Applicants to bachelor’s studies at the University of Toronto apply through the Enrollment Services.
Statistical methods have applications in almost all areas of science, engineering, business, government, and industry. The practising statistician is involved in such diverse projects as designing clinical trials to test a new drug, economic model-building to evaluate the costs of a guaranteed-income scheme, predicting the outcome of a national election, planning a survey of television viewing habits, and estimating animal populations.
Today’s consumer is bombarded with the results of so many quantitative studies using statistical methodology that it is necessary to know something about statistics in order to be properly critical. A basic knowledge of statistics should be an integral part of everyone’s general education.
Probability theory is used to analyse the changing balance among age-groups in a population as the birth rate changes, the control force needed to keep an aircraft on course through gusts of wind, the chance that the demand for electricity by all the customers served by a substation will exceed its capacity. These are just three of many phenomena that can be analysed in terms of randomness and probability.
The course offerings are intended not only for specialists in the theory of the subject but also to serve the needs of the many other disciplines that use statistical methods, e.g. in sample survey design and experimental design. Students following the Specialist Program are encouraged to include courses in major fields of application in their overall program. The Major Program can be profitably combined with specialization in another discipline.
Both applied and theoretical courses are offered in Statistics and Probability. The foundation courses STA 220H, 221H, 247H, 248H, 250H, 255H, 257H and 261H are distinguished primarily by their mathematical demands, as indicated by the prerequisites. Students interested in the Biological or Social Sciences will generally find the most relevant courses of the more advanced courses to be STA 302H, 322H, 332H, 429H, AND 437H. Furthermore, the probability course STA 347H will be of interest to those whose field of application includes stochastic models.
Associate Chair for Undergraduate Studies (STA): Dr. A. Gibbs; email: firstname.lastname@example.org
Enquiries: 100 St. George Street, Sidney Smith Hall, Room 6018A Contact: Gillis Aning UG Administrator email: email@example.com (416-978-5041)
Please refer to the programs and courses link for more information about the Statistics program and
Please refer to the Scholarships link for more information.