applied mathematics
Mathematical finance and physics
Pricing and hedging of financial derivatives; option pricing and model calibration
Path-integral methods; simulation (Monte Carlo) methods

Wing Chan
Associate Professor

Econometrics
Derivatives
Risk management
Asset pricing models

Yuming Chen
Professor

Dynamical systems
Functional differential equations
Mathematical biology

Ross Cressman
Professor Emeritus

Game theory
Dynamical systems
Rational behaviour
Mathematical biology

Maria Gallego
Associate Professor

Public economics
Political economy
Elections
Legislative bargaining

Shohini Ghose
Professor

Quantum computing
Quantum communication
Classical and quantum chaos
Equity, diversity and inclusion in science

Angèle Foley
Professor

Combinatorics
Algorithms
Optimization

Ian Hamilton
Professor

Gold nanostructures and semiconductor nanocrystals
Quantum and classical mechanics
Chemical bonding and reactivity

Chin Hoang
Professor

Theoretical computer science
Graph algorithms
Graph theory
Discrete mathematics

Shengda Hu
Associate Professor

Algebraic geometry
Symplectic topology
Generalized geometry

Sapna Isotupa
Professor

Inventory control
Queueing systems
Workforce management

Madhu Kalimipalli
Professor

Modeling Volatility
Derivatives
Bond markets
Market microstructure

Alexei Kaltchenko
Associate Professor

Information theory
Quantum information theory and quantum computing
Data compression

Marc Kilgour
Professor

Multiple-person, multiple-objective decision analysis including game theory
Multiple-criteria decision analysis
International strategy
Environment management

Ilias Kotsireas
Professor

Symbolic computation
Combinatorial designs
High-performance computing

Y. George Lai
Professor

Computational finance/Monte Carlo and quasi-Monte Carlo methods and applications
Stochastic analysis with applications in finance and insurance
Portfolio optimization

Roman Makarov
Associate Professor

Mathematical finance
Statistical theory and modelling
Numerical analysis

Philip Marsh
Professor

Cold regions hydrology
Snow and permafrost hydrology
Climate change and hydrologic modelling
Hydrology of Arctic deltas

Connell McCluskey
Professor

Mathematical epidemiology
Lyapunov methods
Global stability

Roderick Melnik
Professor

Mathematical modelling in Applied Sciences and Technologies
Applied and Computational Mathematics
Low dimensional nanostructures and coupled models
Partial differential equations and numerical methods

Adam Metzler
Associate Professor

Applied probability
Quantitative finance
Credit risk

Gabriel Moreno-Hagelsieb
Professor

Genomics
Metagenomics
gene regulation in prokaryotes
functional/comparative genomics

Michael Pavlin
Associate Professor

Business analytics
Pricing and contract theory
Structural econometrics
Energy markets, services, healthcare

Stephen Perry
Professor

Biomechanics
Neurophysiology
Dynamic Balance Control
Footwear and Orthotics

R. Mark Reesor
Associate Professor

Applied probability and statistics
Quantitative finance
Risk measurement and management

Steven Roberts
Associate Professor

Geo-computation
Optimization for spatial problems
Spatial analysis

Colin Robertson
Associate Professor

Spatial-temporal analysis
Spatial modelling at the animal/human health interface
Citizen science
Landscape scale spatial pattern analysis

Manuele Santoprete
Associate Professor

Applied mathematics
Celestial mechanics
Chaotic dynamics
Geometric mechanics

Ketan Shankardass
Associate Professor

Health equity
Social epidemiology
Chronic stress
Environmental health

Andriy Shkilko
Associate Professor

Equity and option market structure
Market regulation
High-frequency and algorithmic trading
Short selling

Cristina Stoica
Professor

Mathematics of classical mechanics, n-body problems in particular
Continuous and discrete symmetries in dynamics
Geometric mechanics
Data science, in particular functional and shape data analysis

Xu (Sunny) Wang
Associate Professor

Statistical learning and data mining in drug discovery
Mining business and economic data
Applied statistics
Industrial statistics

Marek Wartak
Professor

Simulations of photonic devices
Computational photonics
Plasmonics

Zilin Wang
Associate Professor

Survey sampling theory
Resampling techniques
Multilevel models
Nonparametric regression techniques

Chester Weatherby
Assistant Professor

Number theory
Transcendence/algebraic independence
Baker’s theory on linear forms in logarithms
Special values

Kaiming Zhao
Professor

Lie algebras
Representation theory
Division algebra and linear algebra

Join us at Laurier

Mathematical and Statistical Modelling (PhD)