Campuses:
This is archival data. This system was retired as of August 21, 2023 and the information on this page has not been updated since then. For current information, visit catalogs.umn.edu.
Twin Cities Campus
Industrial and Systems Engineering M.S.I.SY.E.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: https://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) MS 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.
MS students can pursue one of three tracks: Analytics, Industrial Engineering, or Systems Engineering.
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 are submitted electronically through the Graduate Admissions Office. The application must include the intended track.
Analytics Track:
· The GRE is required.
· Personal statement
· Three letters of recommendation (required for financial aid consideration only)
· Students are admitted fall semester only. The application deadline is February 15.
Industrial Engineering Track:
· The GRE is required.
· Personal statement
· Three letters of recommendation (required for financial aid consideration only)
· Application deadlines are February 15 for fall semester and October 15 for spring semester.
Systems Engineering Track:
· The GRE is not required.
· A minimum two years of professional work experience in a technical field is required; however, promising candidates with less experience will be considered under exceptional circumstances
· Personal statement
· Three letters of recommendation
· Application deadlines are February 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
Plan A: Plan A requires
14
major credits,
6
credits outside the major,
and
10
thesis credits.
The final exam is oral.
Plan B: Plan B requires
24
major credits and
6
credits outside the major.
The final exam is oral.
Plan C: Plan C requires
24 to 30
major credits and
0 to 6
credits outside the
major.
There is no final exam.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 2.80
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.
Analytics track: Non-native English speakers must take ESL 5008 (2 credits). ESL 5008 cannot be applied to degree requirements.
Joint- or Dual-degree Coursework:
MSISyE/MS-Civil Engineering (Transportation Engineering Focus)
Students may take a total of 15 credits in common
among the academic programs.
Program Sub-plans
Students are required to complete one of the following sub-plans.
Students may not complete the program with more than one sub-plan.
Analytics
This sub-plan is limited to students completing the program under Plan C.
Required Courses (24 credits)
Take the following courses. Select CSCI 5521 or CSCI 5523 in consultation with the advisor. Students not in the Integrated B.ISyE/M.S.ISyE program take IE 5532. Students in the Integrated B.ISyE/M.S.ISyE program take IE 5545.
IE 5531 - Engineering Optimization I
(4.0 cr)
IE 5561 - Analytics and Data-Driven Decision Making
(4.0 cr)
IE 5773 - Practice-focused Seminar
(1.0 cr)
IE 5801 - Capstone Project
(4.0 cr)
STAT 5302 - Applied Regression Analysis
(4.0 cr)
Electives (6 credits)
Select 6 credits from the following in consultation with the advisor. Other credits may be chosen with advisor and director of graduate studies approval.
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 5707 - Principles of Database Systems
(3.0 cr)
CSCI 5751 - Big Data Engineering and Architecture
(3.0 cr)
IE 5441 - Financial Decision Making
(4.0 cr)
IE 5522 - Quality Engineering and Reliability
(4.0 cr)
IE 5541 - Project Management
(4.0 cr)
IE 5545 - Decision Analysis
(4.0 cr)
IE 5551 - Production and Inventory Systems
(4.0 cr)
IE 5553 - Simulation
(4.0 cr)
IE 5571 - Reinforcement Learning and Dynamic Programming
(4.0 cr)
IE 8564 - Optimization for Machine Learning
(4.0 cr)
MABA 6321 - Data Management and Big Data
(2.0 cr)
MSBA 6321 - Data Management, Databases, and Data Warehousing
(3.0 cr)
MSBA 6331 - Big Data Analytics
(3.0 cr)
PUBH 7461 - Exploring and Visualizing Data in R
(2.0 cr)
PUBH 7475 - Statistical Learning and Data Mining
(3.0 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)
Industrial Engineering
Outside Courses (6 credits)
Select at least 6 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)
APEC 8206 - Dynamic Optimization: Applications in Economics and Management
(3.0 cr)
APEC 8211 - Econometric Analysis I
(2.0 cr)
CSCI 5421 - Advanced Algorithms and Data Structures
(3.0 cr)
CSCI 5511 - Artificial Intelligence I
(3.0 cr)
CSCI 5512 - Artificial Intelligence II
(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 5707 - Principles of Database Systems
(3.0 cr)
CSCI 5751 - Big Data Engineering and Architecture
(3.0 cr)
CSCI 5801 - Software Engineering I
(3.0 cr)
ECON 8117 - Noncooperative Game Theory
(2.0 cr)
HINF 5502 - Python Programming Essentials for the Health Sciences
(1.0 cr)
MATH 5615H - Honors: Introduction to Analysis I
(4.0 cr)
MATH 5616H - Honors: Introduction to Analysis II
(4.0 cr)
MATH 8651 - Theory of Probability Including Measure Theory
(3.0 cr)
MBA 6031 - Financial Accounting
(3.0 cr)
MBA 6221 - Supply Chain & Operations
(3.0 cr)
MGMT 6004 - Negotiation Strategies
(2.0 cr)
MILI 6985 - The Health Care Marketplace
(2.0 cr)
MKTG 8810 - Consumer Behavior Special Topics
(2.0 cr)
MOT 5001 - Technological Business Fundamentals
(2.0 cr)
MOT 5002 - Creating Technological Innovation
(3.0 cr)
PUBH 6325 - Data Processing with PC-SAS
(1.0 cr)
PUBH 7461 - Exploring and Visualizing Data in R
(2.0 cr)
PUBH 7475 - Statistical Learning and Data Mining
(3.0 cr)
SCO 6041 - Project Management
(2.0 cr)
SCO 6056 - Managing Supply Chain Operations
(4.0 cr)
SCO 6059 - Quality Management and Lean Six Sigma
(4.0 cr)
SCO 6072 - Managing Technologies in the Supply Chain
(2.0 cr)
STAT 5021 - Statistical Analysis
(4.0 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)
Electives
Plan A students select credits as needed to meet the 20 course credits required for the degree, Plan B students select credits as needed to meet the 30-credit minimum, and Plan C students select credits as needed to meet the 32-credit minimum. The number of Plan B credits will be dependent upon how the 4-credit Plan B Project requirement is satisfied. Credits are selected in consultation with the advisor.
