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About the Program

Male and two female students studying on laptop

This unique one-year Master of Science (MSc) degree program enables students to develop interdisciplinary skills, and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can go on to pursue careers in industry, government or research.

The MSc in Data Science and Analytics is delivered in both lecture-based and hands-on lab learning environments where students can develop and apply their skills to complex, real-world datasets and data science and analytics problems.

Program mission

This societally relevant program aims to promote business growth, economic development and employment generation.

Fields of study

Core technical skills such as math, statistics, operations research, programming and domain knowledge are the core competencies that are in greatest demand in the marketplace. This program is designed to meet those demands.

Data science is an interdisciplinary field that combines expertise from different technical and expert domains. To reflect the interdisciplinary nature of this field, the program has been developed by the following faculties at Ryerson:

  • Faculty of Arts

  • Faculty of Communication & Design

  • Faculty of Engineering and Architectural Science

  • Faculty of Science

  • Ted Rogers School of Management
     

Program objectives

Students will:

  • Learn how data science and analytics can help to improve decisions throughout an organization’s value chain.

  • Understand how recommendations lead to tangible actions through prescriptive analytics techniques.

  • Gain a good understanding of methods used in building such data-driven models.

  • Acquire hands-on experience with analytics tools that are widely used in practice.
     

Big Data Initiative

Ryerson’s Big Data Initiative (BDI) spans many academic units and research areas. The Data Science Laboratory, RC4 High Performance Computing Facility, and Privacy and Big Data Institute are part of Ryerson’s cross-university BDI agenda to develop new tools and apply them to advance organizational performance across sectors.
 

Industry partners

The program will engage industry partners such as IBM, St. Michael’s Hospital, the Hospital for Sick Children, Microsoft Research, the Globe and Mail, and the Toronto Stock Exchange to access extensive data on health care, software engineering, social media, services and finance.