Yes. The minimum requirement for admission is a baccalaureate degree or its equivalent from an accredited institution. We welcome applicants with undergraduate degree from diverse background such as business, psychology, political science, mathematics, chemistry, physics, computer science, to name a few. Contact Dr. Lihui Bai (Program Director) for your readiness to join the program. In some cases, remedial work may be required and can be accomplished in advance by taking course(s) either at UofL or at recommended community colleges. For instance, students who do not come from a STEM field will need to have Calculus I for this program.
Online Master of Science in Industrial Engineering
This program is designed for working professionals across a variety of industry backgrounds looking to expand their technical engineering skills, as well as business understanding, and prepare to lead a diverse team—all through convenient, on-your-schedule, online courses.
UofL’s online MS in Industrial Engineering offers a broad range of courses across three focus areas with strong market growth potential: Advanced Manufacturing, Human Factors, Data Analytics & Operations Research, and Logistics & Supply Chain. Through the program's unique modularized 8-week course format, you’ll experience the flexibility needed to balance earning your master’s degree while working full-time and managing other priorities. Industrial Engineering (IE) is ranked #1 on the list of “10 Fastest Growing Engineering Jobs in the USA until 2028” with an expected job growth of 10% between 2019-2029 (bls.gov). This advanced IE degree can boost your current career in the industry and/or prepare you to move into another industry. Relevant industries include manufacturing, supply chain, automotive, healthcare, defense, entertainment, banking, insurance and more.
This online master’s degree is offered through the J. B. Speed School of Engineering at the University of Louisville.
Industrial Engineering, MS Virtual Info Session: Wednesday, April 9
12pm - 1:00pm
Join the MSIE faculty and staff for a special professional event on Networking in Higher Ed, to learn more about the program, how to apply, and get your questions answered.
Register Now
How Much Will I Pay?
$830 per credit hour
$250 per credit hour active-duty tuition rate
This program is a Title IV federal financial aid eligible program. Tuition rate does not include costs associated with a specific course or program, such as textbooks.
Please note that other fees apply – check our tuition page for all applicable costs.
Tuition, fees, and charges are subject to change and effective on the date enacted.For additional information on educational expenses and the Cost of Attendance, please visit the Student Financial Aid Office website.
Merit-Based Scholarship Available for Admitted Online MSIE Students
Complete your application as soon as possible to be considered. Get started now!
Highlights
- Advance your engineering career in industries such as healthcare, supply chain, manufacturing, automotive, entertainment, banking, insurance and more.
- Customize your degree to match your career goals: increase your depth of knowledge in one specialized area (by taking 4 or more focused courses) or your breadth of knowledge (taking 1-2 courses in various areas).
- Enrich your practical experience with theoretical knowledge and state-of-the-art techniques.
- Take advantage of 100% online classes, with access to coursework anytime, anywhere.
- Complete the 10 required courses in as quickly as 1.5 – 2 years; all courses are 3 credit hours and taught over 8-week terms.
- Choose your own pace and take advantage of 6 starting terms each year.
- Work with the MSIE department to devise a plan of study that fits your educational needs and meets your prescribed timeframe.
- Pay the same affordable tuition as traditional in-state students no matter where you are around the globe.
- Enhance opportunities to advance on the technical management ladder with this degree.
- Earn a master's degree in industrial engineering through UofL's online stackable certificates pathway.
START YOUR APPLICATION REQUEST INFORMATION
Logistics & Supply Chain Focus Area
Do you want to sharpen your critical thinking, data-driven communication, and analytics and AI/ML skills required by today’s logistics industry? Consider the Logistics and Supply Chain focus area in the MS in Industrial Engineering. This focus area integrates data analytics and system-level modeling in diverse areas of logistics such as network design, resource planning, demand forecasting, warehousing, and much more, which are critical to inter- and intra-organization operations in today’s fast and connected business environment.
Is UofL’s online MSIE program the right one for you?
The online MSIE program accepts students with undergraduate degrees in both engineering and non-engineering disciplines. Unlike many graduate programs, our online Master of Science in Industrial Engineering program at the University of Louisville does not require GRE test scores for admission. Our admission process focuses on each applicant's potential to succeed and make an impact as an industrial engineer. If you have a technical degree or relevant experience and a passion for industrial engineering, our program could be a great fit for you. Review the admission requirements, along with the prerequisites, under the Application Tab.
Advance your IE knowledge on your own time through fully online coursework.
Complete the program in just 10 courses (30 credit hours).
Designed to help you balance your work-life-education goals.
"The MSIE program has been the perfect program for me to pursue a graduate degree, while also starting a full-time job. Since the courses are online and asynchronous, I was able to travel to Germany for my work for over three months and still stay on track. The faculty has been so kind in helping me obtain my degree and been flexible with my changing schedule. I am so excited to graduate in only one year and forever thankful to the MSIE program for presenting me with such a brilliant opportunity."
- Keeley Slade, MSIE, Class of 2023
What Can I Do With a Master of Science in Industrial Engineering?
