Courses
Conventional Program
Implementation Sciences Track
Data Science in Clinical Research Track
Year 1      

REQUIRED

     

     

Summer

     

Responsible Conduct of Research (EPI 201)

X X X

Designing Clinical Research (EPI 202)

X X X

Data Collection and Management (EPI 218)

X   X

Introduction to Statistical Computing in Clinical Research (BIOSTAT 212)

X X X

Introduction to the Science of "Big Data" (BIOSTAT 202)

  X

Introduction to Computing in the R Software Environment (BIOSTAT 213)

    X
       

Fall

     

Epidemiologic Methods (EPI 203)

X X X

Clinical Epidemiology (EPI 204)

             X X X

Biostatistical Methods for Clinical Research I (BIOSTAT 200)

X X X

Programming for Health Data Science in R II (BIOSTAT 214)

X

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

X X X
       

Winter

     

Clinical Trials (EPI 205)

X X  

Social Determinants of Health and Health Disparities: What Every Researcher Should Know (EPI 222) (1 unit)

X X X

Biostatistical Methods for Clinical Research II (BIOSTAT 208)

X X X

Machine Learning in R for the Biomedical Sciences: Methods for Prediction, Pattern Recognition, and Data Reduction (BIOSTAT 216)

    X

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

X X X
       

Spring

     

Publishing and Presenting Clinical Research (EPI 212)

X X X

Systematic Reviews/Meta-Analysis (EPI 214)

X X  

Biostatistical Methods for Clinical Research III (BIOSTAT 209)

X X X

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

X X X
       

Year 2

     

Fall

     

Biostatistical Methods for Clinical Research IV (BIOSTAT 210)

X X

Master's Seminar II (EPI 221)

X X X
       

Winter

     

Master's Seminar II (EPI 221)

X X X
       

Spring

     

Master's Seminar II (EPI 221)

X X X
       
TOTAL REQUIRED CREDITS 32 33 41.5

 

 

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:

 

 

 
Study Designs for Intervention Research in Real-World Settings (EPI 241)

     
Program Evaluation in Clinical and Public Health Settings (EPI 242)

     

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