Ph.D. in Industrial and Systems Engineering
The Industrial and Systems Engineering (ISE) graduate program is global in scope for students interested in pursuing research at the cutting edge of the discipline.
ISE research areas include mathematical optimization, data science and machine learning, energy and service systems, and high-performance computing.
The main areas of concentration for Ph.D. study include:
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Optimization: Nonlinear optimization; Convex and conic optimization; Stochastic and robust optimization; Discrete optimization and integer programming; Numerical method of optimization and software; Financial optimization
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Applied Probability and Statistics
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Stochastic processes
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Queueing networks
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Simulation
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Applied Operations Research
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Supply chain
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Smart grid and applications in energy
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Scheduling
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Healthcare systems
Click here for the Ph.D. Program Requirements.
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The Ph.D. program requires a minimum of 48 credit hours if entering with a master’s degree.
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If entering with a bachelor’s degree, a student must complete at least 72 credit hours.
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The usual length of time is about four to six years. A dissertation is required for the Ph.D. program.
Yes; you will need to complete 72 credits of course work.
Sponsors of Research Projects:
Research in the ISE department is sponsored by NSF, Department of Energy, U.S. Department of Labor, the Commonwealth of Pennsylvania, PITA, IBM, Johnson & Johnson, SAS, Lucent Technologies, and more.