An IE degree will allow you to contribute at all levels of product or service innovation, from design inception to delivery to the end user. The depth and breadth of knowledge embedded in this degree will provide a boost to your professional career at a pace convenient to you. You will gain the expertise and skills needed to undertake higher responsibilities in your current role, rise up in your company, and/or pursue a new role in a growing area. UofL MSIE graduates have landed jobs at leading companies such as Tesla, Boeing, Disney, Johnson & Johnson, UPS, and eBay in positions including:
- Operations engineer/manager
- Supply chain analyst/consultant
- Procurement engineer/manager
- Data scientist
- Data analyst/manager
- Human factors engineer
- User experience designer/manager
- Health systems engineer
- Process improvement engineer
- Project manager
| Application Deadline | Term | Start Date |
|---|---|---|
| July 1 | Fall (Term I) | August |
| September 1 | Fall (Term II) | October |
| November 15 | Spring (Term I) | January |
| February 1 | Spring (Term II) | March |
| April 1 | Summer (Term I) | May |
| May 1 | Summer (Term II) | June |
Note: Admissions are on a rolling basis. The preferred deadlines help you complete the application process on time, be notified of acceptance, and enroll before the term begins. Although admissions are granted for a specific term up to the day classes start, we recommend you submit your complete application well in advance of the preferred deadline, as obtaining transcripts and other materials may take more time.
How to Apply for the Online Master of Science in Industrial Engineering
- Start your application for graduate admission
- Submit $65 non-refundable application fee
- Upload required materials*
- Request official transcripts from all previously attended colleges and universities. Transcripts are only accepted directly from the institution(s) by email: gradadm@louisville.edu (recommended) or mail: University of Louisville, Graduate School, 2211 S. Brook St., Louisville, KY 40292.
- Create a financial plan
START YOUR APPLICATION REQUEST INFORMATION
Online Master of Science in Industrial Engineering Admissions Requirements and Materials
To be considered for admission, applicants must have:
- a bachelor’s degree or its equivalent from an accredited institution
- a minimum undergraduate GPA of 2.75 on a 4.0 scale (applicants who do not meet the minimum GPA may inquire about conditional acceptance)
*Required application packet materials include:
- transcripts showing Calculus I or higher
- two letters of recommendation
- current resume
*Your Application Portal:
Once you have started the graduate application, you can check the status and
review any additional checklist to-do items. Log in to your application using the
email address you used to apply for admission and your password. Your checklist
items may include additional materials or documentation that facilitate a smooth
admissions process. You will also have access to important contact information and
next steps after an admissions decision is made.
Online Master of Science in Industrial Engineering International Applicants
The Master of Science in Industrial Engineering program is open to international students. If you live outside of the United States (U.S.) and intend to complete an online academic program from your home country, be sure to review these additional requirements for international students:
- All international transcripts must be certified as authentic and translated verbatim in English.
- Students whose primary language is not English must show English language proficiency by attaining one of the following:
- TOEFL scores of 79 or higher on the internet-based test OR
- Duolingo English test score of 105 or higher OR
- English proficiency can also be met by submitting official IELTS scores of at least 6.5 overall band score from the academic module exam
Online MSIE Transfer Credits
Transfer up to six (6) credit hours from another graduate engineering program at UofL or from an accredited college or institution* (subject to department approval).
*See the Graduate School Transfer of Credit Policy for more information.
For more information on the admission and application process, please contact our Online Learning Enrollment Counselor at 800.871.8635 or by email at online@louisville.edu.
The online MSCE is a 30 credit hour (10 course) program with course options that allow you to pursue your interests in areas like management, communications and geography. The program is 100% online. Courses are delivered asynchronously, in standard term length.
| MSIE Core Courses | Hours |
|---|---|
| IE 560 Probability and Statistics for Engineers | 3 |
| IE 664 Experiment Design in Engineering | 3 |
| Total Credit Hours | 6 |
Focus Areas
Students may choose to either focus their coursework on one of four specialized areas or to customize their coursework by selecting courses from across all the available options.
