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MSc Statistics at University of Toronto

University of Toronto, Canada

Programme overview

MSc Statistics is a graduate programme (Master of Science) in the Statistical Sciences graduate unit of the School of Graduate Studies at the University of Toronto. Length: 3 sessions full-time; 6 sessions part-time. Mode of delivery: In person. A part-time option is available.

Faculty: School of Graduate Studies  |  Department: Statistical Sciences  |  Duration: 3 sessions full-time; 6 sessions part-time  |  Study mode: full-time/part-time  |  Location: Toronto, Ontario, Canada

What you will study

Both the Statistical Theory and Applications field and the Probability field have the same program requirements. All programs must be approved by the Associate Chair for Graduate Studies. Students must complete a total of 4.0 full-course equivalents (FCEs) , of which 1.0 must be chosen from the following list: STA2101H , STA2201H , STA2111H , STA2211H , STA2

Official programme page

Application information

Entry requirements

Admission to the MSc program is competitive, and applicants are admitted under the General Regulations of the School of Graduate Studies. Admission requirements for the Statistical Theory and Applications field and the Probability field are identical. Successful applicants have: An appropriate bachelor's degree from a recognized university in a related field such as statistics, actuarial science, mathematics, economics, engineering, or any discipline where there is a significant quantitative component. Studies must include significant exposure to statistics, computer science, and mathematics, including coursework in advanced calculus, computational methods, linear algebra, probability, and s

Graduate applications are made online through GradApp; deadlines vary by program and are set by each graduate unit. The application fee is CDN $135, non-refundable, and a supplementary application fee may apply depending on the program.

Apply through the official page: https://future.utoronto.ca/applying

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