Joseph Voelkel, Graduate Program Director
(585) 475-2231, jgvcqa@rit.edu
Program overview
The advanced certificate in statistical methods for product and process improvement is designed for engineers, scientists, and other professionals who want a solid education in the statistical methods that are most closely related to their work. The program is a subset of courses taken from the MS program in applied statistics.
Curriculum
Semester conversion
Effective fall 2013, RIT will convert its academic calendar from quarters to semesters. Each program and its associated courses have been sent to the New York State Department of Education for approval of the semester plan. For reference, the following charts illustrate the typical course sequence for this program in both quarters and semesters. Students should consult their academic advisers with questions regarding planning and course selection.
New program
Effective fall 2013, a new program in applied statistics will be offered and will take the place of the former program in statistical methods for product and process improvement.
Statistical methods for product and process improvement, advanced certificate, typical course sequence (quarters)
| Course | Qtr. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| 0307-801 | Design of Experiments I | 4 |
| 0307-802 | Design of Experiments II | 4 |
| 0307-841 | Regression Analysis I | 4 |
| Choose three of the following: | 12 | |
| 0307-803 | Design and Analysis of Experiments III | |
| 0307-831 | Multivariate Analysis Applications | |
| 0307-842 | Regression Analysis II | |
| 0307-846 | Statistical Data Mining | |
| 0307-862 | Reliability Statistics I* | |
| 0307-873 | Time Series Analysis | |
| 0307-883 | Quality Engineering by Design | |
| Total Quarter Credit Hours | 24 | |
* The reliability course also requires calculus with integration as a prerequisite.
Applied statistics, advanced certificate, typical course sequence (semesters), effective fall 2013
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CQAS-741 | Regression Analysis | 3 |
| CQAS-701 | Foundations of Experimental Design | 3 |
| Elective 1 | 3 | |
| Elective 2 | 3 | |
| Total Semester Credit Hours | 12 | |
Admission requirements
To be considered for admission to the advanced certificate in statistical methods for product and process improvement, 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
Prerequisites
Students should have basic familiarity with MINITAB statistical software. This may be obtained by self-study; by completion of Data Analysis Using MINITAB, a three-day, noncredit 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.