Skip to Main Content

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

Program Requirements

Students have program requirements, put into place by the PhD office, and discipline requirements, which are governed by the student’s respective area group. On a case by case basis, some students may be able to waive out of particular required courses or substitute others. Such a course of action must be approved by the PhD director

All PhD students must complete the following requirements.

Discipline Requirements

All to be completed before the comprehensive exam:

  • Bus 9802 Fundamentals of Management Science Research
  • Bus 9812 Management Science I
  • Bus 9872 Management Science II
  • Bus 9882  Management Science III
  • Bus 9039 Analytics Best Practices (MSc)
  • Bus 9043 Big Data Analytics (MSc)
  • Bus 9044 Simulation and Risk Analysis (MSc)
  • Bus 9057 Prescriptive Analytics (MSc)
  • Econ 9601 Microeconomics I
  • Econ 9602 Microeconomics II
  • Econ 9607 Economic Mathematics I (recommended)

*If further development is identified in any area, students may be required to take additional courses as requested by the student’s supervisor or the PhD coordinator. PhD students do not formally name their supervisor until they have passed their comprehensive exams. A doctoral student becomes a doctoral candidate only upon passing comps.


Discipline Coordinator

Joe Naoum-Sawaya

Joe Naoum-Sawaya is an Assistant 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.

Read full profile »