Explore how data can be used to address real-world challenges. Course modules offer opportunities to gain hands-on experience in areas such as AI, analytics and programming, helping you build skills that are relevant to roles in technology, business, science and related fields. This course is designed for those passionate about data-driven problem-solving. You’ll have the opportunity to develop knowledge and skills in mathematics, AI and machine learning which are relevant across sectors such as IT, healthcare and finance. With hands-on projects, optional placement opportunities and the potential to progress to advanced study through the integrated master’s degree in data science route, this course supports your preparation for a range of roles in data science and related fields. |
| Grade for Entrance Previous Year (%)* | 80 |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
Students who have completed secondary school studies (Grade 12) or the Diploma of Collegial Studies (DCS). Students who hold an International Baccalaureate (IB) from High School with a minimum score of 30 overall. Students are required to have: - an IELTS score of at least 6.0 overall with a minimum of 5.5 in each component or
- TOEFL iBT with a score of 79 and a minimum component score of 18 or
- TOEFL iBT (new scoring scale) 4.0 overall with a minimum component score of 4.0.
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| Test Scores: | - International English Language Testing System (academic or immigration) or Test of English as a Foreign Language (Internet Based) or Test of English as a Foreign Language (Internet Based)
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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.