Online Lean-Six Sigma Certificate
Data and statistical analysis
The mission of this certificate program is to prepare dedicated leaders and skilled managers who make better engineering and related business decisions using data and statistical analysis while minimizing wasted resources.
The 11-credit-hour, Lean Six Sigma Certificate will appear on your transcript upon graduation.
Questions? Contact Industrial and Systems Engineering Department Chair.
Statistics for Engineering Management: EMGT 6100 (4 credit hours)
Estimation theory, hypothesis testing, and statistical prediction, simple linear regression, multiple regression, transformations, analysis of variance, and simple experimental design.
Principles of Six Sigma: EMGT 6110 (4 credit hours)
Application of statistics to control of quality and reliability in products and services, including training in the Six Sigma DMAIC problem-solving methodology. Topics include: tools and techniques for statistically-based product and process improvement; design of acceptance sampling and process control systems, including attention to inspection and test methods; and design and implementation of quality assurance programs, including nonstatistical dimensions of quality systems.
Requisite: EMGT 6100 Statistics for Engineering Management
Lean Thinking Methods: EMGT 6500 (3 credit hours)
The objective of this course is to teach students tools for applying lean thinking, lean principles and lean methods in manufacturing and service systems. Students will learn basic methods of the lean production, such as value-stream mapping, 5(6)-S, continuous flow, Kanban, SMED, A3, continuous improvement. The methods will be learned by practicing them in group discussions and in projects. Upon completion of the course, students will possess skills to apply lean methods in their working environments.