IE 5080 - Topics in Industrial Engineering
(1.0-4.0 cr)
IE 5111 - Systems Engineering I
(2.0 cr)
IE 5113 - Systems Engineering II
(4.0 cr)
IE 5441 - Financial Decision Making
(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 5524 - Process Transformation through Lean Tools
(2.0 cr)
IE 5541 - Project Management
(4.0 cr)
IE 5545 - Decision Analysis
(4.0 cr)
IE 5551 - Production and Inventory Systems
(4.0 cr)
IE 5553 - Simulation
(4.0 cr)
IE 5561 - Analytics and Data-Driven Decision Making
(4.0 cr)
IE 5571 - Reinforcement Learning and Dynamic Programming
(4.0 cr)
IE 5801 - Capstone Project
(4.0 cr)
IE 8521 - Optimization
(4.0 cr)
IE 8531 - Discrete Optimization
(4.0 cr)
IE 8532 - Stochastic Processes and Queuing Systems
(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 8552 - Advanced Topics in Production, Inventory, and Distribution Systems
(4.0 cr)
IE 8564 - Optimization for Machine Learning
(4.0 cr)
Plan Options
Plan A
-OR-
Plan B
Project Credits (0 to 4 credits)
Complete the Plan B project/paper. Take 0-4 credits of the following in consultation with the advisor.
IE 8794 - Industrial Engineering Research
(1.0-6.0 cr)
Systems Engineering
This sub-plan is limited to students completing the program under Plan C.
Outside Courses (6 credits)
Select at least 6 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)
APEC 8206 - Dynamic Optimization: Applications in Economics and Management
(3.0 cr)
APEC 8211 - Econometric Analysis I
(2.0 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 5707 - Principles of Database Systems
(3.0 cr)
CSCI 5801 - Software Engineering I
(3.0 cr)
ECON 8117 - Noncooperative Game Theory
(2.0 cr)
HINF 5430 - Foundations of Health Informatics I
(3.0 cr)
HINF 5502 - Python Programming Essentials for the Health Sciences
(1.0 cr)
MATH 5615H - Honors: Introduction to Analysis I
(4.0 cr)
MATH 5616H - Honors: Introduction to Analysis II
(4.0 cr)
MATH 8651 - Theory of Probability Including Measure Theory
(3.0 cr)
MBA 6031 - Financial Accounting
(3.0 cr)
MBA 6221 - Supply Chain & Operations
(3.0 cr)
MGMT 6004 - Negotiation Strategies
(2.0 cr)
MILI 6985 - The Health Care Marketplace
(2.0 cr)
MKTG 8810 - Consumer Behavior Special Topics
(2.0 cr)
MOT 5001 - Technological Business Fundamentals
(2.0 cr)
MOT 5002 - Creating Technological Innovation
(3.0 cr)
PUBH 6325 - Data Processing with PC-SAS
(1.0 cr)
PUBH 7461 - Exploring and Visualizing Data in R
(2.0 cr)
PUBH 7475 - Statistical Learning and Data Mining
(3.0 cr)
SCO 6041 - Project Management
(2.0 cr)
SCO 6056 - Managing Supply Chain Operations
(4.0 cr)
SCO 6059 - Quality Management and Lean Six Sigma
(4.0 cr)
SCO 6072 - Managing Technologies in the Supply Chain
(2.0 cr)
STAT 5021 - Statistical Analysis
(4.0 cr)
STAT 5302 - Applied Regression Analysis
(4.0 cr)
STAT 5303 - Designing Experiments
(4.0 cr)
STAT 5401 - Applied Multivariate Methods
(3.0 cr)
Electives
Select credits as needed from the following, in consultation with the advisor, to complete the 30-credit minimum.
