M.S. in Reliability and Maintainability Engineering
A Master of Science degree with a major in Reliability and Maintainability Engineering is offered through an interdepartmental program. Both thesis and non-thesis options are available. See the catalog listings for the appropriate department in the College of Engineering and the Department of Statistics, Operations and Management Science for more information about the courses offered. The program can be completed on campus or through distance delivery.
Admission
Applicants for admission to the MS program in Reliability and Maintainability Engineering are expected to have earned a bachelor's degree from an accredited undergraduate program in engineering or physics. Students from other appropriate disciplines (e.g. chemistry, mathematics, etc.) can be admitted but additional engineering courses may be required. Entering students must have, as a minimum, competency in mathematics through ordinary differential equations. The Reliability and Maintainability Engineering Program Coordinator is the contact for all students interested in the Reliability and Maintainability Engineering major.
Requirements
Students, with the concurrence of their graduate committee, may choose between a thesis option and a non-thesis project option. The chosen coursework must be approved by the graduate student's major professor and committee. After the completion of the formal program coursework and research, the student must pass an oral examination conducted by his/her graduate committee. The committee will include the student's major professor, the Reliability and Maintainability Engineering program coordinator (or his/her appointee), and another faculty member at the rank of assistant professor or above.
Thesis Option
Specific requirements of the thesis option are a minimum of 30 semester hours including:
- Twelve semester hours of RME Core Courses as listed below.
- Three semester hours of RME Elective Courses chosen from the list below.
- Six semester hours of graduate courses in statistics chosen from the list below.
- Three semester hours in engineering, statistics, business management, or a related field.
- Master's thesis: 6 semester hours through the department of the major professor.
- A final oral examination covering the thesis and related coursework.
Non-Thesis Option
Specific requirements of the thesis option are a minimum of 30 semester hours including:
- Twelve semester hours of RME Core Courses as listed below.
- Six semester hours of RME Elective Courses chosen from the list below.
- Six semester hours of graduate courses in statistics chosen from the list below.
- Three semester hours in engineering, statistics, business management, or a related field.
- Project in lieu of thesis (3 semester hours). The course will be supervised by the student's master's committee. A written project proposal describing what the student will do in the course must be submitted in advance to the graduate student's committee for approval. A written final report is required. (this course may be taken through the major professor's department: ChE 580, ECE 501, ES 590, IE 501, ME 590, NE 598 )
- A final oral examination covering the project and related coursework. The final oral examination must be on the University of Tennessee Knoxville campus.
Note: At least two-thirds of the minimum required hours must be taken in courses numbered at or above the 500 level.
RME Core Courses:
- Introduction to Mathematical Statistics (Stat 560)*
- Introduction to Reliability Engineering (IE/ME/NE 483)*
- Introduction to Maintainability Engineering (IE/ME/MSE/NE 484)*
- Process System Reliability and Safety (ChE/NE 585)*
RME Electives:
- Applications of Linear Algebra in Engineering Systems (ChE/BME/ECE/MSE/ME 507)
- Applications of Multivariate Statistics and Process Modeling and Data Analysis (ChE/IE 561)
- Modern Transform Methods (ECE 503)
- Random Process Theory for Engineers (ECE 504)
- Statistical Methods in Industrial Engineering (IE 516)
- Reliability Engineering (IE 517)
- Mechanical Vibrations (ME/BME/ES 534)*
- Advanced Monitoring and Diagnostic Techniques (NE 579)*
Statistics Electives:
- Statistical Techniques in Industrial Processes (Stat 566)
- Analysis of Lifetime Data (Stat 567)
- Statistical Methods (Stat 571)*
- Applied Linear Models (Stat 572)*
- Design of Experiments (Stat 573)*
- Data Mining (Stat 574)*
- Applied Time Series (Stat 575)
- Categorical Data Analysis (Stat 578)
- Applied Multivariate Methods (Stat 579)
*Currently offered through distance education.
All courses are 3 hour courses.
Effective: Fall 2007