PhD Programs

PhD Students having a discussion

Operations and Business Analytics Specialization

The PhD in Business with a specialization in Operations and Business Analytics prepares students for highly rewarding research careers in academic institutions. It is hosted under the Decision Sciences Department which encompasses four academic fields: Production/Operations Management (POM), Management Science/Operations Research (MS/OR), Business Analytics (BA) and Applied Probability and Statistics (STAT).

The faculty members within the Decision Sciences Department are strongly committed to academic excellence and are world-class experts in their respective fields. Our faculty publish in top-tier academic journals such as Management Science, Operations Research, Manufacturing and Service Operations, Management Information Systems Quarterly, Marketing Science, among others. Topics include supply chain decision models, production, planning and scheduling, inventory management, mathematical programming, financial modeling, quality function deployment, data envelope analysis, Bayesian statistics, statistical quality control, reliability of statistical software, data mining, and quantitative marketing. Students will jointly work with faculty to develop and sharpen their research skills in order to contribute to the various fields.

Students in the OBA specialization can select from two tracks: Operations or Business Analytics. Students in the Operations track will conduct research in operations management and supply chain management, using either theoretical modeling or empirical approaches. Students in the Business Analytics track will focus on statistics, operations research, and/or data mining applications in a single field such as operations, marketing, economics or finance.

Below is a list of research work conducted by students:
Operations:

  • A supplier selection model with quality-driven demand and capacitated suppliers
  • Buyer-supplier currency exchange rate flexibility contracts in global supply chains
  • Consumer-driven investment decisions in multiple sales channels: A downstream supply chain analysis

Business Analytics:

  • Will open access increase journal citation scores? An empirical investigation over multiple disciplines
  • Investors’ opinion divergence and stock return volatility: evidence from user generated content
  • Time-to-recall decisions: marketing and operations perspectives

Both tracks are required to take the following eight courses:

  • Econ 902 Mathematical Economics
  • Econ 910 Advanced Microeconomics I
  • Econ 911 Advanced Microeconomics II
  • STAT 931 Statistics for Economics
  • STAT 924 Multivariate Analysis I
  • OPR 922 OR Method I
  • OPR 924 OR Method II
  • OPR 992 Applied Math Programming

In addition, the Operations track should take the following courses:

  • ECON 980 Game Theory
  • POM 900 OM Seminar
  • POM 930 Scheduling theory
  • POM 922 Inventory
  • POM 990 Service Operations
  • POM 925 Supply Chain Seminar

The Business Analytics track should take the following courses:
* CS 570 Programming Foundations
* CS 571 Advanced Programming Techniques
* CS 520 Computer Science Foundations
* And several elective courses

There is sufficient flexibility in the program to allow individuals to customize their doctoral coursework to their research agenda. Students are encouraged to discuss these plans with their dissertation committee and the PhD coordinator so that their training can have the maximal impact on their research output.

Research Conversation with
Yang Li

PhD, Operations and Business Analytics

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