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Our graduate programs blend components from Statistics, Computer Science, and Optimization. There's a pressing industry-wide demand for comprehensive graduate education spanning these fields. We strive to deliver both extensive coverage and specialized expertise in these three domains as they relate to the rapidly evolving, internationally acknowledged field of Data Science. Professionals skilled in this area are highly sought after. Whether you're enhancing your qualifications through a course-based co-op master's or pursuing a research-focused master's degree, you can anticipate an engaging, well-connected, and practical learning adventure. The Master's in Data Science and Artificial Intelligence is a structured coursework initiative addressing the escalating worldwide need for expertise in Data Science and AI. The syllabus acknowledges the interdisciplinary nature of these fields and emphasizes hands-on learning. Degree completion involves nine graduate-level data science courses. The program establishes a robust foundational education, enabling graduates to readily adjust to evolving industry demands. Presently, students can choose between full-time co-op and part-time non-co-op options. The full-time MDSAI co-op program enhances its foundational training mission by incorporating a 4-month co-op placement, offering practical experience in data science and AI workplaces. Backed by the University of Waterloo's world-leading Co-operative Education system, this program seamlessly integrates theoretical knowledge with professional industry exposure.