Campuses:
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Twin Cities Campus
Industrial and Systems Engineering Ph.D.Industrial and Systems Engineering
College of Science and Engineering
Link to a list of faculty for this program.
Contact Information
Industrial and Systems Engineering Graduate Program, University of Minnesota, 207 Church St SE, Minneapolis, MN 55455 (612-624-1582; fax: 612-624-0944)
Email:
isye@umn.edu
Website: http://cse.umn.edu/isye/
Along with the program-specific requirements listed below, please read the
General Information section of
this
website for requirements that apply to all major fields.
The Industrial and Systems Engineering (ISyE) PhD program offers coursework and research in industrial and systems engineering, operations research, and human factors. Special emphasis is on methodologies for design, planning, and management of service and manufacturing systems. Examples of research applications include logistics, transportation, healthcare delivery systems, revenue management, and supply chain management.
Program Delivery
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program
is 3.00.
A baccalaureate degree in engineering or a closely related field is required.
Special Application Requirements:
All application materials should be submitted electronically through the online application system.
The application deadlines are December 15 for fall semester and October 15 for spring semester.
Applicants must submit their test score(s) from the following:
International applicants must submit score(s) from one of the following tests:
Key to test
abbreviations
(GRE, TOEFL, IELTS).
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
32
credits are required in the major.
12 credits are required outside the major. 24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 3.00
is required for students to remain in good standing.
Courses offered on both the A-F and S/N grading basis must be taken A-F.
In order to fulfill the University's graduate education policy regarding research ethics training, students are required to take an online research ethics training course through the CITI program, or a qualifying equivalent.
Required Courses (12 credits)
8000-level IE Coursework (8 credits)
Complete a minimum of 8 credits from the following, in consultation with the advisor.
IE 8531 - Discrete Optimization
(4.0 cr)
IE 8533 - Advanced Stochastic Processes and Queuing Systems
(4.0 cr)
IE 8534 - Advanced Topics in Operations Research
(1.0-4.0 cr)
IE 8535 - Introduction to Network Science
(4.0 cr)
IE 8536 - Advanced Topics in Engineering Management
(4.0 cr)
IE 8538 - Advanced Topics in Information Systems
(4.0 cr)
IE 8541 - Decision Support Systems
(4.0 cr)
IE 8552 - Advanced Topics in Production, Inventory, and Distribution Systems
(4.0 cr)
IE 8564 - Optimization for Machine Learning
(4.0 cr)
IE 8571 - Advanced Reinforcement Learning and Dynamic Programming
(4.0 cr)
Electives (0 to 10 credits)
Select coursework from the following, in consultation with the advisor. Other courses may be selected with the advisor and director of graduate studies approval.
IE 5080 - Topics in Industrial Engineering
(1.0-4.0 cr)
IE 5511 - Human Factors and Work Analysis
(4.0 cr)
IE 5513 - Engineering Safety
(4.0 cr)
IE 5522 - Quality Engineering and Reliability
(4.0 cr)
IE 5545 - Decision Analysis
(4.0 cr)
IE 5561 - Analytics and Data-Driven Decision Making
(4.0 cr)
IE 8531 - Discrete Optimization
(4.0 cr)
IE 8533 - Advanced Stochastic Processes and Queuing Systems
(4.0 cr)
IE 8534 - Advanced Topics in Operations Research
(1.0-4.0 cr)
IE 8535 - Introduction to Network Science
(4.0 cr)
IE 8536 - Advanced Topics in Engineering Management
(4.0 cr)
IE 8538 - Advanced Topics in Information Systems
(4.0 cr)
IE 8541 - Decision Support Systems
(4.0 cr)
IE 8552 - Advanced Topics in Production, Inventory, and Distribution Systems
(4.0 cr)
IE 8564 - Optimization for Machine Learning
(4.0 cr)
IE 8571 - Advanced Reinforcement Learning and Dynamic Programming
(4.0 cr)
IE 8794 - Industrial Engineering Research
(1.0-6.0 cr)
Outside Coursework (12 to 22 credits)
Select a minimum of 12 credits from the following in consultation with the advisor. Other courses may be chosen with advisor and director of graduate studies approval.
