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PhD Biostatistics


Objectives

Graduates from the Biostatistics Division will be well suited to work as independent researchers within a university setting, and to take a leadership or supervisory role in university research institutes, government departments, hospitals, pharmaceutical/health corporations, and other health agencies such as cancer research units.

Admission Requirements

Click here for information regarding the application process.
A Master’s degree in biostatistics, statistics, biology, computer science or economics is required.
Also required are undergraduate or graduate courses in linear algebra, advanced calculus, probability and mathematical statistics.

Course Requirements: (2.0 – 3.5 FCE)

  • All students are required to take the courses listed below. Those who have completed them at the Master’s level and have achieved at least an A-, may be given an exemption and be required to replace these courses with electives.
  • Students who have taken their MSc in the department, may have taken some or all of these courses already. In this case their program of study will be designed with consultation of the program director at the time of admission.
Required:  
CHL5004H Introduction to Public Health (0.5)
CHL5208Y Advanced Laboratory in Statistical Design and Analysis (1.0)
CHL5210H Categorical Data Analysis (0.5)
CHL5250H Biostatics Seminar (0.5)
  Plus one of the following:  
CHL5209H Survival Analysis I (0.5)
STA2209H Lifetime Data Modeling (0.5)
     
Electives:  
CHL5222H Longitudinal Data Analysis (0.5)
CHL5223H Applied Bayesian Methods (0.5)
CHL5224H Statistical Genetics (0.5)
CHL5225H Advanced Statistical Methods for Clinical Trials (0.5)
CHL5401H Introduction to Epidemiology (0.5)
CHL5402H Epidemiologic Methods II (0.5)
STA2004Y Design of Experiments (0.5)
STA2101Y Methods of Applied Statistics I (0.5)
STA2112H Mathematical Statistics I (0.5)
STA2212H Mathematical Statistics II (0.5)
STA3000Y Advanced Theory of Statistics (0.5)
CHL7001H Statistical Methods for Genomics and Bioinformatics (0.5)
CHL7001H Statistical Methods in Data Mining (0.5)
CHL7001H Spatial Modeling (0.5)
CHL7002H Simulation Methods (0.5)

Notes

  • The above requirements apply to all students in general. There will be exceptions.  In some situations, the student, in discussion with the Division Head, will be allowed to substitute alternatives for some of the courses in the required list, or be given exemptions based on their previous academic experience.
  • Students may also find it useful to take other courses from the Department of Statistics, or Department of Computer Science.

Biostatistics Main Page

PhD

Dalla Lana School of Public Health, University of Toronto
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Last Update 10/15/2010