The MSc in Statistics in the Department of Statistical Sciences at the University of Toronto (UofT) offers rigorous and distinguished graduate education at one of the world’s leading research universities. UofT is ranked among the top institutions globally, including 8th worldwide in Statistics according to the 2025 Shanghai Subject Rankings. The MSc program provides training in probability, statistical theory, statistical methodology, applied statistics, computational statistics, machine learning, and data science. Students graduate with both the analytical depth and technical fluency needed to excel in today’s data-driven world.
Designed to be both structured and highly flexible, the program allows students to tailor their studies to their ambitions. Students complete 4.0 full-course equivalents (FCEs), including foundational courses in areas such as applied statistics, probability, statistical learning, or computational statistics. Beyond this core, students work closely with the Graduate Administration to shape a coherent and personalized program of study, developing advanced expertise in areas ranging from theoretical statistics to cutting-edge data science and machine learning.
The MSc is intentionally positioned to serve both as a high-value terminal degree and as a strong pathway to doctoral research. Students seeking to enter industry benefit from a curriculum that emphasizes practical data analysis, computational skills, and effective communication, preparing them for roles in technology, finance, healthcare, and beyond. At the same time, students with research ambitions can pursue more advanced theoretical coursework and engage in independent study, including reading courses or supervised research projects with leading faculty.
Students may further enrich their training by taking graduate courses across UofT, leveraging the institution’s exceptional breadth in mathematics, computer science, and related disciplines. This combination of academic excellence, flexibility, and access to world-class expertise ensures that graduates are exceptionally well prepared, whether they choose to launch impactful professional careers or continue to top-tier PhD programs.
Course Planning
The MSc in Statistics offers flexibility for students to shape their coursework around their interests. Below are example areas of emphasis that reflect common pathways through the program. These examples are meant to illustrate possible directions rather than fixed streams, and students are encouraged to work with the Department’s Graduate Administration to design a program that matches their background and goals. Course availability varies by academic year, so students should consult the current timetable for the most up-to-date offerings.
Course planning sessions will be available during the summer months (July and August) by appointment. Please contact the graduate team at grad.statistics@utoronto.ca.
Students interested in probability, statistical theory, and methodological foundations may wish to focus on courses such as:
Students interested in data analysis, modeling, and statistical applications across substantive domains may wish to consider:
Students interested in statistical computing, computational methods, and data science may wish to focus on:
Students who are considering doctoral study or who would like to gain experience with independent study may wish to include a reading or research course in their program. These courses provide an opportunity to explore a topic in greater depth under the supervision of a faculty member. Students are responsible for identifying a supervisor and developing a plan of study in consultation with that faculty member.
Students interested in careers in industry may wish to consider the internship pathway, which combines professional experience with structured career preparation. This option is intended for students seeking to apply their statistical and data science training in professional settings. Please note these two courses must be taken together and may bring your total program to 4.25 FCE, and for 2026-2027 the internship option is only open to domestic students.
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STA4600 Professional Development & Career Foundations (0.25 FCE)
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This course helps students build essential skills for securing internships or future employment and thriving in a professional environment. While the specific topics may vary with each offering, they typically include job search strategies, public speaking for diverse audiences, networking, and effective professional communication.
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For more information on program requirements, please visit the School of Graduate Studies calendar.
Please have a look at our graduate course descriptions. Not all courses are offered every academic session. For sessional offerings, please see our timetable.
Questions about your program?
Please reach out to the graduate team at grad.statistics@utoronto.ca.