Online Master of Science in Reliability and Maintainability Engineering (MS)
Reliability and Maintainability Engineering
Program Overview
Have you already completed a bachelor’s degree in engineering or physics? If you’re looking to advance your education and career, the University of Tennessee, Knoxville, offers an online master’s degree program in RME. Earn your online master’s in Engineering, with a major in the study of Reliability and Maintainability.
At UT, the Master of Science degree in Reliability and Maintainability Engineering (RME) is entirely online and consists of thirty hours of graduate work in RME with the possibility of a concentration in a traditional engineering academic department.
Why Choose Reliability and Maintainability Engineering?
The Reliability and Maintainability Engineering (RME) program is a multidisciplinary program that focuses on using management systems, analysis techniques, and advanced condition-based and preventive technologies to identify, manage, and eliminate failures that lead to system function losses. Once perceived as a practitioner or manufacturing issue, reliability and maintainability engineering is now considered a business issue of urgent priority.
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Featured Courses
Some of the courses students in the Reliability and Maintainability Engineering, MS program can take include:
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.
The 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 students to develop solutions by considering different dimensions, including financial, technical feasibility, risk, safety, security, etc. Multi-criteria decision-making methodologies will be presented to allow students to make decisions when different criteria lead to conflicting solutions.
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, and Individual-based (e.g., general path model).
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.
