Ph.D. in Industrial Engineering with Operations Research Focus

Course Requirements

NOTE: Course descriptions can be found in the Graduate Bulletin.

The Operations Research Focus Area Qualifying Exam should be taken after taking the three core courses listed and three additional 5XX-level graduate classroom courses (9 credits) with an average GPA of 3.33 in all six classes.

Core Group

All courses in this group must be taken.

  • IE 597: Advanced Linear Programming
  • IE 597: Advanced Stochastic Processes
  • IE 521: Nonlinear Programming

The additional 500-level required classroom courses can be taken in any subject area, however, students are strongly encouraged to take their additional courses in the operations research areas from Domains A and B (listed below), with at least one course from each domain. In addition, students are highly encouraged to take STAT 514 (Theory of Statistics II).

  • Domain A: Mathematical Programming
    IE 510: Integer Programming
    IE 512: Graphs and Networks
    IE 519: Dynamic Programming
    IE 520: Multiple Criteria Optimization
    IE 588: Nonlinear Networks and the Price of Anarchy
    IE 589: Dynamic Optimization and Differential Games
    IE 597X: Convex Optimization
    IE 597X: Robust Optimization
    IE 597X: Stochastic Optimization
  • Domain B: Stochastic Processes/Statistical Methods
    IE 509: Operations Research: Waiting Line Models
    IE 511: Experimental Design in Engineering
    IE 522: Discrete Event Systems Simulation
    IE 530: Introduction to Financial Engineering
    IE 555: Statistical Process Monitoring and Analysis
    IE 583: Response Surface Methodology and Optimization
    IE 584: Time Series Control and Process Adjustment
    IE 597X: Stochastic Optimization
    EE 560: Probability, Random Variables, and Stochastic Processes
    STAT 513: Theory of Statistics I
    STAT/MATH 517: Probability Theory I
    STAT/MATH 518: Probability Theory II
    STAT/MATH 519: Topics in Stochastic Processes
    STAT 551: Linear Models
    STAT/MATH 557: Data Mining I
    STAT 561: Statistical Inference I

Additional Information



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