Students in a research-based master’s or doctoral program will work with a faculty supervisor through their degree. Visit our Engineering Research and Supervisors page to find resources to help you learn more about finding the right supervisor for your graduate program and how to contact them.
Research Areas and Themes
Applied operations research at the Department of Management Science and Engineering provides quantitative tools to model complex decision making problems in manufacturing and service industries in modern global economy.
Our faculty are experts in optimization, stochastic processes, Markov decision processes, data analytics, and decisions analysis with focus areas in health care, supply chain management and logistics, revenue management and pricing, energy, and manufacturing.
The objective of information systems (IS) is to prepare future leaders in the design, application, and management of computer-based information systems.
Students master both traditional concepts and recent advances in techniques, theories, and applications of information systems. Students interested in the organizational aspects of IS can blend their coursework with classes in the applied operations research and management of technology fields. Students can learn about IS design by studying the interaction between humans and computers (HCI), data analytics, information retrieval, and text analytics. IS students can complement their studies with additional technical courses offered by computer science. The skills learned prepare the IS graduate for employment in large or small technology companies, in government or other organizations. Typical positions include those of systems analyst, data scientist, information systems manager, and data architect. Doctoral students are prepared for academic or research positions.
Faculty in the management of technology stream of the Department of Management Science and Engineering concentrate on organizational behaviour and decision-making in all areas of business planning, especially in regard to the organizational and socio-economic management of technology.
Our faculty members are experts in behavioural and experimental economics, decision-making under risk and uncertainty, risk management, cognition and communication in organizations, socio-technical systems, organizational effectiveness and strategy, network theory, innovation and intellectual property, entrepreneurship, and technology adoption.