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 Code Course Title
STA1001H
Applied Regression Analysis
STA1002H
Methods of Data Analysis
STA1003H
Sample Survey Theory and its Application
STA1004H
Introduction to Experimental Design
STA1007H
Statistics for Life and Social Scientists
STA1008H Applications of Statistics
JAS1101H Topics in Astrostatistics
STA2005H
Applied Multivariate Analysis
STA2006H
Applied Stochastic Processes
STA2016H
Theory and Methods for Complex Spatial Data
(prerequisite: STA302H1)
STA2047H Stochastic Calculus
STA2051H Topics in Numerical Methods in Data Science
STA2052H Statistics, Ethics, and Law
STA2053H Special Topics in Applied Statistics
(prerequisite: graduate-level statistical knowledge with permission of the instructor)
STA2080H
Fundamentals of Statistical Genetics
STA2101H
Methods of Applied Statistics I
STA2102H
Computational Techniques in Statistics
STA2104H
Statistical Methods for Machine Learning and Data Mining
STA2111H
Probability Theory I
STA2112H
Mathematical Statistics I
STA2162H Statistical Inference I
STA2163H Online Learning and Sequential Decision Theory
STA2201H
Methods of Applied Statistics II
STA2202H
Time Series Analysis
STA2209H Lifetime Date Modelling and Analysis
STA2211H
Probability Theory II
STA2212H
Mathematical Statistics II
STA2311H Advanced Computational Methods for Statistics I
STA2312H Advanced Computational Methods for Statistics II
STA2453H
Data Science Methods, Collaborations, and Communication
STA2500H Loss Models
STA2501H
Advanced Topics in Actuarial Science
STA2502H
Stochastic Models in Investments
STA2503H
Applied Probability for Mathematical Finance
STA2505H
Credibility Theory and Simulation Methods
STA2530H
Applied Time-Series Analysis
STA2535H
Life Insurance Mathematics
STA2536H
Data Science for Risk Modelling
STA2540H
Insurance Risk Management
STA2546H Data Analytics in Practice
STA2550H+
Industrial Seminar Series
STA2551H
Finance and Insurance Case Studies
STA2555H
Information Visualization
STA2560Y
Industrial Internship
STA2570H
Numerical Methods for Finance and Insurance
STA2600H
Teaching and Learning of Statistics in Higher Education
STA2700H
Computational Inference and Graphical Models
STA3000Y
Advanced Theory of Statistics
STA3431H
Monte Carlo Methods
STA4000H, Y
Supervised Reading Project I
STA4001H, Y
Supervised Reading Project II
STA4002H
Supervised Reading Project for an Advanced Special Topic
STA4246H
Research Topics in Mathematical Finance
STA4273H
Research Topics in Statistical Machine Learning
STA4364H
Conditional Inference: Sample Space Analysis
STA4372H Foundations of Statistical Inference

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

Course Code Course Title
STA4500H
Statistical Dependence: Copula Models and Beyond
STA4501H
Functional Data Analysis and Related Topics
STA4502H
Topics in Stochastic Processes
STA4505H
Applied Stochastic Control: High Frequency and Algorithmic Trading
STA4506H
Non-stationary Time Series Analysis
STA4507H
Extreme Value Theory and Applications
STA4508H
Topics in Likelihood Inference
STA4509H
Insurance Risk Models I
STA4510H
Topics in Insurance Risk Modelling II
STA4512H
Logical Foundations of Statistical Inference
STA4514H
Modelling and Analysis of Spatially Correlated Data
STA4515H
Multiple Hypothesis Testing and its Applications
STA4516H
Topics in Probabilistic Programming
STA4517H
Foundations and Trends in Causal Inference
STA4518H
Robust Statistical Methods
(prerequisite: STA2112H or permission of the instructor)
STA4519H Optimal Transport: Theory and Algorithms
(prerequisites: STA2111H and STA2211H, or permission of the instructor)
STA4522H
The Measurement of Statistical Evidence
STA4523H
Bayesian Computation with Massive Data and Intractable Likelihoods
STA4524H
Advanced Topics in Statistical Genetics
STA4525H
Demographic Methods
STA4526H Stochastic Control and Applications in Finance
STA4527H Random Matrix Theory and Its Applications
STA4528H Dependence Modelling With Application to Risk Management
STA4529H Applications of Nonstandard Analysis to Statistics and Probability Theory
STA4530H Derivatives for Institutional Investing
STA4531H Information Geometry
(prerequisite: STA2111H or permission of the instructor)

+ Extended course. For academic reasons, coursework is extended into session following academic session in which course is offered.