School of Individualized Study Advising Team
Poor quality in manufacturing and service can cost companies as much as 20 percent of revenue in rework, scrap, brand switching, and loss of goodwill. Organizations have begun to understand that prevention saves more time and money than the discovery of flaws after the fact.
The school’s management-oriented certificate program focuses on quality as a priority. Developed in cooperation with industry, the courses can help students develop a total quality management environment to combine the theory and practice of statistical quality control with leadership, teamwork, and problem-solving concepts and skills.
The certificate in quality management teaches the nuts and bolts of a quality organization, prepares students to introduce quality concepts to their organization, and teaches how to put quality principles to work. The certificate can prepare students to work as quality trainers, facilitators, team leaders, or managers at various levels of an organization.
This program is no longer accepting new student applications.
This course provides an introduction to the fundamental concepts of quality management. It includes an overview of the competitive environment, the cost of poor quality, and the history of quality; a systematic examination of the leading definitions of quality and models of quality management; and an exploration of the implication of quality management concepts for organizational structure and roles, decision making and interpersonal relations. Lecture 3 (Fall, Spring).
Quality Data Analysis
This course is an introduction to statistics and probability that provides students with techniques to analyze and interpret quality control data. Topics include problem solving techniques such as the fishbone and flowcharting; descriptive statistics (statistical tables and graphs, measures of central tendency and dispersion); hypothesis testing; distributions commonly used in quality management; and one-way ANOVA. Lecture 3 (Spring).
Introduction to Lean Six Sigma
Six Sigma techniques, introduced to industry in the late 1980’s, use data-driven decisions to reduce defects, drive down costs and increase efficiency. This methodology focuses on minimizing process variation, thereby enabling the process to operate more smoothly and efficiently. Lean is a process that focuses on eliminating waste and streamlining operations. Lean Six Sigma combines the two processes, providing a powerful tool to make improvements in any process or business. In this course, students learn the history, context, and tools of Lean/Six Sigma and apply the process in a course project. (QLTM-310; QLTM-340; or permission of instructor) (Prerequisite: QLTM-310 or QLTM-340 or equivalent course.) Lecture 3 (Fall).
Choose one of the following:
Statistical Quality Tools
An introductory course in Statistical Quality Control techniques used in determining operating quality levels and recognizing degrees of process control and capability in a service industry or a manufacturing process. Topics include sources of variation; construction and interpretation of charts for variables and attributes; process capability; acceptance sampling; and design of experiments (DOE) concepts. (Prerequisite: QLTM-340 or equivalent course.) Lecture 3 (Fall).
Management for Quality
Successful companies integrate quality techniques and concepts throughout their operations. This course addresses issues in developing and managing an effective organization, including defining a quality philosophy, delighting the customer, the role of strategic planning, enhancing the employee involvement, and sustaining quality initiatives. Additional topics include evaluating quality standards and systems, benchmarking, and vendor and supplier assurance. Lecture 3 (Spring).