| | Statistics - Machine Learning & Data Mining Stream (HBSc) | | |
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| School | University of Toronto - Scarborough | | |
| Location | Toronto, ON, Canada | | |
| School Type | University | | |
| School Size | Full-time Undergraduate: 13,957
Full-time Graduate: 925 | | |
| Degree | Bachelor | | |
| Honours | | | |
| Co-op | | | |
| Length | 4 Year(s) | | |
| Entry Grade (%)* | 87% to 100% | | |
| Prerequisites | - Grade12 Advanced Functions
- Grade12 Calculus and Vectors
- Grade12 English
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| Prerequisites Notes | Applicants are required to have a High school diploma (OSSD), at least six (6) Grade 12 "U" or "M" courses. | | |
| Cost |
Please visit our website to learn more about tuition and fees. | | |
| Scholarships | | | |
| 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 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. | | |
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