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Management Science

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About Management Science

The DeGroote PhD in Management Science provides you with opportunities to study the development and application of quantitative modelling, and create systematic approaches to solve management problems. These techniques are used in operations management, logistics, and supply chain management applications.

This specialization emphasizes research and is designed to prepare highly motivated and capable individuals to make significant advances in management science knowledge.

Successful applicants typically have a master’s degree in business administration, mathematics, engineering, science or computer science.

Required Courses

  • B790 – Seminar on Management Theory

Five Operations Management PhD courses:

  • Q771 – Stochastic Processes with Business Applications
  • Q773 – Mathematical Programming: Theory and Algorithms
  • Q780 – Management Science Research Issues I
  • Q781 – Management Science Research Issues II
  • Q790 – Advanced Operations Management I

Four PhD courses chosen from:

  • Q772 – Networks and Graphs in Operations Research
  • Q774 – Combinatorial Optimization: Complexity and Heuristics
  • Q775 – Optimization and Machine Learning with Big Data
  • Q778 – Selected Topics in Management Science
  • Q782 – Dynamic Programming and Optimal Control
  • Q783 – Game Theory and Decision Analysis
  • Q784 – Supply Chain Design and Coordination
  • Q785 – Queuing Theory and its Applications
  • Q786 – Network Design Issues in Freight Transportation
  • Q787 – Optimization Under Uncertainty
  • Q791 – Advanced Operations Management II
  • Q793 – Sequencing and SchedulingQ794 – Inventory Theory

 

Headshot of Nooshin Salari, smiling.

Dr. Nooshin Salari’s research interests include data-driven decision-making with applications in supply chain management and large-scale optimization problems using the theory and application of Markov decision processes and approximate dynamic programming. Her research has been published in leading journals such as Operations Research, Manufacturing & Service Operations Management, Annals of Operations Research, Operations Research Letters, International Journal of Production Economics, and Naval Research Logistics, among others.

Nooshin Salari

Assistant Professor, Management Science

Headshot of Lingling Shi, smiling.

Dr. Lingling Shi’s recent research work focuses on sustainable operations, green technology development, and innovative business models. Prior to academic work, she cofounded a startup electric vehicle technology company, where she fostered research interests in Operations Management to address climate change and sustainable development problems.

Lingling Shi

Assistant Professor, Management Science

Headshot of Berk Gorgulu, smiling.

Dr. Berk Gorgulu’s research focuses on constructing data-driven, realistic models of healthcare operations and developing predictive and prescriptive analytics to support decision-making under uncertainty. His research methodologies include stochastic modeling and optimization, queueing theory, interpretable machine learning, and Markov decision processes. From a practical point of view, he has been collaborating with practitioners from different healthcare organizations to identify problems with real-world impact and develop implementable solutions.

Berk Gorgulu

Assistant Professor, Management Science

Name

Position

Academic Area

Last Name

Fields of study

Accounting

Finance

Health Management

Management of Organizational Behaviour and Human Resources (MOBHR)

Information Systems

Marketing

Management Science

Strategic Management