IE 5080 - Topics in Industrial Engineering
(1.0-4.0 cr)
IE 5441 - Financial Decision Making
(4.0 cr)
IE 5513 - Engineering Safety
(4.0 cr)
IE 5522 - Quality Engineering and Reliability
(4.0 cr)
IE 5524 - Process Transformation through Lean Tools
(2.0 cr)
IE 5531 - Engineering Optimization I
(4.0 cr)
IE 5532 - Stochastic Models
(4.0 cr)
IE 5545 - Decision Analysis
(4.0 cr)
IE 5551 - Production and Inventory Systems
(4.0 cr)
IE 5561 - Analytics and Data-Driven Decision Making
(4.0 cr)
IE 5571 - Reinforcement Learning and Dynamic Programming
(4.0 cr)
IE 5773 - Practice-focused Seminar
(1.0 cr)
IE 5801 - Capstone Project
(4.0 cr)
IE 8521 - Optimization
(4.0 cr)
IE 8531 - Discrete Optimization
(4.0 cr)
IE 8532 - Stochastic Processes and Queuing Systems
(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 8552 - Advanced Topics in Production, Inventory, and Distribution Systems
(4.0 cr)
Integrated B.I.Sy.E./M.S.I.Sy.E.
This sub-plan is optional and does not fulfill the sub-plan requirement for
this program.
This sub-plan is limited to students completing the program under Plan C.
The Department of Industrial and Systems Engineering offers an integrated bachelor's/master's degree program. The program makes it possible for students to earn both a bachelor's degree (BISyE) and a master's degree (MSISyE–Analytics track) in Industrial and Systems Engineering in five years. The program has several benefits: a streamlined admissions process from the undergraduate to the graduate program; graduate student status granted in the senior year; eligibility for teaching and research assistantships; and flexibility in fulfilling required courses for both degrees in the last two years of study. Applicants must be enrolled in the ISyE undergraduate program at the University of Minnesota Twin Cities and have a minimum cumulative GPA of at least 3.4 or a strong letter of recommendation from an ISyE faculty member. The following IE courses must be completed or in progress at the time of application: 1101, 2021, 3011, 3521, 3522, 4011, and 4551.
The BISyE and MSISyE degrees must be completed in their entirety, with no courses shared between them. The graduate degree cannot be earned before the undergraduate requirements are satisfied. Admitted students who decide not to complete the MSISyE degree are permitted to count credits originally planned for the graduate program toward their undergraduate technical electives.
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Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic 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: | 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: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4707/CSci 5707/INET 4707 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 3522/IE 5522 |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 4541/IE 5541 |
Grading Basis: | A-F only |
Typically offered: | Every 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 4.0] |
Course Equivalencies: | IE 3553/IE 5553 |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 5571/IE 8571 |
Typically offered: | Fall Odd Year |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
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: | 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: | HumF 5211/IE 5511/ME 5211 |
Grading Basis: | A-F or Aud |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall |
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: | 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] |
Typically offered: | Every Spring |
Credits: | 2.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4511W/CSci 5511 |
Prerequisites: | [2041 or #], grad student |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 5512W/CSci 5512 |
Typically offered: | Every 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: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4707/CSci 5707/INET 4707 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 2041 or # |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Course Equivalencies: | MILI 5990/6990/3585/5585 |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 2.0 [max 8.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 2.0 [max 2.0] |
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: | 1.0 [max 1.0] |
Typically offered: | Every Spring |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & 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: | 1.0 -4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 2.0 [max 2.0] |
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 Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
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: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 4541/IE 5541 |
Grading Basis: | A-F only |
Typically offered: | Every 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 4.0] |
Course Equivalencies: | IE 3553/IE 5553 |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 5571/IE 8571 |
Typically offered: | Fall Odd Year |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
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] |
Typically offered: | Periodic Spring |
Credits: | 1.0 -4.0 [max 8.0] |
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: | 1.0 -18.0 [max 50.0] |
Grading Basis: | No Grade |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 1.0 -6.0 [max 10.0] |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
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 Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 4541/IE 5541 |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Course Equivalencies: | IE 3553/IE 5553 |
Typically offered: | Periodic Fall & Spring |
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] |
Typically offered: | Every Spring |
Credits: | 2.0 [max 4.0] |
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: | 3.0 [max 3.0] |
Course Equivalencies: | CSci 4707/CSci 5707/INET 4707 |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Prerequisites: | 2041 or # |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
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 4.0] |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Spring |
Credits: | 3.0 [max 3.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Course Equivalencies: | MILI 5990/6990/3585/5585 |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 2.0 [max 8.0] |
Grading Basis: | A-F or Aud |
Typically offered: | Periodic Fall & Spring |
Credits: | 2.0 [max 2.0] |
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: | 1.0 [max 1.0] |
Typically offered: | Every Spring |
Credits: | 2.0 [max 2.0] |
Typically offered: | Every Fall |
Credits: | 3.0 [max 3.0] |
Typically offered: | Periodic Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall & 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: | 1.0 -4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
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: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
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] |
Typically offered: | Periodic Fall & Spring |
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] |
Course Equivalencies: | IE 5571/IE 8571 |
Typically offered: | Fall Odd Year |
Credits: | 1.0 [max 1.0] |
Grading Basis: | S-N or Aud |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 4.0 [max 4.0] |
Typically offered: | Every Fall |
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] |
Typically offered: | Periodic Spring |
Credits: | 1.0 -4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 8.0] |
Typically offered: | Periodic Fall & Spring |