Management Science
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 MS PhD courses:
- Q771 – Stochastic Processes with Business Applications
- Q773 – Mathematical Programming: Theory and Algorithms
- Q780 – Mathematical Modelling in Management Science
- 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/Systems
- 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 Scheduling
- Q794 – Inventory Theory
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
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
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
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