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Course Information
Listed below are the required and elective courses, by degree type (MSc or PhD) and Field of Study (Epidemiology or Biostatistics). Courses outside of this list may be taken as electives with permission from the Supervisor and Graduate Chair. A Request to Enrol in a Graduate Course Outside Home Program form must be completed.
Enrolment priority is given to graduate students in the Epidemiology & Biostatistics graduate program. If there is space in the course, graduate students from other programs may register for a course provided they have: the required pre-requisites, permission of the course instructor and permission of their home program.
Course times, locations, and outlines are avalilable for current EpiBio students on the Graduate Course Schedules web page, or by email request ( EpiBio@uwo.ca) for other students.
For students enrolled in the Epidemiology Field of Study (as of September 1, 2024)
Master's Degree in Epidemiology and Biostatistics - Epidemiology Field of Study
Epidemiology Master's students must take the following 3.0 credits:
- Biostatistics 9509: Principles of Biostatistics (0.5 credits)
- Biostatistics 9519: Introduction to Biostatistical Computing (0.5 credits)
- Biostatistics 9521: Multivariable Methods in Biostatistics (0.5 credits)
- Epidemiology 9551: Foundations of Epidemiology (0.5 credits)
- Epidemiology 9553: Analytic Epidemiology (0.5 credits)
- Epidemiology 9562: Clinical Epidemiology (0.5 credits)
Students must take a minimum of 1.0 elective credits from the list below. Elective courses can be taken from other departments with approval of the Graduate Chair.
- Biostatistics 9541: Missing Data (0.25 credits)
- Biostatistics 9651: Multilevel Models (0.25 credits)
- Epidemiology 9512: Questionnaire Design and Survey Implementation (0.25 credits)
- Epidemiology 9514: Sampling Methods (0.25 credits)
- Epidemiology 9515: Epidemiology of Major Diseases (0.25 credits)
- Epidemiology 9530: Health Economics II (0.25 credits)
- Epidemiology 9540: Health Services Research Methods (0.25 credits)
- Epidemiology 9572: Introduction to Health Economics (0.25 credits)
- Biostatistics 9681: Causal Modelling (0.25 credits)
- Epidemiology 9516: Analysis of Population Health Data (0.25 credits)
- Epidemiology 9518: Advanced Analysis of Population Health Data (0.25 credits)
- Epidemiology 9526: Grant Writing and Peer Review (0.25 credits)
- Epidemiology 9566: Randomized Trials: Design (0.25 credits)
- Epidemiology 9568: Randomized Trials: Analysis (0.25 credits)
- Epidemiology 9580: Systematic Reviews (0.25 credits)
- Epidemiology 9582: Meta-analysis (0.25 credits)
- Epidemiology 9590: Measurement in Epidemiology (0.25 credits)
- Epidemiology 9690: Advanced Topics in Epidemiology & Biostatistics (0.25 credits)
Doctoral Degree in Epidemiology and Biostatistics - Epidemiology Field of Study
Epidemiology Doctoral students must take the following 3.5 credits:
- Biostatistics 9509: Principles of Biostatistics (0.5 credits)
- Biostatistics 9519: Introduction to Biostatistical Computing (0.5 credits)
- Biostatistics 9521: Multivariable Methods in Biostatistics (0.5 credits)
- Epidemiology 9551: Foundations of Epidemiology (0.5 credits)
- Epidemiology 9553: Analytic Epidemiology (0.5 credits)
- Epidemiology 9562: Clinical Epidemiology (0.5 credits)
- Biostatistics 9681: Causal Modelling (taken in Year 2 of the PhD Program, 0.25 credits)
- Epidemiology 9690: Advanced Topics in Epidemiology & Biostatistics (taken in Year 2 of the PhD Program, 0.25 credits)
Students must take a minimum of 1.0 elective credits from the list below. Elective courses can be taken from other departments with approval of the Graduate Chair.
