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Graduate Course Information
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.
Listed below are the required and elective courses, by degree type (MSc or PhD) and Field of Study (Epidemiology or Biostatistics). Course times, locations, and outlines are avalilable by request from EpiBio@uwo.ca.
Notes:
"Q" courses are offered in the first half of fall term.
"R" courses are offered in the second half of fall term.
"S" courses are offered in the first half of winter term.
"T" courses are offered in the second half of winter term.
"U" & "V" courses are offered in the summer term.
For students enrolled in the Epidemiology Field of Study
Master's Degree in Epidemiology and Biostatistics - Epidemiology Field of Study
Epidemiology Master's students must take the following following 2.5 credits:
- Biostatistics 9509A: Principles of Biostatistics
- Biostatistics 9521B: Multivariable Methods in Biostatistics
- Epidemiology 9551A: Foundations of Epidemiology
- Epidemiology 9553B: Analytic Epidemiology
- Epidemiology 9562A: Clinical Epidemiology
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 9541U: Missing Data
- Biostatistics9651U: Multilevel Models
- Biostatistics 9631R: Statistical Software
- Epidemiology 9512Q: Questionnaire Design and Survey Implementation
- Epidemiology 9514R: Sampling Methods
- Epidemiology 9515B: Epidemiology of Major Diseases
- Epidemiology 9530B: Health Economics II
- Epidemiology 9540R: Health Services Research Methods
- Epidemiology 9572Q: Introduction to Health Economics
- Biostatistics 9681Q: Causal Modelling
- Epidemiology 9516S: Analysis of Population Health Data
- Epidemiology 9518T: Advanced Analysis of Population Health Data
- Epidemiology 9526U: Grant Writing and Peer Review
- Epidemiology 9566S: Randomized Trials: Design
- Epidemiology 9568T: Randomized Trials: Analysis
- Epidemiology 9580S: Systematic Reviews
- Epidemiology 9582T: Meta-analysis
- Epidemiology 9590S: Measurement in Epidemiology
- Epidemiology 9690S: Advanced Topics in Epidemiology & Biostatistics
Doctoral Degree in Epidemiology and Biostatistics - Epidemiology Field of Study
Epidemiology Doctoral students must take the following 3.0 credits:
- Biostatistics 9509A: Principles of Biostatistics
- Biostatistics 9521B: Multivariable Methods in Biostatistics
- Epidemiology 9551A: Foundations of Epidemiology
- Epidemiology 9553B: Analytic Epidemiology
- Epidemiology 9562A: Clinical Epidemiology
- Biostatistics 9681Q: Causal Modelling (taken in Year 2 of the PhD Program)
- Epidemiology 9690S: Advanced Topics in Epidemiology & Biostatistics (taken in Year 2 of the PhD Program)
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 9541U: Missing Data
- Biostatistics 9651U: Multilevel Models
- Biostatistics 9631R: Statistical Software
- Epidemiology 9512Q: Questionnaire Design and Survey Implementation
- Epidemiology 9514R: Sampling Methods
- Epidemiology 9515B: Epidemiology of Major Diseases
- Epidemiology 9530B: Health Economics II
- Epidemiology 9540R: Health Services Research
- Epidemiology 9572Q: Introduction to Health Economics
- Epidemiology 9516S: Analysis of Population Health Data
- Epidemiology 9518T: Advanced Analysis of Population Health Data
- Epidemiology 9526U: Grant Writing and Peer Review
- Epidemiology 9566S: Randomized Trials: Design
- Epidemiology 9568T: Randomized Trials: Analysis
- Epidemiology 9580S: Systematic Reviews
- Epidemiology 9582T: Meta-analysis
- Epidemiology 9590T: Measurement in Epidemiology
For students enrolled in the Biostatistics Field of Study (on or after September 1, 2020).
