Mark Smith, Director, Center for Quality and 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 this program.

## Curriculum

#### Lean Six Sigma, advanced certificate, typical course sequence

Course | Sem. Cr. Hrs. | |
---|---|---|

ISEE-682 | Lean Six Sigma Fundamentals | 3 |

ISEE-660 | Applied Statistical Quality Control | 3 |

Choose one of the following: | 3 | |

ISEE-760 | Design of Experiments | |

STAT-701 | Foundations of Experimental Design | |

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:

- Complete a graduate application.
- Hold a baccalaureate degree (or equivalent) from an accredited university or college.
- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
- Have a minimum cumulative GPA of 3.0 (or equivalent).
- Have a satisfactory background in statistics (at least one course in probability and statistics).
- Submit a current resume or curriculum vitae.
- Submit one letter of recommendation.
- International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 79 (internet-based) is required. A minimum IELTS score of 6.5 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.
- Graduate entrance exams are not required. However, students are welcome to submit scores from the GMAT or the 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 at www.rit.edu/emcs/financialaid/gedt/lean-six-sigma.html.

### 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.