Statistical Sciences

Statistical Sciences: Introduction

Faculty Affiliation

Arts and Science

Degree Programs

Financial Insurance

MFI

Statistics

MSc

  • Fields:
    • Statistical Theory and Applications;
    • Probability

PhD

  • Fields:
    • Statistical Theory and Applications;
    • Probability;
    • Actuarial Science and Mathematical Finance

Overview

Statistical Sciences involves the study of random phenomena and encompasses a broad range of scientific, industrial, and social processes. As data become ubiquitous and easier to acquire, particularly on a massive scale, and computational tools become more efficient, models for data are becoming increasingly complex. The past several decades have witnessed a vast impact of statistical methods on virtually every branch of knowledge and empirical investigation.

Please visit the departmental website for details about the fields offered, the research being conducted, and the courses. The department offers substantial computing facilities and operates a statistical consulting service for the University's research community. Programs of study may involve association with other departments such as Astronomy and Astrophysics, the Dalla Lana School of Public Health, the Faculty of Information, Mathematics, Philosophy, Psychology, Sociology, the Rotman School of Management, and the School of the Environment. The Department of Statistical Sciences maintains an active seminar series and strongly encourages graduate student participation.

Students may be interested in the Data Science concentration within the Master of Science in Applied Computing program.

Contact and Address

MFI Program

Web: www.mfi.utoronto.ca
Email: mfi.info@utoronto.ca
Telephone: (416) 978-7420

Department of Statistical Sciences
Faculty of Arts & Science, University of Toronto
Ontario Power Building, 700 University Avenue, 9th Floor
Toronto, Ontario M5G 1Z5
Canada

MSc and PhD Programs

Web: www.statistics.utoronto.ca
Email: grad.statistics@utoronto.ca

Department of Statistical Sciences
Faculty of Arts & Science, University of Toronto
Ontario Power Building, 700 University Avenue, 9th Floor
Toronto, Ontario M5G 1Z5
Canada

Statistical Sciences: Graduate Faculty

Full Members

Alexander, Monica - MA, PhD
Alexander, Rohan Peter - MEc, PhD
Badescu, Andrei - BSc, MSc, DPhil
Brenner, David - BSc, MSc, PhD
Broverman, Samuel - BSc, MSc, PhD
Brown, Patrick - BA, MSc, PhD
Brunner, Jerry - BA, MA, PhD, DPhil
Craiu, Radu - BSc, MSc, PhD
Duvenaud, David - PhD
Escobar, Michael - BS, PhD
Evans, Michael - BSc, MSc, PhD
Feuerverger, Andrey - BSc, PhD
Fortin, Marie-Josée - MSc, PhD, CRC
Franklin, Meredith - BSc, MSc, PhD
Goldenberg, Anna - PhD, PhD
Gong, Ruobin - PhD
Gronsbell, Jessica - BA, PhD
Jaimungal, Sebastian - BSc, MSc, PhD (Chair and Graduate Chair)
Knight, Keith - BSc, MS, PhD
Kong, Dehan - BS, MS, PhD
Leos Barajas, Vianey - BSc, PhD
Lin, Xiaodong - BSc, MSc, MMath, PhD
Lou, Wendy - DPhil
McDunnough, Philip - BSc, MSc, PhD
Park, Jun Young - PhD
Pesenti, Silvana - BSc, MSc, PhD
Quastel, Jeremy - BSc, MS, PhD
Reid, Nancy - BM, MSc, PhD, FRSC
Rosenthal, Jeffrey - BSc, AM, PhD, FRSC
Roy, Daniel - BS, MEng, PhD
Seco, Luis - PhD
Shi, Xiaofei - MSc, PhD
Speagle, Joshua - MA, PhD
Stafford, James - BS, MS, PhD
Strug, Lisa - BS, BA, SM, PhD
Sun, Lei - BS, PhD
Sun, Qiang - BSc, PhD
Tyrrell, Pascal - BSc, MSc, PhD
Urtasun, Raquel - PhD
Virag, Balint - BA, MA, PhD
Volgushev, Stanislav - MA, PhD (Associate Chair, Graduate Studies)
Zhou, Zhou - MSc, DPhil
Zwiernik, Piotr - MSc, MSc, PhD

