The doctoral program in business administration with a concentration in decision sciences is designed to prepare students for research careers. This area of specialization emphasizes the process of constructing and analyzing mathematical and statistical models of real-world managerial problems and the understanding of the role and uses of such models in the management of complex organizations. Problems are analyzed using tools from mathematical programming, game theory, probability and statistics. Research in decision sciences may focus on foundational issues, such as dealing with uncertainty, modeling complexity and risk preferences, as well as on novel applications in operations and project management.
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The PhD in business administration involves two years of formal courses established by each Department and approved by the doctoral committee. Students take a minimum of 45 credits during their program, including 24 credits in core courses, a 3-credit summer paper, and 18 credits in elective courses. Students should consult their faculty advisory group about the required courses and electives for which they should register.
Students should complete at least 39 credits within the first two years from matriculation. The remaining 6 credits should be completed during the third year.
Requirements for the decision sciences concentration
Course List Code | Title | Credits |
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DNSC 8397 | Advanced Special Topics (Methodology Course) | |
ECON 8301 | Microeconomic Theory I | |
or ECON 8375 | Econometrics I |
ECON 8376 | Econometrics II | |
STAT 6201 | Mathematical Statistics I | |
STAT 6202 | Mathematical Statistics II | |
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DNSC 8393 | Applied Stochastic Models for Business | |
DNSC 8394 | Stochastic Programming | |
DNSC 8397 | Advanced Special Topics (Foundations of Optimization) | |
DNSC 8397 | Advanced Special Topics (Foundations of Game and Decision Theory) | |
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DNSC 8328 | Special Topics in Decision Making (Bayesian Statistics) | |
DNSC 8392 | Computational Optimization | |
DNSC 8397 | Advanced Special Topics (Operations and Supply Chain Management) | |
DNSC 8397 | Advanced Special Topics (Machine Learning) | |
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*Policies for core courses
In general, all core courses should be doctoral courses, i.e., those at the 8000 level. All courses must be taken for letter grades. Required courses cannot be waived without substitution except in unusual circumstances as determined on a case-by-case basis. Examples of unusual circumstances include students holding a specialized master's or doctoral degree where equivalent core courses were taken in a particular area (such as statistics or mathematics). Students may petition the associate dean of research and doctoral programs to substitute up to 12 credits of required courses with alternative courses approved by the faculty advisory group.
Course List Code | Title | Credits |
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