26 Full-time Master's in Data Science & Big Data in Canada

The Digital Transformation and Innovation - Applied Data Science programme at the University of Ottawa is a Master level course delivered in a public study mode. This multidisciplinary degree typically spans two years of full-time study, focusing on the practical application of data analytics within evolving digital landscapes.

The Master of Data Science and Artificial Intelligence (MDSAI) at the University of Waterloo is a full-time programme designed to last 16 months. This degree combines theoretical knowledge with practical experience, preparing students for the evolving demands of the industry through a co-op format that facilitates real-world learning.

Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSAAI, and more.

Data scientists and data analytics professionals focus on the collection, preprocessing, exploration, use and visualization of data, be it from sensors, transactional data, or other sources. Students will be exposed to the various methodologies that constitute these areas of DSAAI, and more.

The Master of Data Science (M.Sc.) programme at the University of British Columbia is designed to prepare students for a successful career in data science. This intensive programme spans 10 months and is available at both the Vancouver and Okanagan campuses, providing a comprehensive education in this rapidly evolving field.

The Computer Science programme at the University of British Columbia is a research-intensive M.Sc. degree delivered in a public study mode. Over 24 months, students engage in advanced coursework and a thesis or project, gaining theoretical and practical expertise to solve complex digital challenges in a close-knit setting.