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Management Practice

All Programs

LocationEmail AddressProgram Website
York Learning Space at IBM Canada Headquartersmscinfo@yorku.camscmp.gradstudies.yorku.ca

The Master of Science in Management Practice (MScMP) is designed to provide future leaders with an understanding of management practices that inform evidence-based decision making through applied research and data analysis. The graduate program serves full-time students as well as professionals who desire to obtain a graduate degree in management while continuing full-time employment.

In particular, the graduate program trains students to:

  • understand the importance of evidence-based decision-making for improving an organization’s performance and understand the limitations of particular types of data and analytical tools;
  • be familiar with key methods of qualitative and quantitative research, data collection and analysis needed to provide evidence to decision-makers;
  • be familiar with emerging trends and tools in the cognitive technology of data analytics;
  • be able to apply relevant theories, methodologies, and critical thinking skills to identify and solve organizational/management problems and issues.
  • be able to identify sources of information and data best suited to inform managerial decisions in selected specialization while understanding ethical considerations in using personal data for research; and,
  • be able to work efficiently in groups and teams and to effectively communicate analyses, outcomes and conclusions to a range of audiences.

The graduate program offers five specializations:

  • Applied Accounting Research
  • Applied Marketing Research
  • Entrepreneurship and Innovation
  • Managing in Professional Contexts
  • Supply Chain Management

The graduate program’s courses combine theoretical knowledge with practical application. The program is highly experiential, culminating with a program milestone where students employ their knowledge and skills to identify organizational problems and suggest solutions to them based on appropriate analysis of available data.