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Management Science

The doctoral program in Management Science is designed for people who plan to pursue an academic career in various areas of Data Analytics, Management Science, or Operations Research. The objective of the PhD program is to train our students to become Management Science scholars. To that extent the primary focus of the program is to prepare students to conduct rigorous and relevant research.

Management Science is concerned with the development and application of analytical models to all fields of management and business decision making. Students will acquire a strong understanding of the theoretical models and their application in modern industries and will develop an awareness of where competence in Management Science is essential for corporate survival and growth.

In order to prepare the students, the first two years of the program is predominantly centred on course requirements covering the fundamentals of Management Science, including decision theory, optimization, game theory, statistics, probability, stochastic processes, and simulation. Students will gain exposure to these subjects by taking graduate level courses from the Management Science area group as well as from other departments including the Economics Department, Department of Statistical and Actuarial Sciences, Department of Applied Mathematics, Department of Computer Science, and the various Engineering Departments. In addition, the student needs to fulfill the Ivey PhD Program required courses and complete a first year research practicum. The special field seminar courses in Management Science explore the theoretical foundations of the subject, its current practice, and the leading edge of research.

Areas of Research Focus

PhD Student Opportunities

The Management Science group welcomes applications from qualified candidates that are interested in conducting research into themes related to their research interests.

PhD Graduates

The doctoral program in Management Science is designed for those interested in pursuing academic careers in management science at top business schools.


Dr. Salar Ghamat (2017 PhD)

Assistant Professor, Wilfrid Laurier University

PhD Dissertation:

Three Essays on Incentive Problems of Parties with Potential Conflict of Interest

I study the impact of different incentives on strategic decisions of parties that have the option of cooperating with each other. Incentive problems are well studied in various contexts, such as supply chain management and healthcare operations management. However, in the fast-changing business environment, there is a need to study and understand the new and emerging strategic behaviors of firms to adopt better incentive mechanisms and reach desired outcomes. This dissertation consists of three essays that examine the strategic behavior of parties under different incentive schemes... Read more about this thesis

Faculty Advisor(s):

Dr. Foad Hassanmirzaei (2016 PhD)

Assistant Professor, University of North Texas

PhD Dissertation:

Three Essays on Managing Customer-Based Strategies: A Pricing and Revenue Management Approach

Many firms and organizations with already-optimized business functions are under market pressure to protect their narrow profit margins. Their need for supplemental and reliable revenues calls for performance optimization beyond the core business functions. Motivated by applications from online social media and the airline industry, in my dissertation, I focus on the revenue management and pricing decisions of customer-based plans and programs. More formally, the research question addressed in this study is: How can firms effectively use customer-based pricing strategies to boost revenues?... Read more about this thesis

Faculty Advisor(s):

Discipline Coordinator

Joe Naoum-Sawaya

Joe Naoum-Sawaya is an Associate Professor of Management Science at the Ivey Business School. He holds a Ph.D. in Management Science/Operations Research from the University of Waterloo. Prior to joining Ivey, Joe was a research scientist at IBM Research. Joe’s research focus is on machine learning and optimization with applications in smarter cities (energy, mobility, water, and telecommunication). His work has appeared in INFORMS Journal on Computing, European Journal of Operational Research, Transportation Research, and Naval Research Logistics among others. He co-edited the book volume "Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives". Joe is currently serving as Associate Editor of the Information Systems and Operational Research journal and as Associate Editor of Frontiers in Sustainable Cities, Urban Transportation Systems and Mobility.

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