Program Objectives and Outcomes

OR&E students will be well grounded in the mathematical, engineering, and modeling skills that are the basis for operations research, and they will be prepared to apply those skills to the efficient design, analysis, operation and control of complex systems.

Their OR&E academic program will include:

• One or more advanced courses on applications in: supply chain and manufacturing systems; data analysis; information engineering; financial engineering; or service systems.
• A collaborative systems design experience.
• Collaborative project experiences involving both written and oral presentations.
• Courses with significant experiential learning components.
• Experiences with identifying, accessing, evaluating, and interpreting information and data in support of assignments, projects, or research.
• Course experiences with large-scale datasets.

The consequent learning outcomes for OR&E students are:

• Proficiency with tools from optimization, probability, statistics, simulation, and engineering economic analysis, including fundamental applications of those tools in industry and the public sector in contexts involving uncertainty and scarce or expensive resources.
• Facility with mathematical and computational modeling of real decision-making problems, including the use of modeling tools and computational tools, as well as analytic skills to evaluate the problems.
• Facility with the design, implementation, and analysis of computational experiments.