Master of Science (MS)

Industrial Engineering

Tickle College of Engineering

Program Overview

The University of Tennessee, Knoxville, offers an online Master of Science in Industrial Engineering degree for those seeking to expand their knowledge of a broad range of engineering areas.

Credit Hours

32

Cost Per Credit Hour*

In-State $815

Out-of-State $890

Testing Requirements

No GRE

Admission Terms

Fall, Spring, Summer

*Cost per credit hour is an estimate based on maintenance and university fees. Some programs may have additional course fees. Please contact your department for additional information on any related fees, and visit Tuition and Fees in Detail at One Stop.

ACQUIRE THE SKILLS FOR A BETTER TOMORROW  

This program is designed for working professionals that are interested in strengthening their knowledge in Industrial Engineering. Our courses cover a broad range of topics such as engineering economics, engineering management, operations research, data analytics, and lean systems.   

Asynchronous & Synchronous 

Online learners are able to attend online classes in real-time or watch the recordings, which enable students to work around work and home commitments.  

Featured Courses

Students will have the opportunity to take a wide range of engineering-based courses during the completion of their MS in Industrial Engineering degree. Here is an example of the courses offered: 

IE 516: Statistical Methods in Industrial Engineering

Application of classical statistical techniques to industrial engineering problems. Statistics and statistical thinking in managerial context of organizational improvement; descriptive statistics and distribution theory; relationship between statistical process control techniques and classical statistical tools; parameter estimation and hypothesis testing; goodness-of-fit testing; linear regression and correlation; analysis of variance; single and multiple factor experimental design. 

IE 518: Advanced Engineering Economics Analysis

Application of engineering economic analysis in complex decision situations. Inflation and price changes; uncertainty evaluation using non-probabilistic techniques; capital financing and project allocation; evaluations involving equipment replacement, investor-owned utilities, and public works projects; probabilistic risk analysis including computer simulation and decision trees; multi-attribute decision analysis; and other advanced topics.  

IE 550: Graduate Seminar

Seminar provides an opportunity for Master’s and Doctoral students to acquaint themselves with research being conducted by both faculty and graduate students in the Industrial and Systems Engineering Department, as well as select campus-wide and off-campus researchers from both academia and industry. Research work and relevant results are presented in a professional environment that promotes continued interaction among interested parties.

IE 522: Optimization Methods in Industrial Engineering

Development and application of fundamental deterministic optimization methods including linear programming, dynamic programming, introductory integer programming, basic game theory, and classical optimization theory applied to constrained and unconstrained models. 

Program Concentrations

Students can choose one of the following concentrations:

Automotive Manufacturing

Systems Engineering

Ready to lead the way in Industrial Engineering?

Loading...