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Lean Six Sigma Adv. Cert.

Mark Smith, Director, Center for Quality & Applied Statistics
(585) 475-7102, mark.smith@rit.edu

Rebecca Ziebarth, Program Coordinator
(585) 475-2033, razeqa@rit.edu

Program overview

Lean Six Sigma focuses on the use of the DMAIC (define, measure, analyze, improve, and control) process 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 looking to increase their effectiveness or enhance their qualifications to broaden their careers. Industry certifications such as Lean Six Sigma Green Belt and Black Belt are not the focus of this academic program, but students interested in obtaining these credentials are well prepared to do so after completing courses in program.

Curriculum

Lean Six Sigma, advanced certificate, typical course sequence

Course Sem. Cr. Hrs.
ISEE-682 Lean Six Sigma Fundamentals 3
ISEE 660 or STAT-621 Applied Statistical Quality Control 3
ISEE-760 or STAT-670 Design of Experiments 3
Elective   3
Total Semester Credit Hours 12

 

Admission requirements

To be considered for admission to the advanced certificate in Lean Six Sigma, candidates must fulfill the following requirements:

  • Have a baccalaureate degree from an accredited institution,
  • Have a minimum GPA of 3.0,
  • Have a satisfactory background in statistics (at least one course in probability and statistics),
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
  • Submit one letter of recommendation,
  • Submit a current resume, and 
  • Complete a graduate application.

International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL). A minimum score of 80 (Internet-based) is required.  Scores from the International English Testing Language System (IELTS) are accepted in place of the TOEFL exam. The minimum acceptable score is 6.5. The TOEFL or IELTS requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions. For additional information on the IELTS, visit www.ielts.org.

Graduate entrance exams are not required, however, students are welcome to submit scores from the Graduate Management Admission Test (GMAT) or the Graduate Record Exam (GRE) to support their application for admission.

Additional information

Prerequisites

Students should have a basic familiarity with MINITAB statistical software. This may be obtained by self-study or through a short course.

Grades

Students must maintain an overall program GPA of 3.0 (B) to qualify for graduation.

Format

Classes are available online and on campus.

Gainful employment

Information regarding costs and the U.S. Department of Labor’s Standard Occupational Classification (SOC) code and occupational profiles for this program can be viewed on the ED Gainful Employment Disclosure Template.




Effective fall 2013, RIT converted its academic calendar from quarters to semesters.
View this program's information from the retired quarter calendar

Quarter Curriculum - For Reference Only

Effective fall 2013, RIT converted its academic calendar from quarters to semesters. The following content has been made available as reference only. Currently matriculated students who began their academic programs in quarters should consult their academic adviser for guidance and course selection.
 

Program overview

The advanced certificate in statistical quality is aimed primarily at quality managers, quality engineers, or those who aspire to such positions.

Curriculum

Students have two options in which they may complete the course work for the advanced certificate.

The courses in this advanced certificate program may be applied to a graduate program at a later date. The Design of Experiments for Engineers and Scientists (0307-770) course is a 4 quarter credit hourcourse. It is not offered online and may not be applied toward the MS degree in applied statistics or the advanced certificate in statistical methods for product and process improvement.

Statistical quality (option 1), advanced certificate, typical course sequence (quarters)

Course Qtr. Cr. Hrs.
Choose six of the following courses: 24
   0307-721    Statistical Process Control  
   0307-731    Statistical Acceptance Control  
   0307-772    Applied Survey Design and Analysis  
   0307-781    Quality Management  
   0307-782    Quality Engineering  
   0307-801    Design of Experiments I  
   0307-802    Design of Experiments II  
Total Quarter Credit Hours 24

Statistical quality (option 2), advanced certificate, typical course sequence (quarters)

Course Qtr. Cr. Hrs.
0307-770 Design of Experiments for Engineers and Scientists 4
0307-721 Statistical Process Control 4
0307-731 Statistical Acceptance Control 4
0307-772 Applied Survey Design and Analysis 4
0307-781 Quality Management 4
0307-782 Quality Engineering 4
Total Quarter Credit Hours 24

Admission requirements

To be considered for admission to the advanced certificate in statistical quality, candidates must fulfill the following requirements:

  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
  • Submit two letters of recommendation,
  • Submit a current resume, and 
  • Complete a graduate application.

Additional information

Six Sigma Black Belt

Students may earn a Six-Sigma Black Belt after obtaining either the advanced certificate in statistical quality or the MS in applied statistics. Students should ensure an appropriate course selection by reviewing the black belt requirements on the center’s website. In addition, students will complete an additional qualifying project.

Prerequisites

Students should have basic familiarity with MINITAB statistical software. This may be obtained by self-study; completion of Data Analysis Using MINITAB, a three-day, non-credit-bearing course in data analysis and statistical computing; through similar MINITAB short courses; or through Statistical Computing (0307-742), which covers both SAS and MINITAB software.