This Master of Science in Epidemiology with Specialization in Biostatistics is is a 12-month full-time program (part-time available on a case-by-case basis). All students are required to complete eight courses in two terms (including 6 core courses and two elective courses) and a one-term supervised practicum project in biostatistics. In the practicum, students will complete either a research project pertaining to some aspect of the biostatistics methodological research work of their supervisor or a practicum placement with an academic or industry-based research group pertaining to the biostatistics applications. When all program requirements are completed satisfactorily, students will be awarded either a M.Sc. in Epidemiology with Specialization in Biostatistics (if they are registered in the Department of Public Health Sciences), OR M.Sc. in Mathematics and Statistics with Specialization in Biostatistics (if they are registered in the Department of Mathematics and Statistics).
Completing Your Degree
Students are accepted for a September start date and, if enrolled in full-time studies, are expected to meet the milestones listed below:
- Introduction to Epidemiology (EPID 801)
- Statistical Inference (STAT 853)
- Computational Data Analysis (STAT 862) or an elective, if taking Applied Aggression Analysis (EPID 822) in the winter term.
- One Elective
- Intermediate Epidemiology (EPID 804)
- Advanced Methods in Biostatistics (EPID 823)
- Survival Analysis (STAT 886)
- One Elective if taking Computational Data Analysis (STAT 862) in the fall term, or Applied Regression Analysis (EPID 822)
- Practicum (EPID 888)
The following is a brief overview of course content of the Master of Epidemiology specializing in Biostatistics program, including core courses offered by the Department of Public Health Sciences and Department of Mathematics and Statistics and some elective courses offered by the various departments identified.
EPID 801: Introduction to Epidemiology
This course provides foundational knowledge on how human evidence relevant to public health is created, assessed, and used, with a focus on epidemiologic methods. Topics include measures of health status; risk factors and associations with health outcomes; study design including descriptive, analytical, and intervention approaches; validity issues; critical appraisal; assessment of causation; ethics; and application of epidemiologic evidence in public health decisions. Three term-hours. Fall, every year. K. Aronson.
EPID 804: Intermediate Epidemiology
This course deals with advanced methods and issues in the design, conduct, analysis and interpretation of epidemiologic studies. The content focuses on observational study design and analysis and builds on epidemiologic principles presented in EPID 801. Data analysis will emphasize the application and interpretation of statistical concepts in epidemiologic research. Three term-hours, Winter, every year W. King.
PREREQUISITE: EPID 801.
EPID 822: Applied Regression Analysis
This course deals with the commonly used regression methods proven useful in health services research and the epidemiologic analysis of the relationship between traits, exposures or treatments, and diseases or other medical outcomes. The course emphasizes the statistical modeling approach with topics including multiple regression, analysis of variance and covariance, reliability of measurements, analysis of categorical data, logistic regression, Poisson regression and survival analysis. This course includes a compulsory SAS Programming component. Three term-hours, Winter, every year Z. Lu , C. O’Callaghan, P. Peng. SAS Lab Winter, A. Day/P. Norman
PREREQUISITE: EPID 821 (or permission of instructor for Biostatistics students).
EPID 823: Advanced Methods in Biostatistics
An advanced course in the theoretical issues and analytical practices in epidemiology, and biostatistics. Topics may vary but major topics include analysis of longitudinal and survival data using various regression models; Techniques and strategies for regression modeling; Novel analytic approaches in epidemiology; multivariate analysis methods including discriminant analysis, principal components and factor analysis. Three term-hours Winter every year. D. Tu / K. Ding/ W. Tu.
PREREQUISITE: EPID 821 + knowledge of basic statistical modeling techniques deemed adequate by the Instructors.
STAT 853: Statistical Inference
Decision theory and Bayesian inference; principles of optimal statistical procedures; maximum likelihood principle; large sample theory for maximum likelihood estimates; principles of hypotheses testing and the Neyman-Pearson theory; generalized likelihood ratio tests; the chi-square, t, F and other distributions.
Three term hours, Fall.
Offered jointly with STAT 463
STAT 862: Computational Data Analysis
An introduction to aspects of computer software consistent with modern professional practice of statistics. Particular attention is given to the use of the statistical packages SAS and S-Plus.
