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 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.
Employment prospects for graduates in these fields are excellent, and students interested in co-op are encouraged to consider these streams. Studying Statistics is an excellent choice for students with strong quantitative skills and an interest in applying these skills to solve practical problems. |
| Grade for Entrance Previous Year (%)* | 87 to 100 |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
- Grade12 Advanced Functions
- Grade12 Calculus and Vectors
- Grade12 English
Applicants are required to have a High school diploma (OSSD), at least six (6) Grade 12 "U" or "M" courses. |
| Test Scores: | - International English Language Testing System (academic or immigration) [min. 6.5] or Test of English as a Foreign Language (Paper Based) [min. 600] or Test of English as a Foreign Language (Internet Based) [min. 100]
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* The entrance grade may change from year to year. Please contact the school for further information.
* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.
