The Data Science and Analytics (DSA) master's and PhD programs are a natural extension of the popular Collaborative Specialization in Data Science that was launched in 2015 which is offered jointly by several departments. Data Science is a field which has grown in huge leaps. The Collaborative Specialization is focused on interdisciplinary Data Science. In contrast, our full master's and PhD programs are totally focused on the technical aspect of Data Science. The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering.
Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSA, and more. |
| Grade for Entrance Previous Year (%)* | 70 |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
4-year (honours) bachelor's degree
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| Test Scores: | - Test of English as a Foreign Language (Paper Based) [min. 580] or Canadian Academic English Language Assessment [min. 70] or Test of English as a Foreign Language (Internet Based) [min. 86] or International English Language Testing System (academic or immigration) [min. 6.5]
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| Additional Admission Requirements: | |
* 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.