Three term hours, Fall.
Offered jointly with STAT 462
Introduces the theory and application of survival analysis: survival distributions and their applications, parametric and nonparametric methods, proportional hazards models, counting process and proportional hazards regression, planning and designing clinical trials.
Three terms hours, Winter.
Offered jointly with STAT 486
EPID 810: Controlled Clinical Trials
This course will cover material relevant to the design and conduct of controlled clinical trials. Design topics will include methods used to achieve unbiased results with improved precision, such as adequate sample size, randomization, blinding, pre- and post-stratification, cross-over designs, placebos and the counting of relevant events. Attention will be given to the problems of conducting multi-centre clinical trials. Topics covered will include drafting of protocols, design of data forms, logistics of data flow, methods of follow-up, data management and quality control, periodic reporting, final data analysis and the production of final reports. Ethical issues and the role of randomized trials in clinical investigation will be discussed.
Three term hours, Winter. Instructor: H. Richardson.
EPID 815: Independent Study
This course is designed for individual students interests that are not covered by existing courses offered in the Department. Normally, this will take the form of a closely supervised reading course in the area of a graduate instructor's expertise but may also include practical field experience. The proposed study must be improved by the appropriate instructor and Program Director, the Coordinator of Graduate Studies and the Head of the Department.
EPID 817: Foundations of Cancer Control
This course is intended for graduate students, clinical fellows and postdoctoral fellows who are engaged or interested in cancer research. This course will provide students with training in the fundamentals of epidemiologic methods in cancer research and with knowledge of how epidemiology could contribute to better understanding of cancer etiology and control in human populations. The course will focus on concepts and methodological issues central to the conduct of epidemiologic studies of cancer etiology and control. Topics will include: an introduction to basic epidemiologic concepts, biologic concepts central to the investigation of cancer, study design, clinical epidemiology, and cancer control and prevention.
Three term hours, Fall. Instructor: H. Richardson. Not offered 2018-19.
EPID 819: Clinical Epidemiology:
This course will demonstrate the way in which epidemiological principles guide the practice of medicine and the design of clinical research. Topics include how to select and apply the correct design for a study addressing a clinical question, how to evaluate the quality of clinical publications and research proposals, how to prepare a clinical research proposal, and how to synthesize clinical evidence.
Three term hours Winter 2022 Instructor TBD.
PREREQUISITE: EPID * 801 and EPID 821* or Permission of Instructor.
EPID 822: Applied Regression Analysis
This course deals with the commonly used regression methods proven useful in health services research and the epidemiologic analysis of the relationship between traits, exposures or treatments, and diseases or other medical outcomes. The course emphasizes the statistical modeling approach with topics including multiple regression, analysis of variance and covariance, reliability of measurements, analysis of categorical data, logistic regression, Poisson regression and survival analysis. This course includes a compulsory SAS Programming component.
Three term-hours, plus a two-hour tutorial, Winter. Instructors: P. Peng. SAS Tutorial instructors: A. Day and J. Zhang-Salomons. PREREQUISITE: EPID 821.
EPID 828: Infectious Diseases
This course provides a foundation in infectious disease epidemiology. Principles and methods related to infectious disease biology, outbreak detection and investigation, and the methodological, analytical, and diagnostic tools are covered. Specific infectious diseases that pose contemporary challenges in public health and/or have national or global public health impact are discussed. Three term hours. Winter. S. Brogly.
EPID 829: Foundations in Global Health
Students will be exposed to various global health concepts and be trained to work through potential solutions in a public health context. The course will be taught through formal lecture, seminar and small group learning and online modules. The course be taught through formal lecture, seminar and small group learning, and online modules. Topics may include: health, public health, and development; Aboriginal health; health systems and policies; Canada's role in global health and social justice; and special populations.
Three term hours, Fall. Instructor: C. Davison.
EPID 831: Chronic Disease Epidemiology
This course will provide an overview of the epidemiology of some of the leading non-infectious causes of morbidity and mortality in Canada and will highlight the key methodological considerations for the study of each disease or health problem.