- Biostatistics 9541: Missing Data (0.25 credits)
- Biostatistics 9651: Multilevel Models (0.25 credits)
- Epidemiology 9512: Questionnaire Design and Survey Implementation (0.25 credits)
- Epidemiology 9514: Sampling Methods (0.25 credits)
- Epidemiology 9515: Epidemiology of Major Diseases (0.5 credits)
- Epidemiology 9530: Health Economics II (0.5 credits)
- Epidemiology 9540: Health Services Research (0.25 credits)
- Epidemiology 9572: Introduction to Health Economics (0.5 credits)
- Epidemiology 9516: Analysis of Population Health Data (0.25 credits)
- Epidemiology 9518: Advanced Analysis of Population Health Data (0.25 credits)
- Epidemiology 9526: Grant Writing and Peer Review (0.25 credits)
- Epidemiology 9566: Randomized Trials: Design (0.25 credits)
- Epidemiology 9568: Randomized Trials: Analysis (0.25 credits)
- Epidemiology 9580: Systematic Reviews (0.25 credits)
- Epidemiology 9582: Meta-analysis (0.25 credits)
- Epidemiology 9590: Measurement in Epidemiology (0.25 credits)
For students enrolled in the Epidemiology Field of Study (start date prior to September 1, 2024)
Master's Degree in Epidemiology and Biostatistics - Epidemiology Field of Study
Epidemiology Master's students must take the following 2.5 credits:
- Biostatistics 9509: Principles of Biostatistics (0.5 credits)
- Biostatistics 9521: Multivariable Methods in Biostatistics (0.5 credits)
- Epidemiology 9551: Foundations of Epidemiology (0.5 credits)
- Epidemiology 9553: Analytic Epidemiology (0.5 credits)
- Epidemiology 9562: Clinical Epidemiology (0.5 credits)
Students must take a minimum of 1.0 elective credits from the list below. Elective courses can be taken from other departments with approval of the Graduate Chair.
- Biostatistics 9519: Introduction to Biostatistical Computing (0.5 credits)
- Biostatistics 9541: Missing Data (0.25 credits)
- Biostatistics 9651: Multilevel Models (0.25 credits)
- Epidemiology 9512: Questionnaire Design and Survey Implementation (0.25 credits)
- Epidemiology 9514: Sampling Methods (0.25 credits)
- Epidemiology 9515: Epidemiology of Major Diseases (0.5 credits)
- Epidemiology 9530: Health Economics II (0.5 credits)
- Epidemiology 9540: Health Services Research Methods (0.25 credits)
- Epidemiology 9572: Introduction to Health Economics (0.5 credits)
- Biostatistics 9681: Causal Modelling (0.25 credits)
- Epidemiology 9516: Analysis of Population Health Data (0.25 credits)
- Epidemiology 9518: Advanced Analysis of Population Health Data (0.25 credits)
- Epidemiology 9526: Grant Writing and Peer Review (0.25 credits)
- Epidemiology 9566: Randomized Trials: Design (0.25 credits)
- Epidemiology 9568: Randomized Trials: Analysis (0.25 credits)
- Epidemiology 9580: Systematic Reviews (0.25 credits)
- Epidemiology 9582: Meta-analysis (0.25 credits)
- Epidemiology 9590: Measurement in Epidemiology (0.25 credits)
- Epidemiology 9690: Advanced Topics in Epidemiology & Biostatistics (0.25 credits)
Doctoral Degree in Epidemiology and Biostatistics - Epidemiology Field of Study
Epidemiology Doctoral students must take the following 3.0 credits:
- Biostatistics 9509: Principles of Biostatistics (0.5 credits)
- Biostatistics 9521: Multivariable Methods in Biostatistics (0.5 credits)
- Epidemiology 9551: Foundations of Epidemiology (0.5 credits)
- Epidemiology 9553: Analytic Epidemiology (0.5 credits)
- Epidemiology 9562: Clinical Epidemiology (0.5 credits)
- Biostatistics 9681: Causal Modelling (taken in Year 2 of the PhD Program, 0.25 credits)
- Epidemiology 9690: Advanced Topics in Epidemiology & Biostatistics (taken in Year 2 of the PhD Program, 0.25 credits)
Students must take a minimum of 1.0 elective credits from the list below. Elective courses can be taken from other departments with approval of the Graduate Chair.
- Biostatistics 9519: Introduction to Biostatistical Computing (0.5 credits)
- Biostatistics 9541: Missing Data (0.25 credits)
- Biostatistics 9651: Multilevel Models (0.25 credits)
- Epidemiology 9512: Questionnaire Design and Survey Implementation (0.25 credits)
- Epidemiology 9514: Sampling Methods (0.25 credits)
- Epidemiology 9515: Epidemiology of Major Diseases (0.5 credits)
- Epidemiology 9530: Health Economics II (0.5 credits)
- Epidemiology 9540: Health Services Research (0.25 credits)
- Epidemiology 9572: Introduction to Health Economics (0.5 credits)
- Epidemiology 9516: Analysis of Population Health Data (0.25 credits)
- Epidemiology 9518: Advanced Analysis of Population Health Data (0.25 credits)
- Epidemiology 9526: Grant Writing and Peer Review (0.25 credits)
- Epidemiology 9566: Randomized Trials: Design (0.25 credits)
- Epidemiology 9568: Randomized Trials: Analysis (0.25 credits)
- Epidemiology 9580: Systematic Reviews (0.25 credits)
- Epidemiology 9582: Meta-analysis (0.25 credits)
- Epidemiology 9590: Measurement in Epidemiology (0.25 credits)
For students enrolled in the Biostatistics Field of Study (as of September 1, 2026)
Master's and Doctoral Degree in Epidemiology and Biostatistics - Biostatistics Field of Study
MSc students in the biostatistics stream need a total of 4.0 credits to graduate, and PhD students need a total of 4.5 credits.