APEC 8001 - Applied Microeconomic Analysis of Consumer Choice and Consumer Demand
(2.0 cr)
APEC 8002 - Applied Microeconomic Analysis of Production and Choice Under Uncertainty
(2.0 cr)
CSCI 5211 - Data Communications and Computer Networks
(3.0 cr)
CSCI 5304 - Computational Aspects of Matrix Theory
(3.0 cr)
CSCI 5421 - Advanced Algorithms and Data Structures
(3.0 cr)
CSCI 5521 - Machine Learning Fundamentals
(3.0 cr)
CSCI 5523 - Introduction to Data Mining
(3.0 cr)
CSCI 5525 - Machine Learning: Analysis and Methods
(3.0 cr)
CSCI 8980 - Special Advanced Topics in Computer Science
(1.0-3.0 cr)
ECON 8101 - Microeconomic Theory
(2.0 cr)
ECON 8102 - Microeconomic Theory
(2.0 cr)
ECON 8117 - Noncooperative Game Theory
(2.0 cr)
ECON 8118 - Noncooperative Game Theory
(2.0 cr)
ECON 8119 - Cooperative Game Theory
(2.0 cr)
EE 5239 - Introduction to Nonlinear Optimization
(3.0 cr)
MATH 5485 - Introduction to Numerical Methods I
(4.0 cr)
MATH 5486 - Introduction To Numerical Methods II
(4.0 cr)
MATH 5615H - Honors: Introduction to Analysis I
(4.0 cr)
MATH 5616H - Honors: Introduction to Analysis II
(4.0 cr)
MATH 5654 - Prediction and Filtering
(4.0 cr)
MATH 5707 - Graph Theory and Non-enumerative Combinatorics
(4.0 cr)
MATH 8540 - Topics in Mathematical Biology
(1.0-3.0 cr)
MATH 8601 - Real Analysis
(3.0 cr)
MATH 8602 - Real Analysis
(3.0 cr)
MATH 8651 - Theory of Probability Including Measure Theory
(3.0 cr)
MATH 8652 - Theory of Probability Including Measure Theory
(3.0 cr)
MATH 8659 - Stochastic Processes
(3.0 cr)
PUBH 7475 - Statistical Learning and Data Mining
(3.0 cr)
PUBH 8442 - Bayesian Decision Theory and Data Analysis
(3.0 cr)
STAT 5302 - Applied Regression Analysis
(4.0 cr)
STAT 5303 - Designing Experiments
(4.0 cr)
STAT 5401 - Applied Multivariate Methods
(3.0 cr)
STAT 5421 - Analysis of Categorical Data
(3.0 cr)
STAT 5511 - Time Series Analysis
(3.0 cr)
STAT 5601 - Nonparametric Methods
(3.0 cr)
STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods
(3.0 cr)
STAT 8101 - Theory of Statistics 1
(3.0 cr)
STAT 8102 - Theory of Statistics 2
(3.0 cr)
STAT 8501 - Introduction to Stochastic Processes with Applications
(3.0 cr)
Thesis Credits (24 credits)
Take 24 doctoral thesis credits after passing preliminary oral exam.
IE 8888 - Thesis Credit: Doctoral
(1.0-24.0 cr)
Program Sub-plans
A sub-plan is not required for this program.
Students may not complete the program with more than one sub-plan.
Industrial Engineering
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Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 5551/IE 8554 |
Typically offered: | Every Spring |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Spring |
Credits: | 1.0 -4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 8.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | HUMF 8541/IE 8541 |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 5571/IE 8571 |
Typically offered: | Fall Odd Year |
Credits: | 1.0 -4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | HumF 5211/IE 5511/ME 5211 |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 3522/IE 5522 |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Spring |
Credits: | 1.0 -4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 8.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | HUMF 8541/IE 8541 |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 5571/IE 8571 |
Typically offered: | Fall Odd Year |
Credits: | 1.0 -6.0 [max 10.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Course Equivalencies: | ApEc 8001/Econ 8001/Econ 8101 |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Course Equivalencies: | ApEc 8002/Econ 8002/Econ 8102 |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4211/CSci 5211/INET 4002 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Fall Even Year |
Credits: | 1.0 -3.0 [max 27.0] |
Typically offered: | Every Fall & Spring |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall & Spring |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & Spring |
Credits: | 1.0 -3.0 [max 12.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Fall |
Credits: | 1.0 -24.0 [max 100.0] |
Grading Basis: | No Grade |
Typically offered: | Every Fall, Spring & Summer |