Applied Statistics Graduate Certificate Course Lists

For the most current lists of approved courses in these categories, please consult the Data Scholarship Program.

Mathematical Statistics

HES 5963Statistical Applications in Health and Exercise Science3
MATH 4753Applied Statistical Methods (taken for graduate credit)3
MATH 5743Introduction to Mathematical Statistics3

Intermediate Statistics

BIOL 5943Multivariate Analysis3
ECON 4223Econometric Analysis (taken for graduate credit)3
COMM 5033Advanced Statistics3
MATH 4753Applied Statistical Methods (taken for graduate credit)3
MATH 5773Applied Regression Analysis3
HES 5903Sports Performance Analytics3
P SC 5933Intermediate Analysis of Political Data3
PSY 5013Psychological Statistics II3
SOC 5483Advanced Regression Analysis3

Statistics and Computing

Social Science Statistics
ECON 5023Statistics for Decision Making3
ECON 5033Managerial Economics I3
ECON 5043Managerial Economics II3
ECON 5213Advanced Econometrics3
ECON 5243Econometrics II3
ECON 5253Data Science for Economists3
ECON 5970Special Topics/Seminar (topic: Bayesian Econometrics)3
ECON 6343Econometrics III3
SOC 5293Advanced Methods of Social Research3
SOC 5683Categorical, Panel, and Advanced Statistical Analyses3
SOC 5823Social Demography3
P SC 5913Introduction to Analysis of Political and Administrative Data3
P SC 5940Advanced Research Methods: Special Topics (topic: Maximum Likelihood Estimation)3
PSY 6013Factor Analysis and Structural Equation Models3
PSY 6023Statistical Models of Tests Scores3
PSY 6063Seminar in Quantitative Psychology (topic: Multivariate Statistics)3
PSY 6063Seminar in Quantitative Psychology (topic: Multilevel Modeling)3
PSY 6063Seminar in Quantitative Psychology (topic: Advanced Structural Equation Modeling)3
PSY 6073Experimental Design for Psychology3
Natural & Applied Sciences Statistics
ASTR 5970Special Topics/Seminar (topic: Machine Learning)3
BIOL 4913Quantitative Biology (taken for graduate credit)3
BIOL 5943Multivariate Analysis3
BIOL 5970Special Topics in Biology (topic: Bayesian Models)3
GEOG 5113Quantitative Methods in Geographic and Environmental Research3
GIS 5923Spatial Statistics3
HES 5283Sports Financial and Market Analytics3
HES 5313Athlete Tracking and Monitoring in Sports3
HES 5903Sports Performance Analytics3
HES 5953Research Methods in Health and Exercise Science3
HES 5963Statistical Applications in Health and Exercise Science3
METR 5313Statistical Meteorology3
METR 5433Advanced Statistical Meteorology3
Math & Engineering Statistics
C S 5033Machine Learning Fundamentals3
DSA/ISE 5013Fundamentals of Engineering Statistical Analysis3
DSA 5203Time Series Analysis3
DSA 5403Bayesian Statistics3
MATH 4733Mathematical Theory of Probability (taken for graduate credit)3
MATH 4753Applied Statistical Methods (taken for graduate credit)3
MATH 5173Advanced Numerical Analysis I3
MATH 5183Advanced Numerical Analysis II3
MATH 5763Introduction to Stochastic Processes3
MATH 5773Applied Regression Analysis3
MATH 5793Advanced Applied Statistics3
MATH 5803Topics in Mathematics (topic: Bayesian Statistics)3
Computing Skills
BIOL 5923Programming in R for Biology3
CHEM 5280Practicum in Biochemistry1-2
C S 5293Text Analytics3
C S 5593Data Mining3
DSA/ISE 5103Intelligent Data Analytics3
GIS 5003Spatial Data Management for GIS Professionals3
GRAD 5203EOS3 Data Analytics3
HES 5903Sports Performance Analytics3
LIS 5613Dynamic Web Development3
LIS 5623Advanced Data Analytics3
LIS 5643Introduction to Data Analytics3
LIS 5970Special Topics/Seminar (topic: Data Stewardship)3
MBIO/PBIO 5783Introduction to Python Programming for Data Analytics3
METR 5330Information Technology Skills for Meteorology3

Interdisciplinary Applied Statistics

Statistical Consulting, Internship, Mentored research experience with someone outside of your research area, or class outside of research area that includes a project. E.g., Applying an atypical method to your own research or applying a method from your discipline to a different problem/data set. Interdisciplinary experiences are highly encouraged.
Must produce a report that includes the results and a discussion of decision-making, ethics, biases, and limitations that are part of the data set/study.

DSP 5633Data Analytics and Applied Statistics Internship3
CAS 5970Special Topics/Seminar1-3
CAS 5990Independent Study (with faculty outside of your discipline, with an approved, applied statistical component)1-3
Interdisciplinary Advanced Statistics Elective Course outside of student’s research area that includes a written project 1
1

Courses listed in the Advanced Statistics Electives list may be used. Selected course must include a DSP-preapproved written project.