There are 11 master's Data Science programmes for international students across 6 universities in Canada. Browse the full list below, compare entry requirements, and explore scholarships to fund your studies.
The University of Waterloo offers graduate programs in Data Science that integrate Statistics, Computer Science, and Optimization. These programs are designed to meet the high demand for professionals with interdisciplinary knowledge in this rapidly growing field. Students can choose between a course-based master's program with a co-op option or a research-based master's. The university is recognized for its innovation and strong industry connections, preparing graduates for success across various sectors.

The UBC Master of Business Analytics (MBAN) is a 12-month full-time program designed to equip you with a comprehensive understanding of the analytics spectrum. You will gain skills in data management, data analytics, and decision analytics, enabling you to make strategic, data-driven business recommendations. This program is ideal for those looking to meet the growing demand for analytics expertise in global companies.
The Master of Data Analytics (MDA) program is a one-year professional master's degree designed to equip you with the essential technical skills for data analytics. This program focuses on both the practical application of these skills in a specific field and developing a generalist approach for a career in data analytics. The curriculum includes an experiential learning component during the summer term, ensuring you are well-prepared for immediate transition into a data analytics role in either the public or private sector upon graduation.
The Master of Data Science program equips students with the knowledge and skills to extract patterns, knowledge, and insights from data. This interdisciplinary program focuses on developing and applying methods to understand, predict, and improve outcomes in various fields, including business, science, medicine, and public safety. The program requires students to complete a minimum of four courses and a research thesis, which must involve original work in data science. Students will gain expertise in areas such as machine learning, statistical learning, optimization, computer systems, databases, and distributed computing. The program emphasizes practical application and research, culminating in a thesis defense where students present their original research to a committee. This program is designed for students seeking advanced training in the rapidly growing field of data science.

This Master of Science (M.Sc.) program in Business Intelligence focuses on equipping students with advanced data analysis skills, techniques, and tools to drive better decision-making, particularly in marketing contexts. You will learn how to master data analysis, including statistical methods, machine learning, database design and management, and e-commerce strategies. The program emphasizes understanding data warehousing and data mining techniques, and proficiency in widely used software like R, SAS, and Python. Graduates will develop the ability to guide organizational decisions by making informed recommendations.

This Master of Science program equips you with advanced expertise in data science and business analytics, preparing you to tackle management challenges in the digital and artificial intelligence era. You will develop strong skills in modeling, optimization, statistics, and machine learning, enabling you to make data-driven decisions, innovate, and enhance business competitiveness. The program focuses on developing practical skills to address real-world management issues. You will learn to build complex data and optimization models, utilize programming languages and software for analytics, and optimize business processes. Students can choose between a thesis track for research or a supervised project track for practical work experience. The program also offers opportunities for international students to integrate into the Quebec and Canadian job markets through French language courses and the Experience Quebec program, particularly for those in the supervised project stream.

The Master of Spatial Analysis (MSA) is a unique graduate program designed to equip students with advanced skills in Geographic Information Systems (GIS) and geographical thinking. Through project-based courses, a practicum placement, and a major research paper or thesis, students learn to apply spatial analysis techniques to support decision-making in government and industry. Graduates are prepared for roles in diverse fields such as business, environmental consulting, crime analysis, social policy, and public health. The program fosters the ability to analyze complex spatial data to address real-world challenges and contribute to economic, social, and environmental well-being.


This graduate-level microprogram provides foundational knowledge in statistical modeling, optimization, and big data analysis. It aims to enhance your decision-making capabilities by equipping you with advanced methods in machine learning and deep learning, and the ability to solve real-world problems using programming and computational resources. You will learn the principles of optimizing business processes and gain skills directly applicable to fields like artificial intelligence, finance, marketing, and more. This program can serve as a stepping stone to further graduate studies.

This Master of Science (MSc) program equips you with advanced expertise in data science and business analytics, preparing you to tackle the challenges of the digital and artificial intelligence era. You will develop skills to make better decisions, drive innovation, and enhance competitiveness by mastering data analysis and modeling techniques. The program focuses on developing sophisticated models and methods in optimization, statistics, and machine learning, enabling you to solve complex management decision-making problems using appropriate programming languages and software.
11 across 6 universities, listed on this page.
Yes — these programmes admit international students; check each programme's entry requirements and language of instruction.