| Focus Area Courses1,2 | Hours |
|---|---|
| Advanced Manufacturing | |
| Prepares professionals to shape the future through innovative technologies like big data, automation, robotics, nanomanufacturing, and 3D printing. This exciting field empowers people to tackle pressing challenges and make a real difference in manufacturing. | |
| IE 600 Additive Manufacturing Processes | 3 |
| IE 619 Advanced Manufacturing Systems | 3 |
| IE 629 Quality Control | 3 |
| Data Analytics and Operations Research | |
| Harness the power of data to gain valuable insight into complex systems and enhance decision-making. This dynamic, interdisciplinary field combines scientific and mathematical methods to analyze, manage, and design systems for a better world. | |
| IE 561 Developing Decision Support System in Excel | 3 |
| IE 645 Simulation | 3 |
| IE 646 Operations Research Methods | 3 |
| IE 662 Predictive Analytics for Decision Making I | 3 |
| Logistics and Supply Chain | |
| Explore the fascinating world of operations, logistics, and supply chain management. Learn how to optimize complex systems to enable the smooth flow of goods and services. This field opens up opportunities to increase efficiency, reduce costs, and build strong connections between partners. | |
| IE 621 Facility Location and Layout | 3 |
| IE 625 Production and Inventory Control | 3 |
| IE 646 Operations Research Methods | 3 |
| IE 655 Supply Chain Engineering | 3 |
| IE 657 Models for Design and Analysis of Logistical Systems | 3 |
| Human Factors | |
| Improve working and living environments by applying knowledge from industrial engineering, physiology, psychology and computer science. This meaningful field explicitly considers the capabilities of users to create systems, products and experiences that truly work for people. | |
| IE 669 Introduction to Human Factors Engineering & Ergonomics | 3 |
| IE 671 Advanced Topics in Human Factors Engineering | 3 |
| IE 675 Usability Engineering | 3 |
| IE 682 Quality of Care and Patient Safety | 3 |
| IE 684 Health IT and Clinician Support | 3 |
| Focus Area Course Total Credit | 9 |
| Thesis, Project or Course-Only Option [choose 1] | Hours |
|---|---|
| Thesis Option | |
| IE 690 Master of Science Thesis in Industrial Engineering | 5 |
| Project Option | |
| IE 699 Industrial Engineering Master's Degree Project | 3 |
| 5XX and/or 6XX Technical Elective3,4 | 12 |
| Course-Only Option | |
| IE/Technical elective2,3 | 15 |
| Thesis/Project/Course Total Credit Hours | 15 |
| TOTAL PROGRAM CREDIT HOURS | 30 |
1 See Focus Area Options below with the courses included in each area.
2 Focus area is not required. Student could plan a “General” MS Industrial Engineering degree if coursework does not fit into a specific focus area.
3 Electives must be chosen so that at least one-half of the credits counted toward the degree, exclusive of thesis, are600-level.
4 Electives must be chosen so that at least fifteen (15) credit hours of coursework are in IE.
5 For the thesis option, a student is required to select both an approved MS thesis topic and the thesis director and members of the thesis committee. The thesis director must give approval for enrollment in IE 690.
START YOUR APPLICATION REQUEST INFORMATION
Course Descriptions
IE 560 Probability & Statistics for Engineers
Engineering applications using probability , random variables, distribution functions, confidence intervals, estimation and hypothesis testing.
IE 561 Developing Decision Support Systems with Excel
This course teaches the fundamentals of computer programming using Excel's macro language, Visual Basic for Applications (VBA), as the language of instruction. The course starts by teaching students to simplify and extend code generated by Excels macro recorder and then builds on that base toward developing applications that analyze information and enhance decision making. This course also provides an introduction to the concepts and methods of Decision Science, which involves the application of mathematical modeling and analysis to management problems. It also provides a foundation for modeling with VBA in Excel.
IE 600 Additive Manufacturing Processes
This course introduces students to additive manufacturing, also known as rapid prototyping or 3D printing, processes. An overview of all additive manufacturing processes is provided. Projects are used to develop in-depth knowledge in key applications of additive manufacturing. Design project gives students an opportunity to apply their knowledge to the design and/or re-design of a component. Students cannot receive credit for both IE 600 and IE 400.
IE 619 Advanced Manufacturing Systems
This course focuses on providing a more comprehensive exposure of science, engineering and practice associated with the modern manufacturing engineering. A broad range of topics, including manufacturing engineering, industrial automation, design for manufacturing, product concept design and prototyping, industrial sensing, internet of things, data analytics, statistics and additive manufacturing. This course does not attempt to establish a rigorous theoretical knowledge base for all the covered topic areas, but instead focuses on establishing the connections among the different topic areas for real-world application scenarios. The course utilizes project-based learning as the primary tool for knowledge learning and hands-on practice. Throughout the course, 5-6 labs/projects are anticipated, all requiring team works and structured reporting. Assignments such as individual homework will be employed as additional learning tools for necessary knowledge for solving manufacturing problems.
IE 621 Facility Location and Layout
Design and layout of industrial facilities, facility location, space requirements, flow charts, relationship diagrams, material handling, quantitative layout techniques, production line balancing, and computer programs for layout planning.
IE 625 Production and Inventory Control
Topics include the context of inventory management and production planning decisions, economic order quantities, heuristics and models for probabilistic and time-varying demand patterns, coordinated replenishment systems, and aggregate planning.
IE 629 Quality Control
Previous course preparation in the areas of engineering statistics is required and approved by instructor. Developing an effective total quality control (TQC) system: integrating the quality development, maintenance, and improvement efforts of an organization; control charts, process capability, value engineering, product liability prevention, and computer control.
Note: Students cannot receive credit for both IE 629 and IE 430.
IE 645 Simulation
The use of discrete event simulation to analyze systems. Topics include Monte Carlo techniques, sampling from and identifying stochastic distributions, estimating performance measures from simulation outputs, validation methods, and SIMIO simulation language.
IE 646 Operations Research Methods
Formulation and solution of basic models in operations research. Topics to be covered include applications of linear, integer and nonlinear programming; transportation and assignment problems, and network flows models.
