Department of Mathematical Sciences
Coordinator: Ravi Montenegro, Ph.D (Mathematics), 978-934-2442, firstname.lastname@example.org
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.
This is a 12-credit certificate.
Required of Students without Probability/Statistics Background: (3 credits)
MATH.5090 Introduction to Probability and Mathematical Statistics
Required of All Students: (6 credits)
MATH.5910 Statistical Modeling and Linear Regression Analysis
MATH.5930 Experimental Design
Electives: (6 credits)
Electives may be selected from among the courses listed in the graduate school catalog subject to approval by the graduate coordinator.
Department of Mathematical Science and Graduate School of Education (Interdisciplinary)
Coordinators: Kenneth Levasseur, Ph.D. (Mathematics), 978-934-2414, email@example.com
Regina Panasuk, Ph.D. (Education), 978-934-4616, firstname.lastname@example.org
The Certificate is targeted to both professionals who are interested in teaching, giving them the opportunity to learn what is required to become a math teacher, and to current teachers who wish to deepen their content knowledge. With existing teacher testing and professional development requirements, the certificate provides for further study without long-term commitment.
Note: This program will not provide teacher licensure in mathematics. The program's focus is on the content knowledge that is a prerequisite for mathematics teaching.
Required Courses: (6 credits)
EDUC.5350 Mathematics for Teachers II
MATH.5200 Mathematical Problem Solving
Electives: (Choose two 3 credit courses for a total of 6 credits)
MATH.5000 Discrete Structures
MATH.5030 Mathematical Analysis
MATH.5100 Computers and Calculators in the Classroom
MATH.5130 Number Theory
MATH.5210 Abstract Algebra I
MATH.5230 Linear Algebra
MATH.5350 History of Mathematics
MATH.5500 Mathematical Modeling
MATH.5700 Probability and Statistics