Students in the Ph.D. with a major in Industrial Engineering program choose a single track from: General Industrial Engineering, Supply Chain Engineering, Statistics, Economic Decision Analysis, and System Informatics & Control.
Each track has specific course requirements. Students are expected to complete the course programs described below prior to candidacy, and many of the courses are recommended to be completed prior to the comprehensive examination. Students seeking to waive a program course requirement must receive permission from the Associate Chair for Graduate Studies. It is not our intent to have students repeat coursework that they may have already mastered during prior graduate degree programs, so please ask for appropriate waivers.
General Industrial Engineering
| Code | Title | Credit Hours |
|---|---|---|
| Methodology Core (4 courses) | ||
| Group 1 (at least 2 courses) | ||
| ISYE 6661 | Linear Optimization | 3 |
| ISYE 6662 | Discrete Optimization | 3 |
| ISYE 6761 | Stochastic Processes I | 3 |
| ISYE 6832 | Simulation Theory and Methods | 3 |
| ISYE 6412 | Theoretical Statistics | 3 |
| ISYE 6414 | Statistical Modeling and Regression Analysis | 3 |
| ISYE 6416 | Computational Statistics | 3 |
| ISYE 6740 | Computational Data Analysis: Learning, Mining, and Computation | 3 |
| Group 2 | ||
| ECON 7012 | Microeconomic Theory I | 3 |
| ECON 7013 | Microeconomic Theory II | 3 |
| CSE 6140 | Computational Science and Engineering Algorithms | 3 |
| CS 6550 | Design and Analysis of Algorithms | 3 |
| ISYE 6402 | Time Series Analysis | 3 |
| ISYE 6412 | Theoretical Statistics | 3 |
| ISYE 6413 | Design and Analysis of Experiments | 3 |
| ISYE 6420 | Introduction to Theory and Practice of Bayesian Statistics | 3 |
| ISYE 6663 | Nonlinear Optimization | 3 |
| ISYE 6664 | Stochastic Optimization | 3 |
| ISYE 6679 | Computational Methods in Optimization | 3 |
| ISYE 6761 | Stochastic Processes I | 3 |
| ISYE 7401 | Advanced Statistical Modeling | 3 |
| ISYE 7405 | Multivariate Data Analysis | 3 |
| ISYE 7406 | Data Mining and Statistical Learning | 3 |
| ISYE 7661 | Theory of Linear Inequalities | 3 |
| ISYE 7682 | Convexity | 3 |
| ISYE 7683 | Advanced Nonlinear Programming | 3 |
| ISYE 7686 | Advanced Combinatorial Optimization | 3 |
| ISYE 7687 | Advanced Integer Programming | 3 |
| ISYE 8813 | Special Topics in Operations Research (Constraint Programming) | 3 |
| ISYE 8813 | Special Topics in Operations Research (Game Theory) | 3 |
| Domain Core (at least 3 courses) | ||
| HS 6000 | Introduction to Healthcare Delivery | 3 |
| ISYE 6201 | Manufacturing Systems | 3 |
| ISYE 6202 | Warehousing Systems | 3 |
| ISYE 6203 | Transportation and Supply Chain Systems | 3 |
| ISYE 6225 | Advanced Engineering Economy | 3 |
| ISYE 6227 | Introduction to Financial Engineering | 3 |
| ISYE 6230 | Economic Decision Analysis | 3 |
| ISYE 6320 | Public Impact Applications of Operations Research and Management Science | 3 |
| ISYE 6421 | Biostatistics | 3 |
| ISYE 6673 | Financial Optimization Models | 3 |
| ISYE 6785 | The Practice of Quantitative and Computational Finance | 3 |
| ISYE 7201 | Production and Service Systems Engineering | 3 |
| ISYE 7203 | Logistics Systems Engineering | 3 |
| ISYE 7205 | Inventory Theory | 3 |
| ISYE 8813 | Special Topics in Operations Research (On Life Cycle Assessment) | 3 |
| Technical Elective (3 courses) 1,2 |
- 1
Decided in consultation with advisor.
- 2
Up to two technical electives may double-count toward satisfying the minor requirement
Comprehensive Exam
The General Industrial Engineering comprehensive exam has two parts:
- Written exam: Students have to select any two courses from Group 1 methodology core of General Industrial Engineering track. They are required to solve one question each from these 2 topics. Both questions are to be solved in one three hour exam.
- Research paper: The research paper must be submitted by the day of the exam. The paper must be:
- Written 100% by the student. (The student may mention the name of faculty/student collaborator.)
- No more than 10 pages (excluding references), font size 11, margin at least 1 inch.
- The first page should contain the title, the research collaborators, and a short abstract.
- The introduction should be a broadly accessible to a non-expert and contain exposition of the main goals, ideas and techniques, including motivation and a clear literature survey (The entire paper can be a literature survey paper).
