Lean Six Sigma Adv. Cert.

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Lean Six Sigma: Online
Advanced certificate

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Online Admissions Contact

Karen Palmer, Associate Director Combined Accelerated Programs
585-475-5656,

Schedule Advising Session

Offered within the
John D. Hromi Center for Quality and Applied Statistics

A graduate credential driven by real-time employer demand

Demand for lean six sigma skills carry a salary premium in today’s employment market. These jobs are outpacing the overall labor market growth.

The lean six sigma job market

97%

Graduate outcomes rate

95K+

Average salary nationwide

65%

Lean six sigma skills appear in over half of job postings for engineers

24%

Demand growth for process improvement skills

Program Highlights

Lean Six Sigma focuses on the use of the DMAIC process (define, measure, analyze, improve, and control) and advanced statistical techniques to improve processes and reduce defects. The Advanced Certificate in Lean Six Sigma is for engineers, process-improvement facilitators, and other practitioners who seek to increase their effectiveness or enhance qualifications to broaden their careers.

What is a graduate certificate?

A graduate certificate, also called an advanced certificate, is a selection of up to five graduate level courses in a particular area of study. It can serve as a stand-alone credential that provides expertise is a specific topic that enhances your professional knowledge base, or it can serve as the entry point to a master's degree. Some students complete an advanced certificate and apply those credit hours later toward a master's degree.

Curriculum

ISEE-682
Lean Six Sigma Fundamentals
Credits 3
This course presents the philosophy and methods that enable participants to develop quality strategies and drive process improvements. The fundamental elements of Lean Six Sigma are covered along with many problem solving and statistical tools that are valuable in driving process improvements in a broad range of business environments and industries. Successful completion of this course is accompanied by “yellow belt” certification and provides a solid foundation for those who also wish to pursue a “green belt.” (Green belt certification requires completion of an approved project which is beyond the scope of this course).

Choose one of the following:

ISEE-660
Applied Statistical Quality Control
Credits 3
An applied approach to statistical quality control utilizing theoretical tools acquired in other math and statistics courses. Heavy emphasis on understanding and applying statistical analysis methods in real-world quality control situations in engineering. Topics include process capability analysis, acceptance sampling, hypothesis testing and control charts. Contemporary topics such as six-sigma are included within the context of the course.
STAT-621
Statistical Quality Control
Credits 3
A practical course designed to provide in-depth understanding of the principles and practices of statistical process control, process capability, and acceptance sampling. Topics include: statistical concepts relating to processes, Shewhart charts for attribute and variables data, CUSUM charts, EWMA charts, process capability studies, attribute and variables acceptance sampling techniques.

Choose one of the following:

ISEE-760
Design of Experiments
Credits 3
This course presents an in-depth study of the primary concepts of experimental design. Its applied approach uses theoretical tools acquired in other mathematics and statistics courses. Emphasis is placed on the role of replication and randomization in experimentation. Numerous designs and design strategies are reviewed and implications on data analysis are discussed. Topics include: consideration of type 1 and type 2 errors in experimentation, sample size determination, completely randomized designs, randomized complete block designs, blocking and confounding in experiments, Latin square and Graeco Latin square designs, general factorial designs, the 2k factorial design system, the 3k factorial design system, fractional factorial designs, Taguchi experimentation.
STAT-670
Design of Experiments
Credits 3
How to design and analyze experiments, with an emphasis on applications in engineering and the physical sciences. Topics include the role of statistics in scientific experimentation; general principles of design, including randomization, replication, and blocking; replicated and unreplicated two-level factorial designs; two-level fractional-factorial designs; response surface designs.

Elective

 
Elective
Credits 3

Admission Requirements

  • Complete the graduate application
  • Hold a baccalaureate degree from an accredited institution
  • Have a minimum undergraduate GPA of 3.0 
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work
  • Submit a current resume, personal statement, and two letters of recommendation
  • Have a satisfactory background in mathematics and statistics (at least one course in probability and statistics)
  • A test of English Language aptitude (TOEFL) is required of all applicants and course registrants whose native language is not English. Applicants are exempt from submitting exams if they have worked or studied in the U.S. for the last two years or they are from countries and attended universities whose native language is English. 

Certain countries and individuals are subject to comprehensive embargoes under US Export Controls, which prohibit virtually ALL exports, imports and other transactions without a license or other US Government authorization. Individuals applying for online study who are subject to these embargoes will be notified during the application process.