There is a growing need for qualified statistical analysts
of the ever-increasing amounts of data collected in business, industry, and
government. The Certificates in Applied Statistics program is designed to give students
a strong background in statistical methodology and data analysis in preparation
for opportunities in the work force or for graduate studies.
Students will gain competence in such topics as descriptive
statistics, estimation, confidence intervals, probability and inferential
techniques, simple and multiple regression, analysis of variance, and
more-advanced topics. Students can focus on a particular application area such
as economics, psychology, sociology, geology or environmental science through
the choice of an elective course and the data analysis project.
All undergraduate students in good standing (including non-degree seeking students) will be admitted to the program. For students in the College of Liberal Arts and Sciences, this requires a cumulative grade point average of 2.0 or above. Students must also have some mathematical background, including completion of calculus 1, 2 and 3, as well as linear algebra with a grade of B- (3.0) or better. Students enrolled in the certificate program will be expected to utilize concepts from calculus and linear algebra without the use of technology, e.g., evaluation of limits, derivatives and integrals.