IE 655 Supply Chain Engineering
This course is designed to offer a balanced coverage on concept survey, analytics and modeling for operations and engineering in supply chain and logistics systems. Emphasis will be on analysis of strategic, tactical and operational supply chain problems including inventory decisions, revenue operations & modeling, distribution & network design, supply contracts and coordination among supply chain partners. Other related topics to be covered include various critical concepts and strategies such as risk pooling, information sharing, and the role of information systems in supply chain engineering.
IE 657 Models for Design and Analysis of Logistical Systems
This modeling oriented course for the design, analysis and operation of logistical systems includes topics such as inventory control, transportation, distribution network design, and supply chain management. Both deterministic as well as stochastic models are studied.
IE 662 Predictive Analytics for Decision Making I
Prerequisite: IE 560 (Probability and Statistics) or similar course. This course will prepare students with various predictive analytics methods for manufacturing, healthcare, etc., which will be illustrated in examples. Different data types from real-world examples will be shown. Subsequently, it will be demonstrated how the predictive analytics methods can be used for better decision making. The methods will be implemented in non-programming based standard software such as Matlab, Excel, and Minitab.
IE 664 Experimental Design
Design of engineering experiments and projects using theory of least squares, analysis of variance, randomized blocks, factorial experiments, nested designs, split plot designs and logistic regression techniques. Covers a combination of analysis by hand and using Minitab statistical software.
Note: Cross-listed with CSE 563. Students may not obtain credit for both IE 563 and ME 611; or for IE 664 and EM 661.
IE 669 Introduction to Human Factors Engineering and Ergonomics
The main goal of this course is to introduce students to the study of human cognitive and physical abilities and limitations, and application of that knowledge to engineering design. This course will demonstrate how the application of the human factors and ergonomics principles can improve the design of systems involving the interaction of humans with tools, technology, and the work environment.
IE 671 Advanced Topics in Human Factors Engineering
The main goal of this course is to learn and apply advanced methods in human factors engineering, as well as newer models, theories, and frameworks related to the field.
IE 675 Usability Engineering
This course exposes students to the constructs of usability, usefulness, user-centered design, and user-experience (UX) and their relation to engineering design. The course covers an interactive evaluation-centered user experience (UX) lifecycle as a template intended to be instantiated in many different ways to match the constraints of a particular development project. The UX lifecycle, sketching, conceptual design, and formative UX evaluation.
IE 682 Quality of Care and Patient Safety
This course provides students an overview of the healthcare system and the different types of healthcare delivery, as well as factors that determine quality of care. This course also exposes students to tenets of patient safety from a human factors engineering perspective. Students will learn models of patient safety and incident analysis tools, including Root Cause Analysis (RCA) and Healthcare Failure Mode and Effects Analysis (HFMEA).
IE 684 Health IT and Clinician Support
This course provides students an overview of various types of health information technology (IT) systems, as well as strategies, methods, and tools used to support the work and health of clinicians. This course also exposes students to applied tools and guidelines of the design and evaluation of health IT systems. Students will learn to use software to prototype high-fidelity, interactive user interfaces, and to conduct human factors evaluation on health IT systems based on the FDA guidelines. Documentation of such design and evaluation process will also be practiced with the semester project.
-
My bachelor’s degree is not in engineering. Can I still apply to earn the online industrial engineering degree?
-
What are the academic prerequisites recommended in order to be a successful applicant to the online masters in industrial engineering program?
The Industrial Engineering department requires all applicants complete the CALCULUS I class prior to application/admission to the MSIE program. You can complete this prerequisite as a non-degree student at UofL or elsewhere.
At UofL, you can take:
MATH 180 - Elements of Calculus - QR, OR;
MATH 205 - Calculus I - QR
Check the Schedule of Courses for more information. -
Is GRE/GMAT score required?
No, you do not need to submit GRE/GMAT scores.
-
I am an international student. Can I apply to the MSIE program?
Yes. International students will not be issued a U.S. visa, if admitted to the MSIE online program, since there are no campus attendance requirements.
-
When do I need to send my official transcripts?
Official transcripts are required as a part of a complete application, therefore are needed at the time of application for full consideration. Unofficial transcripts, with degree posted, can be accepted until official transcripts are received.
-
Can I transfer graduate courses completed at another institution to UofL’s online masters in industrial engineering program?
Yes. Students may request to transfer up to six (6) credit hours from another accredited graduate program.
-
Does the IE department offer financial aid to incoming online MSIE students?
Scholarships opportunities may exist for exceptional applicants contingent upon availability of funding. These limited scholarships, designed to partially offset the tuition, are determined on a rolling basis at the time of admission. Official offer letters to individual students will contain details.
-
What are the eligibility requirements and timeline for receiving the Department of Industrial Engineering merit-based scholarship?
The merit-based scholarship is designed to partially offset the tuition for classes that a student registers in. Students who wish to apply for scholarship must submit a one-page Statement of Purpose demonstrating qualifications and intent towards the program. Demonstrated strengths will be assessed in a holistic manner with focus on, but not limited to, current work profile and future goals, prior industry experience (internships/co-op, full-time), accomplishments in prior academic work (e.g., undergraduate, certificates), plans for successfully completing the degree, applying knowledge to practice, and advocating for IE professionals.
-
When can I expect to learn the admission decision?