Members Emeriti

Andrews, David - BSc, MSc, PhD
Guttman, Irwin - BSc, MA, PhD
Srivastava, Muni - MSc, PhD

Associate Members

Butler, Kenneth - BS, MS, PhD
Caetano, Samantha-Jo - BSc, MSc, PhD
Campbell, Kieran - PhD
Daignault, Katherine Suzanne - MSc, PhD
Gibbs, Alison - BSc, MSc, PhD
Maddison, Christopher - PhD
Moon, Michael jongho - MSc
Moon, Nathalie - BSc, MMath, PhD
Schwartz, Scott - BS, BA, PhD
Taback, Nathan - BSc, MSc, PhD
White, Bethany - BSc, MMath, PhD
Willmot, Gordon - BMath, MMath, PhD
Zhang, Vicki - BScEE, MSc

Statistical Sciences: Statistics MSc, PhD Courses

The department offers a selection of courses each year from the following list with the possibility of additions. The core courses will be offered each year. Consult the department for courses offered in the current academic year.

Course CodeCourse Title
Statistics for Life and Social Scientists
STA1008HApplications of Statistics
JAS1101HTopics in Astrostatistics
Applied Multivariate Analysis
Applied Stochastic Processes
Theory and Methods for Complex Spatial Data
STA2047HStochastic Calculus
STA2051HTopics in Numerical Methods in Data Science
STA2052HStatistics, Ethics, and Law
STA2053HSpecial Topics in Applied Statistics
Fundamentals of Statistical Genetics
Methods of Applied Statistics I
Computational Techniques in Statistics
Statistical Methods for Machine Learning and Data Mining
Probability Theory I
Mathematical Statistics I
STA2162HStatistical Inference I
STA2163HOnline Learning and Sequential Decision Theory
Methods of Applied Statistics II
Time Series Analysis
STA2209HLifetime Date Modelling and Analysis
Probability Theory II
Mathematical Statistics II
STA2311HAdvanced Computational Methods for Statistics I
STA2312HAdvanced Computational Methods for Statistics II
Data Science Methods, Collaborations, and Communication
STA2500HLoss Models
Advanced Topics in Actuarial Science
Stochastic Models in Investments
Applied Probability for Mathematical Finance
Credibility Theory and Simulation Methods
Applied Time-Series Analysis
Life Insurance Mathematics
Data Science for Risk Modelling
Insurance Risk Management
STA2546HData Analytics in Practice
Industrial Seminar Series
Finance and Insurance Case Studies
Information Visualization
Industrial Internship
Numerical Methods for Finance and Insurance
Teaching and Learning of Statistics in Higher Education
Computational Inference and Graphical Models
Advanced Theory of Statistics
Monte Carlo Methods
Supervised Reading Project I
Supervised Reading Project II
Supervised Reading Project for an Advanced Special Topic
Research Topics in Mathematical Finance
Research Topics in Statistical Machine Learning
STA4372HFoundations of Statistical Inference

Note: The following modular courses are each worth 0.25 full-course equivalent (FCE).

Course CodeCourse Title
Statistical Dependence: Copula Models and Beyond
Functional Data Analysis and Related Topics
Topics in Stochastic Processes
Applied Stochastic Control: High Frequency and Algorithmic Trading
Non-stationary Time Series Analysis
Extreme Value Theory and Applications
Topics in Likelihood Inference
Insurance Risk Models I
Topics in Insurance Risk Modelling II
Logical Foundations of Statistical Inference
Modelling and Analysis of Spatially Correlated Data
Multiple Hypothesis Testing and its Applications
Topics in Probabilistic Programming
Foundations and Trends in Causal Inference
Robust Statistical Methods
STA4519HOptimal Transport: Theory and Algorithms
The Measurement of Statistical Evidence
Bayesian Computation with Massive Data and Intractable Likelihoods
Advanced Topics in Statistical Genetics
Demographic Methods
STA4526HStochastic Control and Applications in Finance
STA4527HRandom Matrix Theory and Its Applications
STA4528HDependence Modelling With Application to Risk Management
STA4529HApplications of Nonstandard Analysis to Statistics and Probability Theory
STA4530HDerivatives for Institutional Investing
STA4531HInformation Geometry