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
- Healthcare Management Science (sample paper), Health (sample paper) and Pharma Economics (sample paper)
- Supply Chain Management (sample paper), Marketing Operations (sample paper), Blockchain Business Applications (sample paper)
- Revenue Management, Pricing Optimization (sample paper)
- Transportation Networks (sample paper), Energy Networks (sample paper), Smart Cities and Infrastructure (sample paper)
- Risk Management, Bayesian Statistics, Data Driven Models (sample paper)
- Optimization Methods (sample paper), Machine Learning (sample paper), Scheduling (sample paper)
- Healthcare Operations (sample paper), Medical Decision Making (sample paper), Stochastic Scheduling (sample paper), Analytics/OR Applications (sample paper, sample paper), Sports Analytics (sample paper).
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.
- Attend “stats boot camp” (end of August at start of Year 1).
- Pass Bus 9702 Multivariate Analysis in Year 1.
- Pass Bus 9704 Research Methods in Year 1.
- Pass Bus 9712 Special Topics in Statistics before end of Year 2.
*The content of this course varies by year. Students are encouraged to take the course twice
- Earn 80% or more on Bus 9723 Summer Research Paper before start of Year 2 - Direct Entry Admissions only (i.e. admitted with only an undergraduate degree)
- Complete discipline requirements (listed in the "Discipline Requirements" section below) during Year 1 and 2
- Pass at least two PhD-level courses outside of Ivey before the end of Year 2 or before taking comprehensive exams, whichever is first. It is strongly recommended that at least one of these courses is an econometrics course.
- Complete discipline requirements (listed in the "Discipline Requirements" section below) before the end of Year 2
- Shadow an Ivey professor for an entire undergraduate or MBA course. The associated professor must agree to make this a learning experience for the student (e.g. have conversations about pedagogy, be available for questions about curriculum etc.) and to provide written confirmation to the PhD office of attendance; OR
- Complete at least 20 hours of courses, workshops etc. at Western’s Teaching Centre.
*In consultation with the student, the respective PhD coordinator shall determine which option better suits the student's needs.
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.
This exam will be completed within 22 months of entering the program (normally written between June 1 and July 15 of Year 2). If the student fails this exam, he or she has up to one year to retake the exam. A second failure will result in being withdrawn from the program.
A student will chose a supervisor within one month of passing the comprehensive exam and will communicate the choice in writing to both the PhD coordinator and the PhD office, copying the supervisor.
Between passing comps and sitting the Thesis Proposal Exam (below), the student must form a Thesis Supervisory Committee (commonly referred to as the Proposal Committee). This committee consists of a supervisor and at least two additional faculty members who may or may not be in the student's program. Each must have SGPS membership and a majority of this committee must be composed of faculty who have doctoral-level membership with SGPS. The members of this committee must be confirmed by Dec. 31 of Year 3 (or no more than 6 months from passing comps, whichever is first). This committee “assists in the development of the candidate's research plan and thesis proposal, provides advice and criticism on the planning and writing of the thesis…” (more)
This exam is sometimes referred to as the proposal defense. Students must pass this exam within by August 31 of year 3.