You will be informed within four weeks of the Graduate School receiving your complete application.
-
Is an online degree accepted in Industrial Engineering?
Yes, online industrial engineering degrees are fully accepted and accredited just like on-campus programs, providing the same quality education and career opportunities.
-
How long does an online Master's degree in Industrial Engineering take?
A typical online Master's in Industrial Engineering takes 1.5-2 years to complete, with flexibility to adjust your pace and take time off if needed.
-
What's the difference between Industrial Engineering and Engineering Management?
Industrial Engineering focuses more on optimizing complex systems and processes, while Engineering Management emphasizes leading technical teams and engineering operations
The set of questions and answers outlined below can help you learn more about our program, delivery method, application and admission process, financial aid options and how to succeed as an online student at UofL.
How Much Will I Pay?
$830 per credit hour
$250 per credit hour active-duty tuition rate
This program is a Title IV federal financial aid eligible program. Tuition rate does not include costs associated with a specific course or program, such as textbooks.
Please note that other fees apply – check our tuition page for all applicable costs.
Tuition, fees, and charges are subject to change and effective on the date enacted.For additional information on educational expenses and the Cost of Attendance, please visit the Student Financial Aid Office website.
Merit-Based Scholarship Available for Admitted Online MSIE Students
Complete your application as soon as possible to be considered. Get started now!
Highlights
- Advance your engineering career in industries such as healthcare, supply chain, manufacturing, automotive, entertainment, banking, insurance and more.
- Customize your degree to match your career goals: increase your depth of knowledge in one specialized area (by taking 4 or more focused courses) or your breadth of knowledge (taking 1-2 courses in various areas).
- Enrich your practical experience with theoretical knowledge and state-of-the-art techniques.
- Take advantage of 100% online classes, with access to coursework anytime, anywhere.
- Complete the 10 required courses in as quickly as 1.5 – 2 years; all courses are 3 credit hours and taught over 8-week terms.
- Choose your own pace and take advantage of 6 starting terms each year.
- Work with the MSIE department to devise a plan of study that fits your educational needs and meets your prescribed timeframe.
- Pay the same affordable tuition as traditional in-state students no matter where you are around the globe.
- Enhance opportunities to advance on the technical management ladder with this degree.
- Earn a master's degree in industrial engineering through UofL's online stackable certificates pathway.
START YOUR APPLICATION REQUEST INFORMATION
Logistics & Supply Chain Focus Area
Do you want to sharpen your critical thinking, data-driven communication, and analytics and AI/ML skills required by today’s logistics industry? Consider the Logistics and Supply Chain focus area in the MS in Industrial Engineering. This focus area integrates data analytics and system-level modeling in diverse areas of logistics such as network design, resource planning, demand forecasting, warehousing, and much more, which are critical to inter- and intra-organization operations in today’s fast and connected business environment.
Is UofL’s online MSIE program the right one for you?
The online MSIE program accepts students with undergraduate degrees in both engineering and non-engineering disciplines. Unlike many graduate programs, our online Master of Science in Industrial Engineering program at the University of Louisville does not require GRE test scores for admission. Our admission process focuses on each applicant's potential to succeed and make an impact as an industrial engineer. If you have a technical degree or relevant experience and a passion for industrial engineering, our program could be a great fit for you. Review the admission requirements, along with the prerequisites, under the Application Tab.
Advance your IE knowledge on your own time through fully online coursework.
Complete the program in just 10 courses (30 credit hours).
Designed to help you balance your work-life-education goals.
"The MSIE program has been the perfect program for me to pursue a graduate degree, while also starting a full-time job. Since the courses are online and asynchronous, I was able to travel to Germany for my work for over three months and still stay on track. The faculty has been so kind in helping me obtain my degree and been flexible with my changing schedule. I am so excited to graduate in only one year and forever thankful to the MSIE program for presenting me with such a brilliant opportunity."
- Keeley Slade, MSIE, Class of 2023
What Can I Do With a Master of Science in Industrial Engineering?
An IE degree will allow you to contribute at all levels of product or service innovation, from design inception to delivery to the end user. The depth and breadth of knowledge embedded in this degree will provide a boost to your professional career at a pace convenient to you. You will gain the expertise and skills needed to undertake higher responsibilities in your current role, rise up in your company, and/or pursue a new role in a growing area. UofL MSIE graduates have landed jobs at leading companies such as Tesla, Boeing, Disney, Johnson & Johnson, UPS, and eBay in positions including:
- Operations engineer/manager
- Supply chain analyst/consultant
- Procurement engineer/manager
- Data scientist
- Data analyst/manager
- Human factors engineer
- User experience designer/manager
- Health systems engineer
- Process improvement engineer
- Project manager
| Application Deadline | Term | Start Date |
|---|---|---|
| July 1 | Fall (Term I) | August |
| September 1 | Fall (Term II) | October |
| November 15 | Spring (Term I) | January |
| February 1 | Spring (Term II) | March |
| April 1 | Summer (Term I) | May |
| May 1 | Summer (Term II) | June |
Note: Admissions are on a rolling basis. The preferred deadlines help you complete the application process on time, be notified of acceptance, and enroll before the term begins. Although admissions are granted for a specific term up to the day classes start, we recommend you submit your complete application well in advance of the preferred deadline, as obtaining transcripts and other materials may take more time.
