Printer FriendlyDepartment of Mathematical Sciences
Dr. Charles Byrne, 978-934-2447
charles_byrne@uml.edu
This certificate provides professionals in biology, business, computer science, engineering, insurance, medicine, pharmaceutical and other sciences with statistical tools for survival in a highly competitive world marketplace. Experimental design provides methodology for gaining information in an efficient manner. Use of designed experiments in product development is known as off-line quality control. Clinical trials are examples of designed experiments in the medical field. Statistical modeling (linear regression analysis) includes systematic procedures for collecting and analyzing data in order to “predict” a response variable based on one or more “predictor” variables. The techniques covered in design of experiments are special cases of the general approach to statistical modeling. Certificate holders will be equipped with quantitative tools that form the heart of a quality approach to development and improvement of products and services. Most courses are offered in the evening.
Required of Students without Probability/Statistics Background:
92.509 Introduction to Probability and Mathematical Statistics
Required of All Students:
92.591 Statistical Modeling and Linear Regression Analysis
92.593 Experimental Design
Electives:
Electives may be selected from among the courses listed in the graduate school catalog subject to approval by the graduate coordinator.