Master in Data Science and Artificial Intelligence MDSAI Coop

The University of Waterloo, founded in 1957 in Ontario, is a leading public research university known for excellence in engineering, mathematics, computer science and innovation. With roughly 41,000 students and more than 9,600 international learners, Waterloo combines rigorous academics with a culture of entrepreneurship and experiential education. Its strong ties to industry and research institutes help students access cutting-edge projects and mentorship from researchers and business leaders.

Waterloo’s distinctive cooperative education model integrates paid work terms with academic study, enabling students to gain practical experience, refine career goals and build professional networks. The university offers extensive undergraduate and graduate program options across more than 300 areas of study, and research centres such as the Institute for Quantum Computing and the Perimeter Institute enhance opportunities for advanced study and collaboration.

On-campus and off-campus accommodation options are available, with residence communities, meal plans and support services to help international students settle in. The university’s strong career services, entrepreneurship resources and alumni network support transitions into industry or further study. If you value a rigorous STEM-focused education, hands-on co-op experience and a research-rich environment, Waterloo offers a dynamic setting to launch a global career.

The Master in Data Science and Artificial Intelligence MDSAI Coop is a 2-year master's program for students with a bachelor's degree, taught in English at the University of Waterloo in Canada. This program provides students with cooperative education experience.

The curriculum includes courses on data science, artificial intelligence, and cooperative education, helping students develop skills in programming, data modeling, and teamwork, with practical experience through co-op placements.

Graduates can pursue careers as Data Analysts, AI Researchers, Business Intelligence Analysts, Data Engineers, or IT Consultants, working in industries such as consulting, government, or telecommunications.