Degree Requirements
The following requirements are in addition to, or further elaborate upon, those requirements outlined in The Graduate School Policy Guide.
Master's
Required Courses: All Concentrations (6 units)
Additional Required Courses, Selectives and Electives
Concentration in Population Health Analytics
Course List
Course |
Title |
| Data Management and Analysis in SAS |
| Design, Conduct and Analysis of Clinical Trials |
| Advanced Epidemiology |
| Statistical Consulting |
| Clinical Database Management |
| Writing and Peer Reviewing for Scientific Publication |
|
| Infection Disease Epidemiology and Prevention |
| Cardiovascular Disease Epidemiology |
| Cancer Epidemiology |
|
| Introduction to Probability Theory |
| Statistical Inference |
| Data Science for Clinical, Translational, and Population Researchers |
| Independent Study |
| Advanced Biostatistics |
| Statistical Methods for Missing Data |
| Statistical Genetics and Genomic Data Analysis |
| Behavior, Society & Health |
| Disease Prevention and Health Promotion: Principles and Application |
Concentration in Statistical Bioinformatics
Course List
Course |
Title |
| Introduction to Probability Theory |
| Statistical Inference |
| Advanced Biostatistics |
| Statistical Genetics and Genomic Data Analysis |
|
| Data Management and Analysis in SAS |
| Health and Biomedical Informatics Methods I |
|
| Data Science for Clinical, Translational, and Population Researchers |
| Network Data Analysis |
| Health Biomedical Informatics Methods II |
|
| Design, Conduct and Analysis of Clinical Trials |
| Independent Study |
| Survival Data Analysis |
| Statistical Methods for Missing Data |
| Statistical Consulting |
| Clinical Database Management |
Concentration in Statistical Methods and Practice
Course List
Course |
Title |
|
| Introduction to Probability Theory |
| Data Management and Analysis in SAS |
| Statistical Inference |
| Design, Conduct and Analysis of Clinical Trials |
| Advanced Biostatistics |
| Survival Data Analysis |
| Statistical Consulting |
|
| Data Science for Clinical, Translational, and Population Researchers |
| Independent Study |
| Statistical Methods for Missing Data |
| Statistical Genetics and Genomic Data Analysis |
| Clinical Database Management |