Online Study
Statistical Methods for Product and Process Improvement
Program Overview
This advanced certificate is designed for engineers, scientists, and similar professionals who want a sound education in statistical methods but who wish to finish a program in a shorter time period than that for the MS degree in applied statistics. Graduates of this program will be able to characterize variation in their processes through ANOVA; model processes through regression; and optimize processes through experimental design. Based on electives, graduates may also be able to construct robust processes and products, perform advanced experimental design techniques, create time series models, study multivariate relationships, or investigate reliability of products.
Credit earned through this certificate may be applied toward the MS in applied statistics.
Curriculum Review
Requirements
1. Basic familiarity with statistical software:
Students should have basic familiarity with MINITAB, or equivalent, 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 0307-742 Statistical Computing, which covers both SAS and MINITAB software.
2. Six courses:
Three core courses:
0307-801 and 802 Design of Experiments I & II
0307-841 Regression Analysis I
Three elective courses, selected from this list with the help of an advisor:
0307-803 Design of Experiments III
0307-842 Regression Analysis II
0307-883 Quality Engineering by Design
0307-873 Time Series Analysis
0307-862 Reliability Statistics I
0307-831 Multivariate Analysis Applications
0307-782 Quality Engineering
The reliability course also requires calculus with integration as a prerequisite.
3. Other requirements:The candidate must attain an overall average program grade of 3.0 (B) for graduation - see the department secretary for more details.
Admission Requirements
Admission to the statistical methods for product and process improvement advanced certificate program will be granted to qualified holders of a baccalaureate degree from an accredited college or university who have an acceptable GPA and mathematics credits, including acceptable grades in university-level calculus, and acceptable probability and statistics college credits, equivalent to 0307-711 and 712. Applicants who fail to meet these requirements will be required to complete these prerequisites prior to matriculation in the graduate program.
Entrance exams are not required. However, international students whose native language is not English must have a TOEFL score of at least 550 (or a computer-based TOEFL of at least 213). Courses are offered on an open-enrollment basis, which supports RIT’s commitment to recurrent education.