Master's and Doctoral 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 Term
- Biostatistics 9510A: Biostatistical Research Methods
- Epidemiology 9551A: Foundations of Epidemiology
Winter Term
- Biostatistics 9521B: Multivariable Methods in Biostatistics
- Statistical Sciences 9030B: Statistical Inference
Summer Term
- Biostatistics 9541U: Missing Data
- Biostatistics 9651U: Multilevel Models
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 9000A: Introduction to Data Science/Machine Learning (formerly CS 9637A/B)
- Actuarial Science 9004A: Survival Analysis
- Statistical Sciences 9846A: Experimental Design
- Statistical Sciences 9864A: Statistical Computing
Winter Term
- Epidemiology 9530B: Health Economic Evaluation
- Epidemiology 9553B: Analytic Epidemiology
- Epidemiology 9566S: Randomized Trials: Design
- Epidemiology 9568T: Randomized Trials: Analysis
- Statistical Sciences 9055B: Generalized Linear Models
- Statistical Sciences 9850B: Advanced Data Analysis
- Statistical Sciences 9833B: Analysis of Brain Imaging Data
- Statistical Sciences 9924B: Advanced Regression
Fall Term, Year 2
- Biostatistics 9631R: Statistical Software
- Biostatistics 9681Q: Causal Modelling
- Epidemiology 9690S: Advanced Topics in Epidemiology and Biostatistics
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 Collaborative Specialization (on or before September 1, 2019).
Master's Degree in Epidemiology and Biostatistics, Biostatistics Collaborative Specialization
- Biostatistics 9510A : (0.5 credit): Biostatistical Research Methods
- Epidemiology 9551A (0.5 credit): Foundations of Epidemiology
- Biostatistics 9521B : (0.5 credit) Multivariable Methods in Biostatistics
- Biostatistics 9681Q : (0.25 credit) Causal Modelling
- Epidemiology 9690S : (0.25 credit) Advanced Topics in Epidemiology & Biostatistics
- Biostatistics 9541U : (0.25 credit): Missing Data
- Biostatistics 9651U : (0.25 credit): Multilevel Models
In addition, Biostatistics Collaborative Specialization Master's students must take a minimum of 1.5 elective credits from the list below. Elective courses can be taken from other departments with approval of the Graduate Chair.
- Epidemiology 9553B (0.5 credit): Analytic Epidemiology
- Epidemiology 9566S (0.25 credit): Clinical Trials: Design
- Epidemiology 9568T (0.25 credit): Clinical Trials: Analysis
- Actuarial Science 9004A (0.5 credit): Survival Analysis
- Statistical Sciences 9846A (0.5 credit): Experimental Design
- Statistical Sciences 9030B (0.5 credit): Topics in Statistical Inference
- Statistical Sciences 9055B (0.5 credit): Generalized Linear Models
- Statistical Sciences 9850B (0.5 credit): Advanced Data Analysis
- Statistical Sciences 9864A (0.5 credit): Statistical Computing
- Statistical Sciences 9833B (0.5 credit): Analysis of Brain Imaging Data
- Statistical Sciences 9924B (0.5 credit): Advanced Regression
Doctoral Degree in Epidemiology and Biostatistics, Biostatistics Collaborative Specialization
Biostatistics Collaborative Specialization Doctoral students must take a minimum of 2.0 credits from the following:
- Biostatistics 9510A : (0.5 credit): Biostatistical Research Methods
- Epidemiology 9551A (0.5 credit): Foundations of Epidemiology
- Biostatistics 9521B : (0.5 credit) Multivariable Methods in Biostatistics
- Biostatistics 9681Q : (0.25 credit) Causal Modelling
- Epidemiology 9690S : (0.25 credit) Advanced Topics in Epidemiology & Biostatistics
- Biostatistics 9541U : (0.25 credit): Missing Data
- Biostatistics 9651U : (0.25 credit): Multilevel Models
In addition, Biostatistics Collaborative Specialization Doctoral students must take a minimum of 1.5 elective credits from the list below. Elective courses can be taken from other departments with approval of the Graduate Chair.
- Epidemiology 9553B (0.5 credit): Analytic Epidemiology
- Epidemiology 9566S (0.25 credit): Clinical Trials: Design
- Epidemiology 9568T (0.25 credit): Clinical Trials: Analysis
- Actuarial Science 9004A (0.5 credit): Survival Analysis
- Statistical Sciences 9846A (0.5 credit): Experimental Design
- Statistical Sciences 9030B (0.5 credit): Topics in Statistical Inference
- Statistical Sciences 9055B (0.5 credit): Generalized Linear Models
- Statistical Sciences 9850B (0.5 credit): Advanced Data Analysis
- Statistical Sciences 9864A (0.5 credit): Statistical Computing
- Statistical Sciences 9833B (0.5 credit): Analysis of Brain Imaging Data
- Statistical Sciences 9924B (0.5 credit): Advanced Regression