*Note: The Management Science PhD Specialization will not be admitting students for Fall 2017.
Management Science is concerned with the application of sophisticated quantitative and analytical methods in decision making, as well as in the design and control of complex systems. The field is by nature amenable to cross-disciplinary work, and methodological research in this discipline is often motivated by applications in other areas of business, engineering and science.
The goal of the PhD program is to prepare students for a career of original research. In consequence, the most important requirement is the completion of doctoral thesis under close faculty supervision. Advanced coursework and seminars provide the student with the rigorous methodological foundation and knowledge of the field necessary to conduct novel creative research.
Starting from their first year in the program, students will do collaborative research with faculty whose expertise matches their interest. This will provide them with the hands-on training necessary to conduct independent research in the thesis stage of their doctoral program and in their subsequent career as scholars.
Incoming students should have at a minimum the following background, at the advanced undergraduate or graduate level: Linear Algebra, Calculus (2 semesters), Probability and Statistics (2 semesters), and Computer Programming.
A typical student would take the following core coursework in Year 1: Linear Programming and Extensions, Optimization*, Stochastic Models, Statistical Methods I and II*, Dynamic Optimization* and Advanced Microeconomic Theory*.
( * = business quantitative track common core.)