Skip to Main Content

Biostatistics

The Department of Biostatistics develops quantitative methodologies and tools for rigorous scientific research to solve the world’s most challenging problems in biology, medicine and public health. Our view of biostatistics encompasses all aspects of the scientific method, from study design and data collection to computation, statistical analysis and interpretation of findings.

Department faculty are leaders in the development and application of statistical methods in genetics/genomics and bioinformatics, epidemiology, causal inference, clinical trials, spatial/spatiotemporal data, high-dimensional analysis, biomedical imaging and statistical computation.

Division of Health Informatics

The Division of Health Informatics is invested in training and research around issues surrounding big data acquisition and its management in health care as well as biomedical and public health research. The science of health informatics drives innovation-defining future approaches to information and knowledge management in biomedical research, clinical care and public health.

The department offers four degree programs:

  • The MPH degree emphasizes application of biostatistics and provides training for a career in public health. Students apply to this program through SOPHAS.
  • The MS degree in biostatistics emphasizes the theoretical mastery of biostatistical skills. It is designed to train professional statisticians to work in the technology industry, biomedical research, the pharmaceutical industry, and healthcare organizations. Students choose between the Biostatistics Standard pathway or the Implementation and Prevention Science Methods pathway. The implementation science pathway examines how evidence-based programs work in the real world. Implementation science and implementation strategies can be used to bridge the divide between research and practice—and bring programs that work to communities in need. This high impact program promotes the adoption and integration of evidence-based practices, interventions, and policies into routine health care and public health settings to improve population health outcomes. While implementation science is a biostatistics specialization, it is, by its nature, interdisciplinary. Students apply to the MS program through the Yale Graduate School of Arts and Sciences.
  • The MS degree in health informatics features core courses from such areas as information sciences, clinical informatics, clinical research informatics, consumer health and population health informatics, data science and more broadly health policy, social and behavioral science, biostatistics and epidemiology.
  • The PhD degree provides advanced training in statistical modeling, inference, and computation in order to meet the challenges of modern biomedical science. Students can choose the Biostatistics Standard pathway which emphasizes theoretical mastery of biostatistical skills. To bridge the divide between research and practice students have the opportunity choose our new pathway in Implementation and Prevention Science Methods. This interdisciplinary curriculum promotes the adoption and integration of evidence-based practices, interventions and policies into health care and public health settings to improve health outcomes. Students apply to the PhD program through the Yale Graduate School of Arts and Sciences.