University of Waterloo

Overview

The Master of Data Science and Artificial Intelligence (MDSAI) program at the University of Waterloo is a comprehensive full-time course designed to equip students with advanced skills in analytics and artificial intelligence. This program combines rigorous academic training with practical industry experience through co-op work terms, allowing students to apply their knowledge in real-world settings.

What you'll study

The MDSAI program encompasses a blend of theoretical coursework and hands-on learning opportunities. The curriculum typically includes core courses that cover essential topics in data science and AI, culminating in a capstone project that showcases your ability to solve complex problems.

• Core graduate coursework includes:
• Introduction to Data Science
• Machine Learning Techniques
• Data Mining and Visualization
• Statistical Methods for Data Analysis
• Big Data Technologies
• Artificial Intelligence Fundamentals
• Ethics in Data Science
• Capstone project where you apply your skills to a significant applied problem, demonstrating your proficiency in data understanding, modeling, analysis, and result communication.
• Co-op work terms provide structured industry experience integrated with your academic journey.

Note: Course sequencing may vary by cohort and academic standing. Please refer to the official University of Waterloo program page for the latest information.

Entry requirements

Applicants are expected to hold an honours bachelor’s degree (or equivalent) in a relevant discipline such as data science, computer science, statistics, mathematics, or a closely related field, with a minimum overall average typically required. Additionally, candidates should possess senior-level experience in at least one of the following areas: computer science or statistics.

Career prospects

Graduates of the MDSAI program are well-prepared for a variety of career paths in the rapidly evolving field of data science and artificial intelligence. With their strong analytical skills and practical experience, alumni can pursue roles in data analysis, machine learning engineering, AI development, and more, contributing to industries that leverage data-driven decision-making.