国际学生入学条件
Honours Bachelor's degree or equivalent in data science, computer science, statistics, mathematics or a related field, with a minimum overall average of 78%.
Experience at the senior level in at least one of computer science or statistics.
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Supplementary information form (SIF)
The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirement
If a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completion
Transcript(s)
References
Three references are required, at least two academic
Proof of English language proficiency, if applicable
TOEFL 100 (writing 26, speaking 26), IELTS 7.5 (writing 7.0, speaking 7.0)
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IDP—雅思考试联合主办方

雅思考试总分
7.5
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雅思考试指南
- 雅思总分:7.5
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:PTE (Academic) - 68 (writing 65, speaking 65)
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Our graduate programs incorporate elements of Statistics, Computer Science, and Optimization. The need for integrated graduate training across these disciplines is acutely felt across all industries. Our aim is to provide breadth and depth in all three of these areas as they pertain to the emerging and world-recognized discipline of Data Science. Individuals with knowledge in this discipline are in high demand. Whether upgrading your education with a course-based co-op master's program, or embarking on a research-based master's, you can look forward to an inspiring, connected, relevant journey of discovery. The Master's of Data Science and Artificial Intelligence is a coursework program designed to meet the growing global demand in the fields of Data Science and Artificial Intelligence. The curriculum recognizes the interdisciplinarity of data science and AI, as well as the importance of experiential learning. The degree requirements include nine graduate courses relevant to data science. The program provides strong core training so that graduates can adapt easily to changes and new challenges from industry. Currently, the two program options include full-time co-op and part-time regular (non-co-op). The full-time MDSAI co-op program expands on the mission to provide strong core training through a 4-month co-op experience, providing the opportunity for hands-on experience working in the field of data science and artificial intelligence. Supported by Waterloo's Co-operative Education program, the largest of its kind in the world, this program aims to meld a strong theoretical knowledge-base with real-world industry experience.
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