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
