Graduate Certificate Course Requirement

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

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