Statistics, Applied


Faculty List

Professor Emeriti
A. Weir, B.Sc., M.Sc., Ph.D

Professors and Lecturers
O. Aghababaei Jazi, B.Sc., M.Sc., Ph.D.
L. Al Labadi, B.Sc., M. Sc., Ph.D.
L.J. Brunner, B.A., Ph.D., M.A., Ph.D.
K. Davies, Hon. B.Sc., M.Sc., Ph.D.
D. Kong, B.Sc., Ph.D.
A. Nosedal-Sánchez, B.Sc., M.Sc., Ph.D.
S. Volgushev, Ph.D.

Chair
Ilia Binder
Room 3016, Deerfield Hall
905-828-3834
chairmcs.utm@utoronto.ca

Vice-Chair, Mathematics and Statistics
Jacopo De Simoi
Room 3040, Deerfield Hall
905-569-5698
jacopods@math.utoronto.ca

Associate Chair, Statistics
Luai Al Labadi
Room 3036, Deerfield Hall
luai.allabadi@utoronto.ca

Academic Advisor and Undergraduate Program Administrator
Laura Ferlito
laura.ferlito@utoronto.ca
www.utm.utoronto.ca/math-cs-stats

 

Statistical methods have applications in almost all areas of science, medicine, engineering, business, politics, psychology, law, and the environment. A practicing statistician is involved in a diversity of projects: testing the effectiveness of a new vaccine, working on the human genome project, forecasting stock yields, examining the effectiveness of television advertising, predicting election results.

Today we are bombarded with information from quantitative studies, information generated from the application of statistical methodologies. While much of this information is valid, some of it is not. An understanding of applied statistics will make you a critical consumer of numbers presented by the media. A basic knowledge of statistics should be an integral part of everyone's education.

The Applied Statistics Specialist Program at U of T Mississauga provides students with a solid foundation in the fundamental aspects of probability and introduces students to a broad range of applied statistics methodologies. The Major and Minor Programs in Applied Statistics consist largely of STA courses, and may be combined with programs in other subjects.

Introductory Applied Statistics Courses: Non-Calculus Based

U of T Mississauga Statistics courses, STA215H5, STA220H5, and STA221H5 are non-calculus entry-level introductions to statistics. Rough equivalents to these courses are offered by the Biology, Economics, Psychology and Sociology department. These courses are not intended for students planning to pursue a degree in statistics, mathematics, or computer sciences. Some departments have changed which statistics courses they allow for program requirements (such as Biology).  To learn more, please consult with the respective departments.

Introductory Statistics and Probability Courses: Calculus Based

U of T Mississauga Statistics courses STA246H5, STA256H5, STA258H5 and STA260H5 form a calculus-based introduction to probability and applied statistics. STA256H5, STA258H5 and STA260H5 are intended for students planning to pursue a degree in statistics, mathematics, or computer science. Various other departments accept these courses in place of a non-calculus based introduction to applied statistics course. IMPORTANT NOTE: STA246H5 cannot be used towards any program(s) in Applied Statistics or Mathematics. This course is intended only for students in Computer Science programs who will not need STA256H5 for other program requirements. STA246H5 will not be permitted as a pre-requisite for any other 200+ level STA courses.

A wide variety of upper-level courses is available to students who have the proper prerequisites. Students should feel free to consult the department regarding course selection.

Students should also review the Degree Requirements section prior to selecting courses

Program websitehttps://www.utm.utoronto.ca/math-cs-stats