How to Apply for the Online Master of Science in Industrial Engineering
- Start your application for graduate admission
- Submit $65 non-refundable application fee
- Upload required materials*
- Request official transcripts from all previously attended colleges and universities. Transcripts are only accepted directly from the institution(s) by email: gradadm@louisville.edu (recommended) or mail: University of Louisville, Graduate School, 2211 S. Brook St., Louisville, KY 40292.
- Create a financial plan
START YOUR APPLICATION REQUEST INFORMATION
Online Master of Science in Industrial Engineering Admissions Requirements and Materials
To be considered for admission, applicants must have:
- a bachelor’s degree or its equivalent from an accredited institution
- a minimum undergraduate GPA of 2.75 on a 4.0 scale (applicants who do not meet the minimum GPA may inquire about conditional acceptance)
*Required application packet materials include:
- transcripts showing Calculus I or higher
- two letters of recommendation
- current resume
*Your Application Portal:
Once you have started the graduate application, you can check the status and
review any additional checklist to-do items. Log in to your application using the
email address you used to apply for admission and your password. Your checklist
items may include additional materials or documentation that facilitate a smooth
admissions process. You will also have access to important contact information and
next steps after an admissions decision is made.
Online Master of Science in Industrial Engineering International Applicants
The Master of Science in Industrial Engineering program is open to international students. If you live outside of the United States (U.S.) and intend to complete an online academic program from your home country, be sure to review these additional requirements for international students:
- All international transcripts must be certified as authentic and translated verbatim in English.
- Students whose primary language is not English must show English language proficiency by attaining one of the following:
- TOEFL scores of 79 or higher on the internet-based test OR
- Duolingo English test score of 105 or higher OR
- English proficiency can also be met by submitting official IELTS scores of at least 6.5 overall band score from the academic module exam
Online MSIE Transfer Credits
Transfer up to six (6) credit hours from another graduate engineering program at UofL or from an accredited college or institution* (subject to department approval).
*See the Graduate School Transfer of Credit Policy for more information.
For more information on the admission and application process, please contact our Online Learning Enrollment Counselor at 800.871.8635 or by email at online@louisville.edu.
The online MSCE is a 30 credit hour (10 course) program with course options that allow you to pursue your interests in areas like management, communications and geography. The program is 100% online. Courses are delivered asynchronously, in standard term length.
| MSIE Core Courses | Hours |
|---|---|
| IE 560 Probability and Statistics for Engineers | 3 |
| IE 664 Experiment Design in Engineering | 3 |
| Total Credit Hours | 6 |
Focus Areas
Students may choose to either focus their coursework on one of four specialized areas or to customize their coursework by selecting courses from across all the available options.
| Focus Area Courses1,2 | Hours |
|---|---|
| Advanced Manufacturing | |
| Prepares professionals to shape the future through innovative technologies like big data, automation, robotics, nanomanufacturing, and 3D printing. This exciting field empowers people to tackle pressing challenges and make a real difference in manufacturing. | |
| IE 600 Additive Manufacturing Processes | 3 |
| IE 619 Advanced Manufacturing Systems | 3 |
| IE 629 Quality Control | 3 |
| Data Analytics and Operations Research | |
| Harness the power of data to gain valuable insight into complex systems and enhance decision-making. This dynamic, interdisciplinary field combines scientific and mathematical methods to analyze, manage, and design systems for a better world. | |
| IE 561 Developing Decision Support System in Excel | 3 |
| IE 645 Simulation | 3 |
| IE 646 Operations Research Methods | 3 |
| IE 662 Predictive Analytics for Decision Making I | 3 |
| Logistics and Supply Chain | |
| Explore the fascinating world of operations, logistics, and supply chain management. Learn how to optimize complex systems to enable the smooth flow of goods and services. This field opens up opportunities to increase efficiency, reduce costs, and build strong connections between partners. | |
| IE 621 Facility Location and Layout | 3 |
| IE 625 Production and Inventory Control | 3 |
| IE 646 Operations Research Methods | 3 |
| IE 655 Supply Chain Engineering | 3 |
| IE 657 Models for Design and Analysis of Logistical Systems | 3 |
| Human Factors | |
| Improve working and living environments by applying knowledge from industrial engineering, physiology, psychology and computer science. This meaningful field explicitly considers the capabilities of users to create systems, products and experiences that truly work for people. | |
| IE 669 Introduction to Human Factors Engineering & Ergonomics | 3 |
| IE 671 Advanced Topics in Human Factors Engineering | 3 |
| IE 675 Usability Engineering | 3 |
| IE 682 Quality of Care and Patient Safety | 3 |
| IE 684 Health IT and Clinician Support | 3 |
| Focus Area Course Total Credit | 9 |
| Thesis, Project or Course-Only Option [choose 1] | Hours |
|---|---|
| Thesis Option | |
| IE 690 Master of Science Thesis in Industrial Engineering | 5 |
| Project Option | |
| IE 699 Industrial Engineering Master's Degree Project | 3 |
| 5XX and/or 6XX Technical Elective3,4 | 12 |
| Course-Only Option | |
| IE/Technical elective2,3 | 15 |
| Thesis/Project/Course Total Credit Hours | 15 |
| TOTAL PROGRAM CREDIT HOURS | 30 |
1 See Focus Area Options below with the courses included in each area.
2 Focus area is not required. Student could plan a “General” MS Industrial Engineering degree if coursework does not fit into a specific focus area.
