|School:||University of Toronto – Scarborough|
|Faculty:||Computer and Mathematical Sciences|
|Degree:||Bachelor; Co-op; Honours|
|Field of Study:||Statistics, General
|Description:||Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. The discipline is research-intensive, and includes many interesting aspects such as probability and game theory, statistical modeling and analysis. All of these are applicable to virtually every field.
The new Machine Learning and Data Mining stream provides a specialist program in a dynamic, high-demand, and fast-growing field that lies at the intersection of statistics and computational sciences. It is driven by applied problems in science and technology, where data streams are increasingly large-scale, high-dimensional and heterogeneous. This specialist stream is quite unique; we are not aware of a similar program currently offered elsewhere.
|URL:||Statistics – Machine Learning & Data Mining Stream (HBSc) at University of Toronto – Scarborough|
|Cost per year:*||
The cost listed is effective for the 2018-2019 academic year.
|Careers:||Mathematicians, Statisticians and Actuaries|
|Grade for Entrance Previous Year (%)*||80 to 87|
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
Applicants are required to have a High school diploma (OSSD), at least six (6) Grade 12 “U” or “M” courses.