Online Graduate Certificate in Reliability and Maintainability Computer Engineering
Reliability and Maintainability Engineering
Program Overview
The Online Graduate Certificate in Reliability and Maintainability Computer Engineering is a 12-credit, fully online program designed for working computer engineers and graduate students. Graduates are equipped with a practical, systems-level toolkit to anticipate failures before they occur, quantify and manage reliability risk, and translate field and test data into clear design, verification, and sustainment decisions across full product lifecycles. Upon completing this reliability engineering certificate online, graduates will be able to:
- Design reliable and maintainable computing, embedded, and cyber-physical systems.
- Apply reliability engineering principles to computer hardware, software, and networked systems.
- Develop data-driven methods for fault detection, predictive maintenance, and system health monitoring.
- Evaluate system performance, resilience, and lifecycle costs to support engineering decision making.
- Improve the safety, security, and operational reliability of intelligent and autonomous systems.
Why Earn This Certificate?
Reliability and maintainability expertise is in growing demand, and this certificate helps you to meet the need. This program prepares engineers and technical professionals to design, analyze, and manage reliable computing systems, embedded platforms, and cyber-physical systems. With course combining the principles of reliability engineering with modern computer engineering topics, you’ll graduate with knowledge in:
- Hardware Reliability
- Fault-Tolerant System Design
- Embedded Systems
- Artificial Intelligence
- Data Analytics
- Predictive Maintenance
Who This Certificate is For
This program is well-suited for working computer engineers, embedded systems engineers, hardware and electronics engineers, and software/platform engineers. It is also open to graduate students looking to specialize within an engineering degree path. By earning this certificate, you open new and advanced career paths such as:
- Embedded Systems Reliability Engineer
- Failure Analysis Engineer
- Functional Safety Engineer
- Product Reliability Engineer
- Qualification Engineer
- Validation Engineer
Admission Requirements
- Applicants must meet the minimum criteria established by the UT Knoxville Graduate Council.
- The program accepts students for Fall, Spring, and Summer terms, offering multiple entry points throughout the year to fit the schedules of working professionals.
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Featured Courses
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.
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.
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. This is the graduate version of NE 485 and requires additional assignments and expectations for graduate students.
Course is divided into two major components. 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 concepts of reliability engineering are utilized to address lean system failures, including equipment failures, human failures, material failures and scheduling failures. Will develop the ability to design systems that are both lean and reliable. 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.
