Data Science Track

Data Science in Clinical Research Track

 

Data science in clinical research is an emerging discipline in response to the explosion of available and complex data in biomedicine and related streams.

 

This program approaches data science as an interdisciplinary field, blending informatics, computer science, biostatistics and epidemiology. It provides broad background and expertise in accessing and manipulating data and forming inferences from data.

 

Coursework in the data science track extends upon MAS program’s foundation of epidemiology and biostatistics to include required and elective courses in advanced data manipulation, prediction, clustering/pattern recognition and data reduction.

 

The data science track of the MAS program distinguishes itself from other data science training programs by providing a solid base of epidemiology and clinical research in the context of human subjects-based health research. Graduates of the data science in clinical research track are prepared to work in academia, industry, or municipal health systems.

 

Scholars completing this track may list "Master of Advanced Studies, Clinical Research with Specialization in Data Science" on their curriculum vitae.

 

Please contact John Kornak, PhD with any questions.

 

Apply to this program by May 31, 2020.

 

 

Sample Course Schedule

Year 1
Summer  Fall Winter Spring

EPI 201  — Responsible Conduct of Research 

EPI 202 — Designing Clinical Research

EPI 218 — Data Collection and Management

BIOSTAT 212 — Introduction to Statistical Computing in Clinical Research

BIOSTAT 202 — Introduction to the Science of "Big Data"

EPI 203 — Epidemiologic Methods (4)

EPI 204 — Clinical Epidemiology (3)

BIOSTAT 200 — Biostatistical Methods for Clinical Research I (3)

BIOSTAT 213 — Introduction to Computing in the R Software Environment

EPI 220/230 — TICR Program Seminar for First-Year and Master's and Certificate Program Scholars (1)

BIOSTAT 208 — Biostatistical Methods for Clinical Research II (3)

BIOSTAT 214 — Data Management and Advanced Programming in R

EPI 220/230 — TICR Program Seminar for First-Year and Master's and Certificate Program Scholars (1)

EPI 212 — Publishing and Presenting Clinical Research

EPI 214 — Systematic Review/Meta-Analysis (1)

BIOSTAT 209 — Biostatistical Methods for Clinical Research III (3)

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

EPI 220/230 — TICR Program Seminar for First-Year and Master's and Certificate Program Scholars (1)

Year 2
Fall Winter Spring

BIOSTAT 210 — Biostatistics for Clinical Research IV (2)

EPI 221 — Master's Seminar II (1)

Machine Learning in R
for the Biomedical Sciences II: Methods for Prediction, Pattern Recognition, and Data Reduction (under development for Fall 2020)

EPI 221 — Master's Seminar II (1)

EPI 221 — Master's Seminar II (1)