Data science is a growing sector, with the potential to change the way we live in the future by solving or offering insights into many of the largest problems of today. On this dynamic course, you’ll learn the programming and maths skills to use these technologies to solve real-world problems relevant to your existing knowledge and expertise. You’ll learn to create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets. You’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
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These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
Successful completion of a Bachelor’s degree (three-year or four-year) at a recognised institution, with a minimum cumulative grade/ GPA (using 0-4 GPA scale) equivalent, corresponding to the published course entry requirements (please see the degree classification required on the course page for the degree programme to which you are applying). For Bachelor’s degrees completed in Canada:
First degree class required: 3.6 GPA or higher (minimum 82%)
2:1 degree class required: 2.9 – 3.59 GPA (minimum 70%)
2:2 degree class required: 2.4 – 2.89 GPA (minimum 62%) |
* 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.