The Master of Science (MSc) in Biostatistics program equips students with advanced methods in biostatistical analysis. The curriculum covers foundational topics like mathematical statistics, survival analysis, categorical data analysis, and applied Bayesian methods, alongside a variety of electives. These electives can include specialized areas such as clinical trials, predictive modeling, applied machine learning, and correlated data analysis. The program's instructors are faculty members with practical experience as biostatisticians in major research institutions affiliated with the university, including leading hospitals and cancer centers. Graduates are prepared to work as biostatisticians or data scientists within interdisciplinary research teams, meeting the high demand in academia, government, and industry.
The MSc Biostatistics program offers three options: a course-only option, a course-only option with an emphasis in Artificial Intelligence (AI) and Data Science, and a thesis option. All students initially apply to the course-only program. The AI/Data Science option requires specific electives and availability of practicum projects. Transition to the thesis option is possible until the end of March of the first year for students in good academic standing.
Graduates are prepared for roles that offer strong career stability, good earning potential, and the opportunity to contribute to public health advancements. The field of biostatistics is growing, with significant demand across various sectors.
Applicants who studied outside Canada must verify if their previous university instruction in English meets the waiver criteria on the SGS website. Applications without required ELP documentation by the deadline will be rejected. An international degree equivalency tool is available on the SGS website.
Tuition fees are charged per session (fall and winter) for the duration of registration. International students are advised of the program length for visa purposes, and may need to extend study permits if opting for the thesis track and taking longer than one year.
You need at least a mid-B average in your final year of study or the last 5.0 full course equivalents at a senior level, along with completed courses in linear algebra, advanced calculus, probability, and mathematical statistics.
Yes, there is a course-only option with an emphasis in Artificial Intelligence (AI) and Data Science. This option requires specific electives and practicum project availability.
The course-only option is typically 12 months. The thesis option can extend up to 24 months.
Tuition fees are charged per session (fall and winter) for the duration of registration. Specific amounts for international students are not listed on the program page.
Graduates are prepared for roles such as Biostatistician or Data Scientist in academia, government departments, teaching hospitals, pharmaceutical companies, and contract research organizations.
The application deadline is not specified on the program page. Please refer to the University of Toronto graduate admissions website for this information.