Master's in Mathematics & Statistics in Canada

Biostatistics (M.Sc.)

The Master of Science (M.Sc.) in Biostatistics (Non-Thesis) is a course-based program offered by the Department of Epidemiology, Biostatistics, and Occupational Health. It focuses on rigorous learning and collaboration to equip students with essential skills in problem identification, data analysis, and scientific communication. This program prepares graduates for professional roles or further academic study in the field.

Master of Mathematics (MMath) in Applied Mathematics - Quantum Information

The Master of Mathematics (MMath) in Applied Mathematics with a specialization in Quantum Information is a research-focused, on-campus program. It is designed for students who have a strong undergraduate background in mathematics and wish to delve into the cutting-edge field of quantum information. The program offers both full-time and part-time study options, with a thesis-based research component as the primary study option. This program aims to provide students with advanced knowledge in applied mathematics and a deep understanding of quantum information principles. Students will engage in coursework and independent research, culminating in a thesis that contributes to the understanding of quantum information science. The curriculum is structured to ensure a broad foundation in mathematics alongside specialized knowledge in quantum information.

Master of Science (M.Sc.) Biostatistics (Thesis)

Master's and PhD in Applied Mathematics

The University of Waterloo offers thesis-based Master of Mathematics (MMath) and Doctor of Philosophy (PhD) degrees in Applied Mathematics. The MMath program typically takes two years to complete, while the PhD program usually requires four years. Admission to the PhD program generally requires a prior thesis-based Master's degree, though Master's students may apply for direct transfer to the PhD program after one year by passing an exam. Students work closely with a supervisor and an advisory committee to select courses that broaden their knowledge in mathematics and its applications, often drawing from other departments within the Faculties of Mathematics, Science, and Engineering. The Master's thesis is a comprehensive research study assessed by a committee, culminating in a defense presentation and questioning. PhD students also have an advisory committee and undergo annual progress meetings and a comprehensive examination in their second year, where they defend a research proposal. PhD candidates are also required to complete a lecturing requirement by teaching an undergraduate course, typically after gaining experience as a teaching assistant.

Mathematics and Statistics (MSc)

The Master of Science (MSc) in Mathematics and Statistics at Brock University offers an advanced and intensive education designed to prepare students for doctoral studies or professional careers. You can choose to specialize in either the Mathematics stream or the Statistics stream. The Department of Mathematics and Statistics is highly recognized for its research output among Ontario universities. This program is offered on Brock's main campus, providing a stimulating academic environment.

MSc Biostatistics

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.

MSc in Statistical Sciences

The Master of Science (MSc) in Statistical Sciences program at the University of Toronto provides advanced training in statistical theory and application. It is designed for students with a strong background in mathematics, statistics, or related quantitative fields who are seeking to deepen their knowledge and research skills. The program emphasizes rigorous coursework, research experience, and the development of analytical and problem-solving abilities essential for careers in academia or industry. Admission is competitive, and successful applicants demonstrate outstanding academic performance, strong letters of recommendation, and a clear statement of purpose outlining their graduate study goals.

MSc: Biostatistics – Course-only Option

The Master of Science (MSc) in Biostatistics with a Course-only Option is designed for students aiming to pursue a PhD or enter the workforce in biostatistics. This program requires the completion of 5.0 Full Course Equivalents (FCE), comprising 4.0 FCE of mandatory courses and 1.0 FCE of electives. The curriculum focuses on statistical design and analysis techniques essential for practicing biostatisticians and data scientists.

Statistical Sciences

The field of Statistical Sciences explores random phenomena across various scientific, industrial, and social processes. With the increasing availability of data and advancements in computational tools, the complexity of data modeling is growing. Statistical methods have significantly impacted nearly every branch of knowledge and research. The Department of Statistical Sciences offers substantial computing facilities and a statistical consulting service. Programs can involve collaborations with departments such as Astronomy and Astrophysics, Public Health, Information, Mathematics, Philosophy, Psychology, Sociology, Management, and Environmental Studies. The department hosts an active seminar series, encouraging graduate student participation.