Operations and Business Analytics (PhD)
The Lundquist College of Business Doctoral Program in Operations Management prepares students seeking academic and research careers.
Operations Management concerns how organizations should optimize business processes (e.g., production, distribution) and policies (e.g., staffing, pricing) both internally and within the broader supply chain.
Researchers in the operations management area address these complex decisions using rigorous research methods that require a solid foundation in model building, theory development, and data analysis. These foundational skills reflect the strength of the Lundquist College's Department of Operations and Business Analytics, whose faculty work closely with students within the operations management doctoral program.
In addition to its faculty, the Department of Operations and Business Analytics spans the areas of information systems and statistics, allowing doctoral students to benefit from coursework and research opportunities in two areas complementary to the operations management area. Due to the quantitative orientation of this PhD option, students entering the program should have interests that lie at the intersection of applied mathematics and business research.
Program Learning Outcomes
Upon successful completion of this program, students will be able to:
- Acquire advanced knowledge relevant to their areas of specialization.
- Develop advanced research skills for their areas of specialization.
- Be able to assume teaching responsibilities at high-quality colleges and universities.
- Successfully graduate and place at high-quality, research-focused colleges and universities.
PhD in Operations and Business Analytics
| Code | Title | Credits |
|---|---|---|
| Major Area Of Specialization | ||
| Students are required to take ten (10) courses in specialization area, at least three of which must be taken after admission to the University of Oregon, Lundquist College of Business doctoral program. Specialization courses can be in the Functional area or in the Research Methods area. Examples include: | ||
| Seminar: [Topic] (Advanced Optimization) | ||
| Seminar: [Topic] (Research Methods in Operations Management) | ||
| Seminar: [Topic] (Operations Research Modeling) | ||
| Seminar: [Topic] (Inventory Models and Supply Chain) | ||
| Experimental Course: [Topic] (Data Analytics) | ||
| Data Driven Predictive Modeling | ||
| Project and Operations Management Models | ||
| Operations Management | ||
| Reading and Conference: [Topic] (at most 5 can be counted toward degree) | ||
| Supporting Courses | ||
| Students are required to take at least three (3) courses in the Accounting, Finance, Marketing, Statistics, Microeconomics, and Linear Algebra. Examples include: | ||
| Seminar: [Topic] (Academic Life) | ||
| Managerial Economics | ||
| Theories of Industrial Organization | ||
| Health Economics | ||
| Behavioral and Experimental Economics | ||
Courses in Mathematical Statistics | ||
| Quantitative Methods | ||
| Students are required to take at least six (6) courses in topics including, but not limited to probability & statistics, stochastic processes, regression analysis, and optimization. Examples include: | ||
| Seminar: [Topic] (Core Econometrics (three courses)) | ||
| Seminar: [Topic] (Core Microeconomic (three courses)) | ||
| Advanced Microeconomic Theory | ||
| Games and Decisions | ||
| Stochastic Processes | ||
| Dissertation | ||
| Dissertation | ||
| Total Credits 1 | 72 | |
- 1
Students entering with no prior graduate work must take additional credits to reach the University's 81 credit minimum.
Please visit the Operations and Business Analytics PhD Program website page for more information.