MS students in Biostatistics receive training in the theory and application of statistical methodology in biomedical science.
The science of health informatics drives innovation-defining future approaches to information and knowledge management in biomedical research, clinical care, and public health. Health informatics comprises applied research and the practice of informatics across clinical and public health domains. Informatics researchers develop, introduce, and evaluate new biomedically motivated methods in areas as diverse as data mining, natural language or text processing, cognitive science, human-computer interaction, decision support, databases, and algorithms for analyzing large amounts of data generated in public health, clinical research, and genomics/proteomics.
Doctoral students in biostatistics receive advanced training in statistical modeling, inference and computation in order to meet the challenges of modern biomedical science.