Where Clinical Research Meets Real-World Data
The Master of Science (MS) Program in Clinical Data Science is a rigorous, fast-paced program that prepares students to work at the intersection of biostatistics, biomedical informatics, clinical medicine, and regulatory science. Students gain deep insight into the knowledge base and skills of managing complex data sets within the clinical research space and will learn to contribute in a deep and meaningful way to the design, conduct, and execution of clinical research studies. Two tracks are available to students, a rigorous, past-paced 12-month program and a part-time program in which students take 6 credit hours per term.
As the world’s first Clinical Data Science MS Program, students learn from leaders in biostatistics, biomedical informatics, clinical medicine, and regulatory science, while gaining exposure to an academic medical center environment and industry-leading practicum placements.
Program Mission and Objectives
The program is designed to train developing scientists who can:
- Manage diverse clinical research data types and methods
- Integrate knowledge across multiple therapeutic areas and disciplines
- Navigate regulatory and ethical issues and research requirements
- Communicate and lead the data-related components of a multidisciplinary research team
Core Competencies Developed
Students graduate with competency in:
- Scientific Understanding
- Knowledge and Management of Research Data
- Regulatory Science
- Leadership
- Professional Communication
