Graduate Certificate - Lean Six Sigma

The Lean Six Sigma Certificate Program consists of four of the courses listed below, which are delivered as part of our regular master’s degree programs in Engineering Management. Students will be responsible for prerequisite knowledge as determined by course instructors.

For prerequisites regarding the courses below, please visits the Catalog of Courses provided by the Registrar's Office.

Core Courses

EMGT 5710 (309) The Six Sigma Way
This course is an introduction to the principles of implementing the Six Sigma philosophy and methodology. Topics include tools and methods including process flow diagrams, cause and effect diagrams, failure mode and effects analysis, gage R&R, capability studies, design of experiments and strategy for organizing six sigma techniques in industry.

EMGT 6710 (409) Design for Six Sigma
Principles of Design for Six Sigma for product development. Topics include tools and methods including quality function deployment, concept generation, concept selection, product modeling, process development, DFX strategies, failure mode and effects analysis, design of experiments, TRIZ, and robust design.

EMGT 6611 (472) Lean Manufacturing Systems
Lean Manufacturing is a total enterprise philosophy built on increasing the synergy between humans and technological systems. Use of various concepts such as flow, just-in-time, lead times, inventory turns, standardized work, pull system, value streams, quick changeover, workplace organization, and visual controls are covered to improve system performance.

Elective Courses (select one)

STAT 5643 (343) Probability and Statistics
Introduction to the theory of probability and its applications, sample spaces, random variables, binomial, Poisson, normal distributions, derived distributions, and moment generating functions.

STAT 5353 (353) Statistical Data Analysis
Introduction to methods for analyzing statistical data from experiments and surveys. Analysis of variance, correlation, introduction to regression techniques, contingency tables, non-parametric techniques and introduction to modern statistical software.

Admission Requirements
This certificate program is open to all persons holding a BS, MS, or PhD degree with a degree in Engineering or hard science with a minimum cumulative GPA of 2.75 and who have a minimum of 12 months of professional employment experience or are currently accepted into a graduate degree program at Missouri S&T.

Once admitted to the program, the student must take the four designated courses. In order to receive a Graduate Certificate, the student must have an cumulative grade point average of 3.0 or better in the certificate courses. Once admitted into the program, a student will be given three years to complete the program.

Students admitted to the Certificate Program will have non-degree graduate status but will earn graduate credit for the courses they complete. If the four-course sequence is completed with a grade of "B" or better in each of the courses, they will be admitted to the appropriate MS program if they apply. The Certificate course taken by students admitted to the MS program will count towards their master’s degree. Students who do not have all of the prerequisite courses necessary to take the courses in the Certificate Program will be allowed to take "bridge" courses at either the graduate or undergraduate level to prepare for the formal Certificate courses.  

Gainful Employment Program Disclosureā€ˇ
Effective July 1, 2011, the Department of Education requires that all certificate programs must disclose particular Gainful Employment information to current and prospective students. The information that is provided in the disclosure includes the estimated cost of the certificate program as well as on-time graduation and job placement rates for this particular certificate program. The disclosure information is based on data from the 2010-11 school year (defined as the period between July 1, 2010, and June 30, 2011).