Statistics is the science of data. Probability deals with the mathematics of uncertainty and statistics deals with modeling of random processes based on observed data. Statistical theory and methodology have applications in almost all areas of science, engineering, business, government and industry. New ways of collecting, organizing, visualizing, and analyzing data are increasingly driving progress in all fields.
- Apply to the Physical & Mathematical Sciences admission category on the St. George campus
- Six Grade 12 U or M courses, including English and Calculus and Vectors are required
- Students outside of Ontario should have the equivalent senior high school credits
- Statistics (specialist, major and minor)
- Applied Statistics (specialist)
- STA130H1 - An Introduction to Statistical Reasoning and Data Science
Advice for First Year
In first year, students interested in programs of study in statistics should consider these courses:
- Calculus: MAT137Y1 or MAT135H1+MAT136H1 (Required in first year).
Students interested in the Statistics specialist program should take MAT137Y1.
(MAT157Y1 can be substituted. MAT133Y1 is not recommended for any statistics program of study.
- Linear Algebra: MAT223H1 (Recommended in first year).
(MAT240H1 can be substituted).
Science: CSC120H1 or CSC121H1 or CSC108H1
CSC108H1 is recommended for students who may want to take additional courses in computer science. (Students with a background in computer science may consider enrolling directly in CSC148H1). Other students planning to enroll in statistics programs of study should consider taking CSC121H1 which uses the R language, which is widely used for statistical applications.
- Statistics: STA130H1 is strongly recommended for all students considering a program of study in statistical sciences.
A degree in statistics is excellent preparation for a career in any field that requires quantitative analysis. Statisticians are employed in all sectors, including health and medicine, business, finance, technology, public policy and government. For this reason, it is often a good idea to combine your studies in statistics with the study of another field such as psychology, geography, human biology, economics, etc. Data scientists have both the statistical and computational skills to manage and make sense of large amounts of data. A program of study that combines statistics with computer science is excellent preparation for a career as a data scientist.