The curriculum for students specializing in Computational Operations Research is designed to emphasize:
- applications to real-world problems
- data analytics techniques and applications
- computational experiences with both coding and specialized software
- mathematical modeling and formulations
- optimization algorithms and theory
- simulation techniques and theory
Students are expected to perform all aspects of project work from problem formulation to communication of project results. This approach has much in common with professional settings: creativity and a variety of techniques are applied to a problem that may not be clearly stated. Our goal is to provide an experience that is more than a series of courses with problems that have pre-determined outcomes.
The curriculum strives to be flexible after core competencies in the listed areas are met. Students can focus their studies in areas such as
- Applied Operations Research
- Data Science
- Business Analytics
- Data Analytics
- Supply Chain Management
Review the sample curricula for ideas on how the degree may be focused. Detailed requirements are found in the Graduate Catalog, all plans of study are subject to the approval of the graduate director.
Qualified students can normally fulfill the M.S. requirements in three semesters although four semesters is suggested.
Properly prepared W&M undergraduates can earn the M.S. with one year of intensive study after completing their bachelor’s degree.
Students pursuing a concurrent Masters of Public Policy degree must also satisfy the degree requirements specified by the Public Policy Program.
Students interested in the requirements for a doctorate should contact [[math|rrkinc, Rex Kincaid]].