Dual Ph.D. in Industrial Engineering and Operations Research

The Operations Research dual-title degree is offered as an option through graduate programs in eight colleges. The program enables students to attain and be identified with the tools, techniques, and methodology of operations research while maintaining a close association with industrial engineering. Operations research is the analysis—usually involving mathematical treatment—of a process, problem, or operation to determine its purpose and effectiveness and to gain maximum efficiency.

Admission Requirements

A student must first be admitted to the Industrial Engineering Ph.D. program

For the Ph.D. dual-title degree in Operations Research, prerequisites for acceptance to the program without deficiency include the following or their equivalent: MATH 401MATH 436CMPSC 101; and 3 credits of Probability and Statistics. These are in addition to those prescribed by the graduate major program. The application for admission to the dual doctoral degree must be submitted before the student takes the candidacy examination.

Degree Requirements

To qualify for a dual-title degree, students must satisfy the requirements of the Ph.D. in Industrial Engineering, in addition to the minimum requirements, or their equivalent, in the Operations Research program.

The doctoral committee for a Ph.D. dual-title degree student is recommended by the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering. The chair and at least two members of a doctoral committee must be members of the Operations Research faculty. Operations Research must be integrated into the student's candidacy examination. The doctoral committee for a student seeking a minor in Operations Research must have at least one member from the Operations Research faculty.

Stochastic/Statistical Methods - 9 credits

Stochastic Processes - minimum of 3 credits

Statistical Methods - minimum of 3 credits

Optimization - 9 credits

Linear Programming - minimum of 3 credits

Integer Programming

Mathematical Programming

Nonlinear Programming

Dynamic Programming

Computational Methods - 6 credits

Numerical Methods

Simulation Methods - minimum of 3 credits

Applications/Specializations - 12 credits

Includes courses in the above areas as well as courses in quality control, scheduling, inventory, queuing, decision analysis, game theory, logistics, expert systems, econometrics, forecasting, and others. Some graduate level courses in this group are: ABE 559CSE 565, CSE 560, CSE 555, CSE 563, CSE 564ECON 521EE 529, EE 581GEOG 425, GEOG 455, GEOG 481, GEOG 580, GEOG 581IE 402, IE 425, IE 454, IE 507, IE 509, IE 532, IE 554, IE 562, IE 566MATH 485, MATH 486MKTG 511, MKTG 555PNG 512, PNG 514STAT 510, STAT 540SCIS 505, SCIS 510, SCIS 520, SCIS 530.

Operations Research Colloquium

Students must take one credit of OR 590: Operations Research Colloquium, for each year the student takes to complete his/her doctoral degree. The maximum number of required credits of OR 590 for a dual Ph.D. degree is 4.

Note: A minimum of 18 credits must be in the 500 series, and particular courses may satisfy both the graduate major program requirements and those in the Operations Research program.

For additional information, please visit the Operations Research program website or contact M. Jeya Chandra, Chair of Operations Research, 814-863-2358.

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Home of the first established industrial engineering program in the world, the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering (IME) at Penn State has made a name for itself in the engineering industry through its storied tradition of unparalleled excellence and innovation in research, education, and outreach.

We are Innovators. We are Makers. We are Excellence in Engineering. We are Penn State IME.

The Harold and Inge Marcus Department of
Industrial and Manufacturing Engineering

310 Leonhard Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-7601

FAX: 814-863-4745