Online Education for Working Professionals
Learn SPC, Lean, and DOE tools and techniques for process and product quality and productivity improvement.

Quality Engineering—Graduate Certificate

Quality Engineering

Build quality engineering skills for a career in a variety of manufacturing and non-manufacturing sectors.

The certificate provides the conceptual and mathematical foundations of the tools and techniques used in the field of quality engineering. Learn to wield control charts, descriptive data, graphical data, concepts of lean manufacturing, process capability analysis, design of experiments, and more. Solve real-world product, process, and quality- and productivity-related problems. The average quality engineer salary is about $94,000 per year.

3 courses in 3 semesters.

Department Mechanical Engineering-Engineering Mechanics
Admissions requirement Acceptance to the Graduate School.
Contact Jason Blough
Length 3 courses in 2-3 semesters
Effort 3 hours per credit per week
Each course 3 credits
Total credits 9
Course type Online or on-campus
Modality Watch class recordings on demand
Cost Based on credits and course type
Already enrolled? Speak with your advisor.

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Progress quickly with a compact curriculum.

Work with the program advisor to select courses that fit your interests and pre-requisite skills.

Take 6 credits of required courses.

MA 5701 - Statistical Methods

Introduction to design, conduct, and analysis of statistical studies, with an introduction to statistical computing and preparation of statistical reports. Topics include design, descriptive, and graphical methods, probability models, parameter estimation and hypothesis testing.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

MEEM 5650 - Advanced Quality Engineering

Stresses the concepts and methods for quality and productivity improvement. Topics include principles of Shewhart, Deming, Taguchi; meaning of quality: control charts for variables, individuals, and attributes; process capability analysis; variation of assemblies; Monte Carlo simulation, multi-variate situations; and computer-based workshops. No credit for both MEEM4650 and MEEM5650.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following College(s): College of Engineering

Take a 3 credit elective course.

MEEM 5655 - Introduction to Lean Manufacturing

Lean manufacturing is emerging globally as a paradigm by which business units function to be globally competitive. Quality, cost, and delivery have become critical measures that impact profits, and, in turn, the success of an organization. Significant improvements in these measures come from the continuous elimination of waste, or non-value added activities, in manufacturing. This course is intended to familiarize students with this new philosophy of lean manufacturing and arm them with a basic toolset that enables the identification, measurement, and elimination of non-value added activities.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring
  • Restrictions: Must be enrolled in one of the following College(s): College of Engineering, College of Business
  • Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

MEEM 5670 - Experimental Design in Engineering

Review of basic statistical concepts. Models for testing significance of one or many factors. Reducing experimental effort by incomplete blocks, and Latin squares. Factorial and fractional factorial designs. Response surface analysis for optimal response.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Summer
  • Restrictions: Must be enrolled in one of the following College(s): College of Engineering
  • Pre-Requisite(s): MEEM 4901(C) or ENT 4950(C) or Graduate Status >= 1

The minimum completion time is one semester.

On-campus

The minimum completion time for on-campus students is one semester if MEEM 5670 is selected as the elective course. Here is a typical schedule.

Fall  
MA 5701, MEEM 5650, MEEM 5670  

Online

The minimum completion time for online students is two semesters. Here is a typical schedule.

Fall Spring
MA 5701, MEEM 5655 MEEM 5650

Interested in taking a single, online course? Enroll as a non-degree seeking student.

Upon completion of the Certificate the student should be able to:

  1. Apply statistical process control for continuous improvement.
  2. Apply quality engineering tools for process and product quality and productivity improvement.
  3. Analyze data and display professional communication skills (written and oral) of engineers working in the quality engineering field.

Michigan Tech was founded in 1885.

The University is accredited by the Higher Learning Commission and widely respected by fast-paced industries, including automotive development, infrastructure, manufacturing, and aerospace. Michigan Tech graduates deliver on rapid innovation and front-line research, leaning into any challenge with confidence.

The College of Engineering fosters excellence in education and research.

We set out as the Michigan Mining School in 1885 to train mining engineers to better operate copper mines. Today, more than 60 percent of Michigan Tech students are enrolled in our 17 undergraduate and 29 graduate engineering programs across nine departments. Our students and curriculum embrace the spirit of hard work and fortitude our founders once had. Our online graduate courses are the same, robust classes taken by our doctorate and masters candidates, taught directly by highly regarded faculty, with outstanding support from staff. We invite working professionals to join these courses, bring their own experience and challenges as part of the discussion. Leverage the national reputation of Michigan Tech to advance your career in tech leadership.

Meet the online certified instructors.

Students have the flexibility to review class recordings later.

Dana Johnson

Dana Johnson

Adjunct Professor, Mechanical Engineering-Engineering Mechanics

Teaching Statement

Dr. Johnson teaches introduction to lean manufacturing.

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Ray Molzon

Ray Molzon

Lecturer, Mathematical Sciences

Teaching Statement

Dr. Molson teaches elementary mathematics, regression analysis, and SAS programming.

Radheshyam Tewari

Radheshyam Tewari

Senior Lecturer, Mechanical Engineering-Engineering Mechanics

Teaching Statement

Dr. Tewari teaches on topics of experimental design in engineering, production planning, additive manufacturing, and lean manufacturing.

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