Reliability and Maintainability Electrical Engineering Graduate Certificate
Reliability and maintainability (R&M) are crucial aspects of engineering because they directly impact the performance, safety, cost-effectiveness, and lifespan of products and systems, making them an essential foundation in the electrical engineering field. Obtaining a grad certificate in this area sets students and professionals apart with specialized skills highly valued in the electrical engineering industry.
Program overview
The reliability and maintainability electrical engineering graduate certificate program is an interdepartmental initiative designed for students who wish to pursue careers in Reliability and Maintainability Engineering within the electrical engineering industry. It is also suitable for professionals and managers currently working in the field looking to improve their knowledge and skills.
The program consists of four graduate engineering courses, two required courses and two elective courses. The two required courses introduce the student to the fundamentals of maintenance engineering and reliability engineering. The two elective courses are selected from a list of RME-related courses that currently includes courses in five traditional engineering disciplines.
Why get a Certificate in Reliability and Maintainability Electrical Engineering?
With industry standards and compliance constantly evolving at a fast pace, it’s important for electrical engineers to continue learning R&M best practices to gain a professional edge and support movement into leadership and strategic roles.
What can you do with a Certificate in Reliability and Maintainability Electrical Engineering?
Certificate holders are better equipped for roles in reliability engineering, maintenance management, quality control, and asset management within the electrical engineering field. Completing this program equips individuals with a unique set of skills that opens the door to pursuing careers as reliability engineers or data analysts, maintenance engineers, quality assurance specialists, predictive maintenance technicians, R&M consultants, and many more.
Featured Courses
Below are some of the courses that students in our program can choose to take. For a list of all courses, visit the graduate catalog.
IE 483 Introduction to Reliability Engineering
Probabilistic failure models and parameter estimation (maximum likelihood, Bayes techniques). Model identification and comparison, accelerated life tests, failure prediction, system reliability, preventive maintenance, and warranties.
IE 484 Introduction to Maintainability Engineering
Principles of maintenance and reliability engineering and maintenance management. Topics include information extraction from machinery measurements, rotating machinery diagnostics, nondestructive testing, life prediction, failure models, lubrication oil analysis, establishing a predictive maintenance program, and computerized maintenance management systems.
ECE 504 Random Process Theory for Engineers
Theoretical and applied aspects of probability and random process. Course topics include measure and probability, stationary process, Poisson process, Gaussian process and Brownian motion, Markov process, renewal process, and empirical process and concentration. Students will also learn how theory can be applied to various application domains, including sampling complexity in machine learning, queuing in network, linear prediction, pricing in futures market, Markov decision process, and reinforcement learning.
STAT 567 Lifetime Data and Survival Analysis
Statistical analysis of time-to-event data with censored observations. Nonparametric methods including Kaplan Meier curves and the log-rank test, parametric regression based on accelerated failure models, and semiparametric analysis with the Cox proportional hazards model are explained and applied to practical data sets. Case studies from both engineering and business analytics are used. Use of statistical software required.
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