ATCR Certificate Program
 

REQUIRED COURSES

Summer

Responsible Conduct of Research (EPI 201)

Designing Clinical Research (EPI 202)

Introduction to Statistical Computing in Clinical Research (BIOSTAT 212)

Database Management Systems for Clinical Research (EPI 218)

 

Fall

Epidemiologic Methods (EPI 203)

Clinical Epidemiology (EPI 204)

Biostatistical Methods for Clinical Research I (BIOSTAT 200)

TICR Program Seminar for First-Year Master's and Certificate Program Scholars (EPI 220/230)

 

Winter

Clinical Trials (EPI 205)

Biostatistical Methods for Clinical Research II (BIOSTAT 208)

TICR Program Seminar for First-Year Master's and Certificate Program Scholars (EPI 220/230)

 

Spring

Publishing and Presenting Clinical Research (EPI 212)

Systematic Reviews/Meta-Analysis (EPI 214)

Biostatistical Methods for Clinical Research III (BIOSTAT 209)

TICR Program Seminar for First-Year Master's and Certificate Program Scholars (EPI 220/230)

 

ELECTIVE COURSES

Fall

Introduction to Implementation Science Theory and Design (EPI 245)

Community Engaged Research (EPI 248)

Demographic Methods for Health (EPI 263)

Spatial Epidemiology (EPI 264)

 

Winter

Epidemiologic Methods II (EPI 207)

Epidemiology of Aging (EPI 210)

Decision and Cost Effectiveness Analysis (EPI 213)

Molecular and Genetic Epidemiology I (EPI 217)

Social Determinants of Health and Health Disparities: What Every Researcher Should Know (EPI 222)

Translating Evidence Into Practice: Individual-Centered Implementation Strategies (EPI 246)

Translating Evidence Into Practice: System-Centered Implemenation Strategies (EPI 247)

Cancer Epidemiology (EPI 252)

Grant Writing Workshop (EPI 258)

Neglected Tropical Diseases (EPI 261)

Mathematical Modeling of Infectious Diseases (EPI 266)

Introduction to Computing in R (BIOSTAT 213)

 

Spring

Advanced Concepts and Methods in Research on Health Disparities and the Social Determinants of Health (EPI 223)
Epidemiologic Approaches to Implementation Science (EPI 239)
Program Evaluation in Clinical and Public Health Settings (EPI 242)
Epidemiologic Methods III (EPI 265)
Advanced Approaches to the Analysis of Observational Data (BIOSTAT 215)
Machine Learning in R for the Biomedical Sciences: Methods for Prediction, Pattern Recognition, and Data Reduction (BIOSTAT 216)