All degree programs provide students with strong analytic and quantitative skills needed to conduct biomedical research, disease surveillance, and program evaluation. Students are invited to refer to the most recent catalogue for specific course requirements.

The focus of the training program is: theory of biostatistics, data analytic methods (univariate and multivariate analysis, generalized estimating equations, survival analysis, logistic regression analysis, statistical methods for epidemiological studies), experimental design (including the design, conduct and analysis of clinical trials), statistical methods in human genetics, biomedical informatics and advanced statistical computing methods. Statistical methods are taught both from a practical and theoretical perspective.

This degree is structured for students to:

• Understand and apply statistical methods for the design of biomedical research and analysis of biomedical research data;.
• Understand and use mathematical and statistical theory underlying the application of biostatistical methods; use and interpret results from specialized computer software for the management and statistical analysis of research data;
• Learn to participate in a research team setting in study design, data coordination and management, and statistical analysis and reporting of study results;
• Participate in a research team in the development and evaluation of new and existing statistical methodology.