• Concepts, models and advanced methods in optimization, modeling, statistics and machine learning as applied to management
  • Management decision-making skills: building complex data or optimization models, analytics and problem solving using programming languages and appropriate software
  • Principles for optimizing business processes
  • Students can choose the supervised project track to gain real work experience, or explore a specific area of interest in the research-oriented thesis track
  • Professors renowned in Canada and abroad, in both the academic and business communities