Master of Science (MS)
Reliability & Maintainability Engineering
Tickle College of Engineering
The University of Tennessee, Knoxville, offers an online Master of Science (MS) in Reliability and Maintainability Engineering for students who have already completed a bachelor’s degree in engineering or physics.
Cost Per Credit Hour*
*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.
A Degree to Ignite Your Future
The Master of Science degree in Reliability and Maintainability Engineering (RME) consists of thirty hours of graduate work in RME and may have a concentration in one of the traditional engineering academic departments. Thesis and non-thesis research options are available for students, and the program can be completed synchronously or 100% asynchronously depending on the selection of courses.
The Reliability and Maintainability Engineering (RME) program is a multidisciplinary program focuses on the use of management systems, analysis techniques and advanced condition-based and preventive technologies to identify, manage and eliminate failures leading to losses in system function. Once perceived as a practitioner or manufacturing issue, reliability, and maintainability engineering is now considered a business issue of urgent priority.
Some of the courses students in the Reliability and Maintainability Engineering, MS program can take include:
IE 517: Reliability of Lean Systems
First half of the course will focus on introducing the students to the concepts of reliability and maintainability and the impact of lean on the reliability of complex systems. The second half of the course will introduce students to specific case studies of systems failures and ask student to develop solutions by considering different dimensions including financial, technical feasibility, risk, safety, security and others. Multi criteria decision making methodologies will be presented to allow students to make decisions when different criteria lead to conflicting solutions.
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.
CBE/NE 585: Process System Reliability & Safety
Qualitative and quantitative techniques for assessing and improving process systems reliability and safety. Probabilistic risk assessment, event tree analysis, fault tree analysis, statistical inference, and associated dependent failure analysis.
NE 575: Equipment & System Prognostics
The three types of prognostic techniques will be introduced with theoretical foundations, assumptions, and data requirements: Conventional reliability-based using failure times (e.g. Weibull analysis), Population based with environmental considerations.
Students have their choice of nine different program concentrations with the MS Reliability and Maintainability Engineering degree which include the following:
Materials Science & Engineering