Biostatistics Collaborative Program
This course of study introduces students to the statistical theory and applications of statistics to medical and health studies. Students learn how to carry out medical related statistical research and applications within the context of a major project. Students admitted to the collaborative program should expect to take three (3) or four (4) terms to complete the MSc program. The number of terms will be specified in the offer of admission based on an evaluation of the student's academic background.
Prior to program entry, students are expected to have a significant knowledge of Linear Algebra, Calculus, Intermediate Probability, Mathematical Statistics, Design of Experiment, and Regression.
An average grade of 78% on the last twenty (20) one term courses taken is normally required for admission to the program. Because of the competitive nature of the program, the actual minimum entering average may be higher. Higher grades on mathematical and statistical courses will increase an applicant's chances of acceptance into this program.
A quick summary of the course requirements for the Master's level biostatistics collaborative program is as follows:
1. Two (2) courses in Epidemiology & Biostatistics chosen from (A=offered in the fall term, B=offered in the winter term):
- Biostatistics 9510A (Biostatistical Research Methods);
- Biostatistics 9521B (Multivariable Methods in Biostatistics);
- Epidemiology 9560 (Design and Analysis of Clinical Trials).
2. Two (2) courses in Statistical and Actuarial Sciences chosen from :
- Actuarial Science 9004A (Survival Analysis);
- Statistical Sciences 9030B (Statistical Inference);
- Statistical Sciences 9055B (Generalized Linear Models);
- Statistical Sciences 9846A (Design and Analysis of Experiments);
- Statistical Sciences 9850B (Advanced Data Analysis);
- Statistical Sciences 9864A (Statistical Computing);
- Statistical Sciences 9924A (Advanced Regression).
3. Four (4) additional courses in Statistics or Biostatistics.
In Addition, students and faculty will participate in a working seminar/Journal Club in which current research papers or student research are discussed, and attend joint seminars in biostatistics.
Please refer to the official description for further details regarding this program. If it occurs that the summary provided above, and the official description differ, the official version will take priority.