Students in this stream are required to take the following courses (2.5 credits):
Fall and Winter Terms
- Biostatistics 9510: Biostatistical Research Methods (0.5 credits)
- Epidemiology 9551: Foundations of Epidemiology (0.5 credits)
- Biostatistics 9521: Multivariable Methods in Biostatistics (0.5 credits)
- Statistical Sciences 9030: Statistical Inference (0.5 credits)
Summer Term
- Biostatistics 9541: Missing Data (0.25 credits)
- Biostatistics 9651: Multilevel Models (0.25 credits)
In addition, students may choose elective courses from the following list (1.5 credits for MSc students, 2.0 credits for PhD students):
Fall Term
- Data Science 9000: Introduction to Data Science/Machine Learning (formerly CS 9637, 0.5 credits)
- Actuarial Science 9004: Survival Analysis (0.5 credits)
- Statistical Sciences 9846: Experimental Design (0.5 credits)
- Statistical Sciences 9864: Statistical Computing (0.5 credits)
- Epidemiology 9566: Randomized Trials: Design (0.25 credits)
- Epidemiology 9568: Randomized Trials: Analysis (0.25 credits)
Winter Term
- Epidemiology 9530: Health Economic Evaluation (0.5 credits)
- Epidemiology 9553: Analytic Epidemiology (0.5 credits)
- Statistical Sciences 9055: Generalized Linear Models (0.5 credits)
- Statistical Sciences 9850: Advanced Data Analysis (0.5 credits)
- Statistical Sciences 9833: Analysis of Brain Imaging Data (0.5 credits)
- Statistical Sciences 9924: Advanced Regression (0.5 credits)
Fall Term, Year 2
- Biostatistics 9681: Causal Modelling (0.25 credits)
- Epidemiology 9690: Advanced Topics in Epidemiology and Biostatistics (0.25 credits)
Exceptions to the course requirements may be granted, with permission from both the Graduate Chair and the Biostatistics Coordinator.
For students enrolled in the Biostatistics Field of Study (start date prior to September 1, 2026)
Master's and Doctoral Degree in Epidemiology and Biostatistics - Biostatistics Field of Study
MSc students in the biostatistics stream need a total of 3.5 credits to graduate, and PhD students need a total of 4.0 credits.
Students in this stream are required to take the following courses (2.5 credits):
Fall and Winter Terms
- Biostatistics 9510: Biostatistical Research Methods (0.5 credits)
- Epidemiology 9551: Foundations of Epidemiology (0.5 credits)
- Biostatistics 9521: Multivariable Methods in Biostatistics (0.5 credits)
- Statistical Sciences 9030: Statistical Inference (0.5 credits)
Summer Term
- Biostatistics 9541: Missing Data (0.25 credits)
- Biostatistics 9651: Multilevel Models (0.25 credits)
In addition, students may choose elective courses from the following list ( 1.0 credits for MSc students, 1.5 credits for PhD students):
Fall Term
- Data Science 9000: Introduction to Data Science/Machine Learning (formerly CS 9637, 0.5 credits)
- Actuarial Science 9004: Survival Analysis (0.5 credits)
- Statistical Sciences 9846: Experimental Design (0.5 credits)
- Statistical Sciences 9864: Statistical Computing (0.5 credits)
- Epidemiology 9566: Randomized Trials: Design (0.25 credits)
- Epidemiology 9568: Randomized Trials: Analysis (0.25 credits)
Winter Term
- Epidemiology 9530: Health Economic Evaluation (0.5 credits)
- Epidemiology 9553: Analytic Epidemiology (0.5 credits)
- Statistical Sciences 9055: Generalized Linear Models (0.5 credits)
- Statistical Sciences 9850: Advanced Data Analysis (0.5 credits)
- Statistical Sciences 9833: Analysis of Brain Imaging Data (0.5 credits)
- Statistical Sciences 9924: Advanced Regression (0.5 credits)
Fall Term, Year 2
- Biostatistics 9681: Causal Modelling (0.25 credits)
- Epidemiology 9690: Advanced Topics in Epidemiology and Biostatistics (0.25 credits)
Exceptions to the course requirements may be granted, with permission from both the Graduate Chair and the Biostatistics Coordinator.