Graduate Certificate Applied Statistics
There is a growing need for qualified statistical analysts of the ever-increasing amounts of data collected in business, industry, and government. The Certificate in Applied Statistics program is designed to give students a strong background in statistical methodology and data analysis in preparation for opportunities in the workforce 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.
The certificate requires 12 credits of coursework split across 4 courses. The certificate requires 2 courses related to statistical theory and regression, 1 statistics elective, and 1 other elective. Students can complete the certificate in 1-2 years depending on their knowledge coming into the program and the number of courses they take each semester.
These degree requirements are subject to periodic revision by the academic department, and the College of Liberal Arts and Sciences reserves the right to make exceptions and substitutions as judged necessary in individual cases. Therefore, the College strongly urges students to consult regularly with their Applied Statistics faculty advisor to confirm the best plans of study before finalizing them.
Graduate Education Policies and Procedures apply to this program.
There is a growing need for qualified statistical analysts of the ever-increasing amounts of data collected in business, industry, and government. The Certificate in Applied Statistics program is designed to give students a strong background in statistical methodology and data analysis in preparation for opportunities in the workforce 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.
The certificate requires 12 credits of coursework split across 4 courses. The certificate requires 2 courses related to statistical theory and regression, 1 statistics elective, and 1 other elective. Students can complete the certificate in 1-2 years depending on their knowledge coming into the program and the number of courses they take each semester.
These degree requirements are subject to periodic revision by the academic department, and the College of Liberal Arts and Sciences reserves the right to make exceptions and substitutions as judged necessary in individual cases. Therefore, the College strongly urges students to consult regularly with their Applied Statistics faculty advisor to confirm the best plans of study before finalizing them.
