Online Graduate Certificate in Reliability and Maintainability Chemical Engineering
Reliability and Maintainability Engineering
Program Overview
The Online Graduate Certificate in Reliability and Maintainability Chemical Engineering is a 12-credit, fully online program designed for working chemical engineers, process engineers, and graduate students. Graduates are equipped to reduce equipment downtime, strengthen process safety, and lead asset integrity initiatives across regulated manufacturing and industrial environments. Upon completing this reliability engineering certificate online, graduates will be able to:
- Design and improve reliable, maintainable chemical manufacturing systems.
- Apply reliability analysis and risk assessment to chemical processes.
- Utilize predictive analytics and optimization techniques to improve equipment performance and reduce downtime.
- Support process safety, asset integrity, and lifecycle management initiatives.
- Lead continuous improvement efforts in highly regulated manufacturing environments.
Why Earn This Certificate?
Reliability and maintainability expertise is in growing demand across chemical processing, energy, pharmaceutical, and manufacturing sectors. This online graduate certificate equips engineers and technical professionals with the credentials and practical skills to directly impact operational performance and reduce costly downtime. Core competencies covered include:
- Risk Analysis
- Predictive Maintenance
- Process Optimization
- Data-Driven Decision Making
Who This Certificate is For
This program is well-suited for working chemical engineers, process engineers, plant reliability engineers, and maintenance professionals seeking formal credentials without pausing their careers. 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:
- Asset Performance Engineer
- Continuous Improvement Engineer
- Maintenance Planner
- Risk-Based Inspection Analyst
- Rotating Equipment Reliability 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.
