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Ph.D. Program

The Ph.D. is a research degree and in this regard, doctoral students in the Stewart School can select from a host of academic concentrations. Moreover, Ph.D. students have the opportunity to pursue work at virtually any of the points across the applied/theoretical spectrum. Indeed, many of our Ph.D. students are motivated by the challenge of tackling important, real-world problems existing in myriad settings in business and industry. Others are simply more interested in fundamental work that extends the boundaries of what is known within the various contexts related to the mathematics of our problem-solving methodologies. At both of these extremes and at many points in between, Stewart School Ph.D. students can expect to find a rich set of educational and research opportunities as well as a supportive faculty of the first rank whose specialty area(s) are consistent with these aims.

An admitted doctoral student in the Stewart School can pursue one of five formal Ph.D. options. These options are identified below including specific details regarding the explicit programs of study for each.

Ph.D. in Industrial Engineering

Ph.D. in Supply Chain Engineering Specialization in Supply Chain Engineering

Ph.D. in Statistics Specialization in Statistics

Ph.D. in Economic Decision Analysis (EDA) Specialization in Economic Decision Analysis (EDA)

Ph.D. in Specialization in Systems Informatics and Control Specialization in System Informatics and Control

 

Ph.D. in Operations Research

Ph.D. in Operations Research Ph.D. in Operations Research

 

Ph.D. in Algorithms, Combinatorics, & Optimization (ACO)

Ph.D. in Algorithms, Combinatorics, & Optimization (ACO) Ph.D. in Algorithms, Combinatorics, & Optimization (ACO)

 

Ph.D. in Computational Science & Engineering

Ph.D. in Computational Science & Engineering Ph.D. in Computational Science & Engineering

 

Ph.D. in Bioinformatics

Ph.D. in Bioinformatics Ph.D. in Bioinformatics