Supply Chain Engineering
| Code | Title | Credit Hours |
|---|---|---|
| Methodology Core (4 courses) | ||
| Group 1 (at least 2 courses) | ||
| ISYE 6661 | Linear Optimization | 3 |
| ISYE 6662 | Discrete Optimization | 3 |
| ISYE 6761 | Stochastic Processes I | 3 |
| ISYE 6832 | Simulation Theory and Methods | 3 |
| Group 2 | ||
| ISYE 6230 | Economic Decision Analysis | 3 |
| ISYE 6412 | Theoretical Statistics | 3 |
| ISYE 6414 | Statistical Modeling and Regression Analysis | 3 |
| ISYE 6663 | Nonlinear Optimization | 3 |
| ISYE 6664 | Stochastic Optimization | 3 |
| ISYE 6740 | Computational Data Analysis: Learning, Mining, and Computation | 3 |
| ISYE 7682 | Convexity | 3 |
| ISYE 7683 | Advanced Nonlinear Programming | 3 |
| ISYE 7686 | Advanced Combinatorial Optimization | 3 |
| ISYE 7687 | Advanced Integer Programming | 3 |
| ISYE 8813 | Special Topics in Operations Research (Constraint Programming) | 3 |
| Domain Core (3 courses) | ||
| Group 1 (at least 2 courses) | ||
| ISYE 6202 | Warehousing Systems | 3 |
| ISYE 7201 | Production and Service Systems Engineering | 3 |
| ISYE 7203 | Logistics Systems Engineering | 3 |
| ISYE 7205 | Inventory Theory | 3 |
| Group 2 | ||
| ISYE 6201 | Manufacturing Systems | 3 |
| ISYE 6203 | Transportation and Supply Chain Systems | 3 |
| ISYE 6320 | Public Impact Applications of Operations Research and Management Science | 3 |
| Computational Core (1 course) 1 | ||
| ISYE 6679 | Computational Methods in Optimization | 3 |
| CSE 6140 | Computational Science and Engineering Algorithms | 3 |
| CS 6550 | Design and Analysis of Algorithms | 3 |
| Technical Elective (2 courses) 2,3 |
- 1
Computational core may be chosen from the list above or can be other graduate-level courses related to the major area of study.
- 2
Decided in consultation with advisor.
- 3
Up to two technical electives may double-count toward satisfying the minor requirement
Comprehensive Exam
The Supply Chain Engineering comprehensive exam has two parts:
- Written exam: Students have to select any two courses from Group 1 methodology core of Supply Chain Engineering track. They are required to solve one question each from these 2 topics. Both questions are to be solved in one three hour exam.
- Research paper: The research paper must be submitted by the day of the exam. The paper must be:
- Written 100% by the student. (The student may mention the name of faculty/student collaborator.)
- No more than 10 pages (excluding references), font size 11, margin at least 1 inch.
- The first page should contain the title, the research collaborators, and a short abstract.
- The introduction should be a broadly accessible to a non-expert and contain exposition of the main goals, ideas and techniques, including motivation and a clear literature survey (The entire paper can be a literature survey paper).
Statistics
| Code | Title | Credit Hours |
|---|---|---|
| Domain Core (4 courses) | ||
| ISYE 6412 | Theoretical Statistics | 3 |
| ISYE 6413 | Design and Analysis of Experiments | 3 |
| ISYE 6416 | Computational Statistics | 3 |
| ISYE 7401 | Advanced Statistical Modeling | 3 |
| Statistics Electives (4 courses) | ||
| ISYE 6402 | Time Series Analysis | 3 |
| ISYE 6404 | Nonparametric Data Analysis | 3 |
| ISYE 6420 | Introduction to Theory and Practice of Bayesian Statistics | 3 |
| ISYE 6421 | Biostatistics | 3 |
| ISYE 6740 | Computational Data Analysis: Learning, Mining, and Computation | 3 |
| ISYE 6781 | Reliability Theory | 3 |
| ISYE 6783 | Statistical Techniques of Financial Data Analysis | 3 |
| ISYE 6805 | Reliability Engineering | 3 |
| ISYE 7400 | Advanced Design of Experiments | 3 |
| ISYE 7405 | Multivariate Data Analysis | 3 |
| ISYE 7406 | Data Mining and Statistical Learning | 3 |
| Technical Electives (2 courses) 1,2 | ||
| ISYE 6661 | Linear Optimization | 3 |
| ISYE 6662 | Discrete Optimization | 3 |
| ISYE 6663 | Nonlinear Optimization | 3 |
| ISYE 6664 | Stochastic Optimization | 3 |
| ISYE 6761 | Stochastic Processes I | 3 |
| ISYE 6762 | Stochastic Processes II | 3 |
| ISYE 6832 | Simulation Theory and Methods | 3 |
| ISYE 6810 | Systems Monitoring and Prognostics | 3 |
| ISYE 7204 | Informatics in Production & Service Systems | 3 |
| MATH 6014 | Graph Theory and Combinatorial Structures | 3 |
| MATH 6241 | Probability I | 3 |
| MATH 6242 | Probability II | 3 |