Graduate Course Information

Note:
"A" courses are offered in the fall term.
"Q" courses are offered in the first half of fall term.
"R" courses are offered in the second half of fall term.
"B" courses are offered in the winter 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 (A and B courses are .50 credits):

Students must take a minimum of 1.0 elective credits from within the department (B courses are .50 credits; Q, R, S, T and U/V courses are .25 credits):

Doctoral Degree in Epidemiology and Biostatistics - Epidemiology Field of Study

Epidemiology Doctoral students must take the following 3.0 credits (A and B courses are .50 credits; Q and R courses are .25 credits):

Students must take a minimum of 1.0 elective credits from within the department (B courses are .50 credits; Q, R, S, T and U/V courses are .25 credits):

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 (A and B courses are .50 credits; Q, R, S, T and U/V courses are .25 credits). 

Students in this stream are required to take the following courses ( 2.5 credits):

Fall Term

Winter Term

  • Biostatistics 9521B: Multivariable Methods in Biostatistics
  • Statistical Sciences 9030B: Statistical Inference

Summer Term

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

  • Computer Science 9637A/B:Introduction to Data Science
  • Actuarial Science 9004A: Survival Analysis
  • Statistical Sciences 9846A: Experimental Design
  • Statistical Sciences 9864A: Statistical Computing

Winter Term

Fall Term, Year 2

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 Collaborative Specialization Master's students must take a minimum of 2.0 credits from the following:

In addition, Biostatistics Collaborative Specialization Master's students must take a minimum of 1.5 elective credits from within the collaborative program:

  • 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:

In addition, Biostatistics Collaborative Specialization Doctoral students must take a minimum of 1.5 elective credits from within the collaborative program:

  • 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