3 Electives must be chosen so that at least one-half of the credits counted toward the degree, exclusive of thesis, are600-level.
4 Electives must be chosen so that at least fifteen (15) credit hours of coursework are in IE.
5 For the thesis option, a student is required to select both an approved MS thesis topic and the thesis director and members of the thesis committee. The thesis director must give approval for enrollment in IE 690.
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Course Descriptions
IE 560 Probability & Statistics for Engineers
Engineering applications using probability , random variables, distribution functions, confidence intervals, estimation and hypothesis testing.
IE 561 Developing Decision Support Systems with Excel
This course teaches the fundamentals of computer programming using Excel's macro language, Visual Basic for Applications (VBA), as the language of instruction. The course starts by teaching students to simplify and extend code generated by Excels macro recorder and then builds on that base toward developing applications that analyze information and enhance decision making. This course also provides an introduction to the concepts and methods of Decision Science, which involves the application of mathematical modeling and analysis to management problems. It also provides a foundation for modeling with VBA in Excel.
IE 600 Additive Manufacturing Processes
This course introduces students to additive manufacturing, also known as rapid prototyping or 3D printing, processes. An overview of all additive manufacturing processes is provided. Projects are used to develop in-depth knowledge in key applications of additive manufacturing. Design project gives students an opportunity to apply their knowledge to the design and/or re-design of a component. Students cannot receive credit for both IE 600 and IE 400.
IE 619 Advanced Manufacturing Systems
This course focuses on providing a more comprehensive exposure of science, engineering and practice associated with the modern manufacturing engineering. A broad range of topics, including manufacturing engineering, industrial automation, design for manufacturing, product concept design and prototyping, industrial sensing, internet of things, data analytics, statistics and additive manufacturing. This course does not attempt to establish a rigorous theoretical knowledge base for all the covered topic areas, but instead focuses on establishing the connections among the different topic areas for real-world application scenarios. The course utilizes project-based learning as the primary tool for knowledge learning and hands-on practice. Throughout the course, 5-6 labs/projects are anticipated, all requiring team works and structured reporting. Assignments such as individual homework will be employed as additional learning tools for necessary knowledge for solving manufacturing problems.
IE 621 Facility Location and Layout
Design and layout of industrial facilities, facility location, space requirements, flow charts, relationship diagrams, material handling, quantitative layout techniques, production line balancing, and computer programs for layout planning.
IE 625 Production and Inventory Control
Topics include the context of inventory management and production planning decisions, economic order quantities, heuristics and models for probabilistic and time-varying demand patterns, coordinated replenishment systems, and aggregate planning.
IE 629 Quality Control
Previous course preparation in the areas of engineering statistics is required and approved by instructor. Developing an effective total quality control (TQC) system: integrating the quality development, maintenance, and improvement efforts of an organization; control charts, process capability, value engineering, product liability prevention, and computer control.
Note: Students cannot receive credit for both IE 629 and IE 430.
IE 645 Simulation
The use of discrete event simulation to analyze systems. Topics include Monte Carlo techniques, sampling from and identifying stochastic distributions, estimating performance measures from simulation outputs, validation methods, and SIMIO simulation language.
IE 646 Operations Research Methods
Formulation and solution of basic models in operations research. Topics to be covered include applications of linear, integer and nonlinear programming; transportation and assignment problems, and network flows models.
IE 655 Supply Chain Engineering
This course is designed to offer a balanced coverage on concept survey, analytics and modeling for operations and engineering in supply chain and logistics systems. Emphasis will be on analysis of strategic, tactical and operational supply chain problems including inventory decisions, revenue operations & modeling, distribution & network design, supply contracts and coordination among supply chain partners. Other related topics to be covered include various critical concepts and strategies such as risk pooling, information sharing, and the role of information systems in supply chain engineering.
IE 657 Models for Design and Analysis of Logistical Systems
This modeling oriented course for the design, analysis and operation of logistical systems includes topics such as inventory control, transportation, distribution network design, and supply chain management. Both deterministic as well as stochastic models are studied.
IE 662 Predictive Analytics for Decision Making I
Prerequisite: IE 560 (Probability and Statistics) or similar course. This course will prepare students with various predictive analytics methods for manufacturing, healthcare, etc., which will be illustrated in examples. Different data types from real-world examples will be shown. Subsequently, it will be demonstrated how the predictive analytics methods can be used for better decision making. The methods will be implemented in non-programming based standard software such as Matlab, Excel, and Minitab.
IE 664 Experimental Design
Design of engineering experiments and projects using theory of least squares, analysis of variance, randomized blocks, factorial experiments, nested designs, split plot designs and logistic regression techniques. Covers a combination of analysis by hand and using Minitab statistical software.
