Graduate Certificate for Applied Statistics

Graduate Certificate for 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 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.??

The certificate requires 12 credits of coursework split across 4 courses. 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. The certificate requires 2 courses related to statistical theory and regression, 1 statistics elective, and 1 broader elective. Students must complete the following coursework:

Core courses (6 credit hours)

MATH 5320 Statistical Inference

MATH 5387 Applied Regression Analysis

One statistics course (3 credit hours) from:

  • · MATH 5337 Introduction to Statistical and Machine Learning
  • · MATH 5388 Machine Learning Methods
  • · MATH 5394 Experimental Designs
  • · MATH 6380 Stochastic Processes
  • · MATH 6384 Spatial Data Analysis
  • · MATH 6388 Statistical and Machine Learning
  • · MATH 7393 Bayesian Statistics
  • · MATH 7384 Mathematical Probability
  • · MATH 7826 Topics in Probability and Statistics
  • · Any additional MATH course pre-approved by the Director of Statistical Programs.

One additional elective (3 credit hours) from:

  • ·Any statistics course in the Department of Mathematical and Statistical Sciences at the 5000 level or higher (must be pre-approved by the Director of Statistical Programs). MATH5830 cannot apply for the certificate.
  • · ECON 5150 Economic Forecasting
  • · ECON 5813 Econometrics I
  • · ECON 5823 Econometrics II
  • · ENVS 5600 Applied Statistics for the Natural Sciences
  • · GEOL 5770 Applied Statistics for the Natural Sciences
  • · SOCY 5183 Seminar: Quantitative Data Analysis
  • · An equivalent course pre-approved by the Director of Statistical Programs