Building for the Future of Biomedical Research: A Graduate Curriculum in Clinical Data Science

Music City Center 

The purpose of this presentation will be to provide a template for a graduate level program in clinical data science. Drawing upon the historically influential disciplines of statistics and computer science, this program is designed to be responsive to the drastically changing landscape of biomedical research today by offering instruction in the measurement, acquisition, care, treatment, and inferencing of clinical research data. The program contains a series of four core courses (Introduction, Roles & Responsibilities, Design & Implementation, Practicum), five required research courses (Biostatistics, Medical Informatics, Regulatory Science, Clinical Medicine, Clinical Research Ethics), and a list of potential electives. Core features of this 33-hour graduate program include coursework in clinical research ethics, a required, full-time internship in an industry-leading research setting, and the fact that the program is based upon fundamental theories of educational theory and practice.

Clinical data science

Data science

Biomedical Research

Regulatory Science

Curriculum 

Section on Teaching of Statistics in the Health Sciences