PhD Programs

Decision Sciences Specialization

The Decision Sciences Department encompasses three academic fields of knowledge: Production/Operations Management (POM), Management Science/Operations Research (MS/OR) and Applied Probability and Statistics (STAT). The PhD in Business with a specialization in Decision Sciences prepares students for highly rewarding careers in academic institutions, business, and government. Although most students tend to focus on the functional area of POM as their primary field of competence, with substantive emphases on MS/OR and STAT as tools for performing rigorous academic research, there is sufficient flexibility in the program to allow individuals to customize their doctoral coursework, depending upon their particular needs and interests.

The faculty members within the Decision Sciences Department are strongly committed to academic excellence and are known, nationally and internationally, as experts in their respective fields. They are actively involved in high quality scholarly research in several diverse areas such as supply chain decision models, technology planning and implementation, production planning and scheduling, mathematical programming, financial modeling, quality function deployment, Bayesian statistics, statistical quality control, reliability of statistical software, etc. Students working closely with the faculty develop and sharpen their own research skills and are expected to make significant future contributions to their respective areas of knowledge.

Although it is recommended that Decision Sciences doctoral students take 11 courses from the following list, in addition to the PhD core courses, one may substitute courses (with adviser approval) from other departments within the college or university to suit specific individual research needs and interests:

  • ECON 910: Advanced Microeconomics I
  • ECON 940: Econometrics I
  • ECON 980: Game Theory
  • STAT 924: Multivariate Analysis
  • OPR 922: Operations Research Methods I
  • OPR 924: Operations Research Methods II
  • OPR 926: Operations Research Models in Finance
  • OPR 990: Systems Simulation
  • OPR 992: Applied Mathematical Programming
  • POM 900: Decision Processes in Operations Management
  • POM 922: Inventory Models
  • POM 925: Supply Chain Decision Models
  • POM 930: Scheduling Theory
  • STAT 932: Stochastic Processes
  • STAT 930: Experimental Design

Research Conversation with
Yang Li

PhD Candidate, Decision Sciences and MIS

How can investors identify sentiments embedded in social media, specifically user-generated content, that help forecast stock performance?