Quality Engineering

This certificate program is concerned with developing advanced skills in the application of quality engineering controls in the design and analysis of experiments, reliability and testing, developing robust designs, quality function deployment in product design, diagnostics and the use of total quality control in production and service. (12 credit hours)

Certificate offered on Campus and via Distance Learning 


Please choose four courses to complete the required 12 credit hours.
IMSE 511Design and Analysis of Exp3
IMSE 514Multivariate Statistics3
IMSE 519Quan Meth in Quality Engin3
IMSE 561Tot Qual Mgmt and Six Sigma3
IMSE 567Reliability Analysis3

IMSE 511     Design and Analysis of Exp     3 Credit Hours

One factor, two factor, and multifactor experiments. Fixed random and mixed models. Blocked confounding, incomplete blocks, factorial experiments, fractional factorial experiments. Introduction to response surface analysis.

Prerequisite(s): IMSE 510

IMSE 514     Multivariate Statistics     3 Credit Hours

Linear statistical models used in simple and multiple regression, and analysis of variation. Principles and techniques of principle component analysis are studied and applied to business and engineering problems using statistical computer software. (YR)

Prerequisite(s): IMSE 510

IMSE 519     Quan Meth in Quality Engin     3 Credit Hours

This course introduces the advanced quantitative and analytical methods used in quality measurement, prediction, control and improvement. The topics include sampling design and plan, control charts, statistical quality control, time series, process capability analysis and quality cost analysis. Quality related topics in robust and tolerance design are also included.

Prerequisite(s): IMSE 510

Can enroll if Level is Graduate or Rackham or Doctorate

IMSE 561     Tot Qual Mgmt and Six Sigma     3 Credit Hours

This course covers implementing Total Quality Management (TQM), undertaking Six Sigma Projects, and applying Baldrige National Quality Award criteria and ISO 9000 principles to improve quality performances in an organization. Topics include Definitions and Importance of Quality, Quality Costs, Quality Function Deployment (QFD), Product Specification and Critical-to-quality Measures (CQM), Statistical Quality Control (SQC), Robustness Concepts, Quality System Design and Evaluation. Six Sigma and DMAIC Methodologies, Design for Six Sigma (DFSS) process, IDOV (Identity requirements, Design alternatives, Optimize the design and Verify process capability) Methodology, and several other concepts and tools related to quality are also covered.

Prerequisite(s): IMSE 510

Can enroll if Class is Graduate

IMSE 567     Reliability Analysis     3 Credit Hours

Statistics of reliability and life testing. Application of stochastic models for failure based on Poisson and related processes. Use of exponential and extreme value distribution in reliability. Use of Markov process in the areas of equipment reliability, maintenance and availability.

Prerequisite(s): IMSE 510


An asterisk denotes that a course may be taken concurrently.

Frequency of Offering

The following abbreviations are used to denote the frequency of offering: (F) fall term; (W) winter term; (S) summer term; (F, W) fall and winter terms; (YR) once a year; (AY) alternating years; (OC) offered occasionally