Note: Cross-listed with CSE 563. Students may not obtain credit for both IE 563 and ME 611; or for IE 664 and EM 661.
IE 669 Introduction to Human Factors Engineering and Ergonomics
The main goal of this course is to introduce students to the study of human cognitive and physical abilities and limitations, and application of that knowledge to engineering design. This course will demonstrate how the application of the human factors and ergonomics principles can improve the design of systems involving the interaction of humans with tools, technology, and the work environment.
IE 671 Advanced Topics in Human Factors Engineering
The main goal of this course is to learn and apply advanced methods in human factors engineering, as well as newer models, theories, and frameworks related to the field.
IE 675 Usability Engineering
This course exposes students to the constructs of usability, usefulness, user-centered design, and user-experience (UX) and their relation to engineering design. The course covers an interactive evaluation-centered user experience (UX) lifecycle as a template intended to be instantiated in many different ways to match the constraints of a particular development project. The UX lifecycle, sketching, conceptual design, and formative UX evaluation.
IE 682 Quality of Care and Patient Safety
This course provides students an overview of the healthcare system and the different types of healthcare delivery, as well as factors that determine quality of care. This course also exposes students to tenets of patient safety from a human factors engineering perspective. Students will learn models of patient safety and incident analysis tools, including Root Cause Analysis (RCA) and Healthcare Failure Mode and Effects Analysis (HFMEA).
IE 684 Health IT and Clinician Support
This course provides students an overview of various types of health information technology (IT) systems, as well as strategies, methods, and tools used to support the work and health of clinicians. This course also exposes students to applied tools and guidelines of the design and evaluation of health IT systems. Students will learn to use software to prototype high-fidelity, interactive user interfaces, and to conduct human factors evaluation on health IT systems based on the FDA guidelines. Documentation of such design and evaluation process will also be practiced with the semester project.
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My bachelor’s degree is not in engineering. Can I still apply to earn the online industrial engineering degree?
Yes. The minimum requirement for admission is a baccalaureate degree or its equivalent from an accredited institution. We welcome applicants with undergraduate degree from diverse background such as business, psychology, political science, mathematics, chemistry, physics, computer science, to name a few. Contact Dr. Lihui Bai (Program Director) for your readiness to join the program. In some cases, remedial work may be required and can be accomplished in advance by taking course(s) either at UofL or at recommended community colleges. For instance, students who do not come from a STEM field will need to have Calculus I for this program.
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What are the academic prerequisites recommended in order to be a successful applicant to the online masters in industrial engineering program?
The Industrial Engineering department requires all applicants complete the CALCULUS I class prior to application/admission to the MSIE program. You can complete this prerequisite as a non-degree student at UofL or elsewhere.
At UofL, you can take:
MATH 180 - Elements of Calculus - QR, OR;
MATH 205 - Calculus I - QR
Check the Schedule of Courses for more information. -
Is GRE/GMAT score required?
No, you do not need to submit GRE/GMAT scores.
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I am an international student. Can I apply to the MSIE program?
Yes. International students will not be issued a U.S. visa, if admitted to the MSIE online program, since there are no campus attendance requirements.
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When do I need to send my official transcripts?
Official transcripts are required as a part of a complete application, therefore are needed at the time of application for full consideration. Unofficial transcripts, with degree posted, can be accepted until official transcripts are received.
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Can I transfer graduate courses completed at another institution to UofL’s online masters in industrial engineering program?
Yes. Students may request to transfer up to six (6) credit hours from another accredited graduate program.
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Does the IE department offer financial aid to incoming online MSIE students?
Scholarships opportunities may exist for exceptional applicants contingent upon availability of funding. These limited scholarships, designed to partially offset the tuition, are determined on a rolling basis at the time of admission. Official offer letters to individual students will contain details.
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What are the eligibility requirements and timeline for receiving the Department of Industrial Engineering merit-based scholarship?
The merit-based scholarship is designed to partially offset the tuition for classes that a student registers in. Students who wish to apply for scholarship must submit a one-page Statement of Purpose demonstrating qualifications and intent towards the program. Demonstrated strengths will be assessed in a holistic manner with focus on, but not limited to, current work profile and future goals, prior industry experience (internships/co-op, full-time), accomplishments in prior academic work (e.g., undergraduate, certificates), plans for successfully completing the degree, applying knowledge to practice, and advocating for IE professionals.
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When can I expect to learn the admission decision?
You will be informed within four weeks of the Graduate School receiving your complete application.
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Is an online degree accepted in Industrial Engineering?
Yes, online industrial engineering degrees are fully accepted and accredited just like on-campus programs, providing the same quality education and career opportunities.
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How long does an online Master's degree in Industrial Engineering take?
A typical online Master's in Industrial Engineering takes 1.5-2 years to complete, with flexibility to adjust your pace and take time off if needed.
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What's the difference between Industrial Engineering and Engineering Management?
Industrial Engineering focuses more on optimizing complex systems and processes, while Engineering Management emphasizes leading technical teams and engineering operations
