Program Requirements
Students will study the foundations and principles of epidemiology and applied biostatistics, in order to design, conduct, and analyze clinical, population-based, environmental, policy, and methodological health-related research. Graduates will be prepared to engage in scientific collaboration, and communicate results to other scientists and diverse audiences.
Thesis Course (21 credits)
-
EPIB 690 M.Sc. Thesis (21 credits)
Overview
Epidemiology & Biostatistics : Thesis research under supervision.
Terms: Fall 2024, Winter 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Required Courses (21 credits)
Students exempted from any of the courses listed below must replace them with additional complementary course credits.
-
EPIB 601 Fundamentals of Epidemiology (4 credits)
Overview
Epidemiology & Biostatistics : This course aims to provide a comprehensive introduction to epidemiologic concepts and corresponding terms. After an introduction to the history, definition, and purposes of epidemiology, "core" concepts that are relevant in several areas of investigation (e.g., etiologic research, health care research, and community medicine practice) will be presented.
Terms: Fall 2024
Instructors: Paradis, Gilles; Auguste, Aviane; Hollm-Delgado, Maria-Graciela (Fall)
-
EPIB 603 Intermediate Epidemiology (4 credits)
Overview
Epidemiology & Biostatistics : Concepts and methods for epidemiology at the intermediate level, including causation, measures of disease occurrence and effect, study designs, biases in epidemiologic research, interaction, and data analysis for categorical and survival data using statistical software.
Terms: Winter 2025
Instructors: Weichenthal, Scott Andrew (Winter)
-
EPIB 605 Critical Appraisal in Epidemiology (1 credit)
Overview
Epidemiology & Biostatistics : This course provides the opportunity to develop skills to critically evaluate evidence presented in the biomedical and health sciences literature, based on the concepts acquired in the epidemiology introductory courses.
Terms: Winter 2025
Instructors: Tamblyn, Robyn; Thombs, Brett; Benedetti, Andrea; Suissa, Samy; Renoux, Christel; Ukah, Ugochinyere (Winter)
-
EPIB 607 Inferential Statistics (4 credits)
Overview
Epidemiology & Biostatistics : Introduction to the basic principles of statistical inference used in clinical and epidemiologic research. Topics include variability; methods of processing and describing data; sampling and sampling distributions; inferences regarding means and proportions, non-parametric methods, regression and correlation.
Terms: Fall 2024
Instructors: Mamiya, Hiroshi (Fall)
Prerequisite (Undergraduate): A first year course in undergraduate differential and integral calculus.
-
EPIB 613 Introduction to Statistical Software (1 credit)
Overview
Epidemiology & Biostatistics : Introduction to statistical software and data management; including basics of entering, manipulating data and elementary statistical analysis, SAS software, with reference to other packages of potential interest to students (R, Stata, SPSS).
Terms: Fall 2024
Instructors: Parsons, Marc (Fall)
Prerequisite: Enrolment in Epidemiology stream program or permission of instructor.
-
EPIB 621 Data Analysis in Health Sciences (4 credits)
Overview
Epidemiology & Biostatistics : Univariate and multivariate statistical techniques for continuous categorical and survival data. Topics include generalized linear models, multiple linear and logistic regression, introductory survival analysis, model selection. Maximum likelihood and Bayesean approaches will be presented.
Terms: Winter 2025
Instructors: Zhang, Qihuang (Winter)
-
PPHS 602 Foundations of Population Health (3 credits)
Overview
PPHS : Introduction to population health and the conceptual basis of the population health approach to measuring disease occurrence and to prevention. Fundamentals of, and methods for, studying burden of disease in population, and how these differ across time, space, and groups. Topics include population dynamics, denominators, occurrence of events, time, person and place, health indicators, standardization, life tables, age, cohort and period effects, disease surveillance and vital statistics. Introduction to the concepts and principles of measurement including measurement error, validity, reliability, and accuracy.
Terms: Fall 2024
Instructors: Baumgartner, Jill (Fall)
Complementary Course (3 credits)
3 credits of coursework, at the 500 level or higher, chosen in consultation with the student's academic adviser or supervisor.
