REQUIRED
Summer
Responsible Conduct of Research (EPI 201)
Designing Clinical Research (EPI 202)
Data Collection and Management (EPI 218)
Introduction to Statistical Computing in Clinical Research (BIOSTAT 212)
Introduction to the Science of "Big Data" (BIOSTAT 202)
Fall
Epidemiologic Methods (EPI 203)
Clinical Epidemiology (EPI 204)
Biostatistical Methods for Clinical Research I (BIOSTAT 200)
Introduction to Computing in the R Software Environment (BIOSTAT 213)
TICR Program Seminar for First-Year Master's and Certificate Program Scholars (EPI 220/230)
Winter
Clinical Trials (EPI 205)
Social Determinants of Health and Health Disparities: What Every Researcher Should Know (EPI 222) (1 unit)
Biostatistical Methods for Clinical Research II (BIOSTAT 208)
Machine Learning in R for the Biomedical Sciences: Methods for Prediction, Pattern Recognition, and Data Reduction (BIOSTAT 216)
Spring
Publishing and Presenting Clinical Research (EPI 212)
Systematic Reviews/Meta-Analysis (EPI 214)
Biostatistical Methods for Clinical Research III (BIOSTAT 209)
Year 2
Biostatistical Methods for Clinical Research IV (BIOSTAT 210)
Machine Learning in R for the Biomedical Sciences II: Methods for Prediction, Pattern Recognition, and Data Reduction (under development for Fall 2020)
Master's Seminar II (EPI 221)
ELECTIVES
Conventional Program
Sufficient number of other TICR Program Courses to achieve at least 36 quarter units
Implementation Sciences Track
In addition to the two required courses (EPI 245 and EPI 248), at least two elective courses must be taken from the following:
Designing Individual-Level Implementation Strategies (EPI 246)
Designing Interventions to Change Organizational Behavior (EPI 247)
Translating Evidence Into Policy: Framing Research to Influence Policy (EPI 249)
Qualitative and Mixed Methods Research (EPI 267) (Course website forthcoming)
Data Science in Clinical Research Track
No additional electives are needed beyond the required courses