Three term hours, Fall. Instructor: W. Pickett. Not offered in Fall 2020. PREREQUISITE: EPID 801 AND EPID 821 or equivalents with permission of course coordinator.
EPID 832: Mental Health/Critical Inquiry
This course will provide students with in-depth substantive knowledge about the evolution of health issues that have shaped policy and mental health services.
Three term hours, Winter. Instructor: H. Stuart. PREREQUISITE: EPID 801 or permission of course instructor.
EPID 833: Issues in Military and Veteran Health Research
Students are exposed to health issues associated with military experience that includes both veterans and military families. As a weekly webinar, the course will include presentations from Canadian specialists who will contextualize military mental and physical health needs and introduce theoretical and methodological approaches to conducting applied health research among this population.
Three term hours, fall, every year. Instructors: S. Belanger.
EPID 851: Medically Relevant Microbiology in Infection Prevention and Control
This course provides foundational and applied information to support learners' development of infection prevention and control (IPAC) practices within various healthcare and public health settings. Students will gain an understanding of the basics of medical microbiology and how they relate to core competencies for IPAC.
Three term hours. Winter. Instructor: P. Sheth
EPID 852: Fundamentals of Infection Prevention and Control and Environments of Care
This course provides foundational and applied information to support learners' development of infection prevention and control (IPAC) practices within various healthcare and public health settings. Students will gain an understanding of the core competencies for IPAC. Diverse principles and practices associated with routine practices, additional precautions, program evaluation, surveillance and outbreak management, occupational health, emergency management, disinfection concepts, preprocessing, construction/renovation and principles of adult learning will be explored as the foundational concepts of an IPAC program. Students will be able to apply these IPAC skills and concepts to a broad environment of care and its overall impact on public health.
Three term hours. Winter. Instructors: H. Candon and K. Allain
EPID 853: Healthcare Quality, Safety and Risk
This course provides foundational and applied information and activities to support learners’ development of quality, risk and safety principles and practices within Public Health settings. Learners will gain an understanding of the integration of improvement science within the public health setting with a particular focus on the area of infection prevention and control (IPAC). Principles and practices associated with policy, change management, leadership, communication, collaboration, and safety culture will be examined to explore ways to provide optimal health outcomes for individuals and communities while adhering to the principles of IPAC.
Summer. Instructor TBD
STAT 855: Stochastic Processes and Applications
Markov chains, birth and death processes, random walk problems, elementary renewal theory, Markov processes, Brownian motion and Poisson processes, queuing theory, branching processes.
Three term hours.
Offered jointly with MTHE/STAT 455
STAT-864: Discrete Time Series Analysis
Autocorrelation and autocovariance, stationarity; ARIMA models; model identification and forecasting; spectral analysis. Applications to biological, physical and economic data.
Three term-hours; lectures.
Offered jointly with STAT-464
STAT 865/465: Quality Management
An overview of the statistical and lean manufacturing tools and techniques used in the measurement and improvement of quality in business, government and industry today. Topics include management and planning tools, Six Sigma approach, statistical process charting, process capability analysis, measurement system analysis. (Offered jointly with STAT 465.)
Three term hours.
Not offered in 2017-18.
STAT-871: Design and Analysis of Experiments
Analysis of variance for fixed, random and mixed models; analysis of covariance; distribution of mean squares; classical designs including fractional factorial experiments, Latin squares and split plot designs. Modern topics including Taguchi methods and designs for nonlinear models.
Three term hours; lectures.
(Offered jointly with STAT-471)
STAT 873: Generalized Linear Models
An introduction to advanced regression methods for binary, categorical, and count data. Major topics include maximum-likelihood method, binomial and Poisson regression, contingency tables, log linear models, and random effect models. The generalized linear models will be discussed both in theory and in applications to real data from a variety of sources.(Offered jointly with STAT-473*.)
Not offered in 2017-18.
MATH 895: Probability Theory
The course provides basic knowledge in probability at the graduate level. Topics will include: basic notions and concepts of Probability Theory; characteristics functions; law of large numbers and central limit theorem; martingales; stochastic processes.
Three term hours, Winter.
Students in the past have completed electives within the listed departments. Any electives taken within other departments require approval from the MSc specializing in Biostatistics Program Director.