Statistics, Applied


Faculty List

Emeritus Senior Lecturer
O. Fraser,  B.Com., M.Sc.
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
905-569-4381
chairmcs.utm@utoronto.ca

Faculty Advisor
Luai Al Labadi
Room 3072, Deerfield Hall
luai.allabadi@utoronto.ca

Academic Advisor and Undergraduate Program Administrator
Laura Ferlito
905-828-5418
laura.ferlito@utoronto.ca
www.utm.utoronto.ca/mcs

 

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 department (BIO360H5, and BIO361H5), the Economics department (ECO220Y5), the Psychology department (PSY201H5 and PSY202H5), the Sociology department (SOC350H5 and SOC351H5). In addition, the Statistics department offers (STA218H5) for the Management department. These courses are not intended for students planning to pursue a degree in statistics, mathematics, or computer sciences.

Introductory Statistics and Probability Courses: Calculus Based

U of T Mississauga Statistics courses STA107H5, followed by STA256H5, STA258H5 and STA260H5 form a calculus based introduction to probability and applied statistics. These courses 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.

Students enrolled in STA programs may participate in the PEY program. For more information visit University of Toronto Engineering Career Centre (ECC).

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

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