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About the Program

Male and two female students studying on laptop

This unique 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 program is offered as a one year full-time or two year part-time MRP option and two year full-time Thesis option.

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.

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

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.

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 Toronto Metropolitan University:

  • Faculty of Arts

  • Faculty of Engineering and Architectural Science

  • Faculty of Science

  • Ted Rogers School of Management

Toronto Metropolitan University’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 Toronto Metropolitan University’s cross-university BDI agenda to develop new tools and apply them to advance organizational performance across sectors.

The program engages with various industry and government partners from diverse domains.

To assist universities in recruiting top talent and deepening applicant pools, Vector has introduced the Vector Scholarships in Artificial Intelligence (external link)  (VSAI). These merit-based awards recognize top candidates pursuing studies in a recognized AI-related master’s program or an individualized study path that is demonstrably AI-focused.

For more information, please visit the Vector Institute website (external link) .