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
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.
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.
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.