The Master's Course in Biostatistical Epidemiology and Health Research (EPIBIS) aims to provide participants with knowledge and epidemiological research methodologies that allow them to autonomously design and develop epidemiological research projects.

Our Ph.D. program has been designed to provide rigorous training in statistical theory and methods, with the goal of enabling students to carry out original research in biostatistics. Graduates of our Ph.D. program are prepared to: Conduct theoretical and methodological research in biostatistics. Employ modern statistical techniques in the analysis of large and/or complex data sets in the health sciences.

Some of us are called to ask the big questions in life. Biostatisticians ask these questions and find the life-changing answers through scientific research and in-depth statistical analysis.

Biostatistics involves the development and application of statistical techniques to scientific research in health-related fields including medicine, nursing, and public health. This program can be completed in a traditional classroom format or entirely online.

Data is everywhere, and our BSc Statistics course combines a well-rounded mathematical core with specialist modules in statistics and data analysis, giving you a solid foundation for practical problem-solving in all sorts of areas. Topics on this course include:

Epidemiology is a scientific discipline of high importance. Finding the distribution of disease, casualty assessment, source identification, control measures and the interplay of the preventive health measures with socio-political, ethical, and scientific factors forms the backbone of this unique science.

The Master of Science (M.S.) degree program prepares highly qualified individuals with advanced research skills to undertake public health research responsibilities. The program provides a basic theoretical foundation for applied research in Public Health and biostatistics research related to measuring and investigating contemporary biomedical and public health problems.

The Master of Science (MS) in Biostatistics degree program provides training in research design, basic statistical theory, data analysis, computer applications, and statistical consultation. Graduates of the program are prepared to assume statistical posts in government, private health agencies, or in health research programs.

Our master and doctoral programs provide students with the necessary skills to apply statistical theory, methods and techniques to the planning, development and evaluation of health programs and problems.

Defend diverse populations' well-being by analyzing geographic, demographic, and biological information to solve critical problems in public health fields and medical and pharmaceutical industries.

A biostatistician is an important member of many research teams. Working in close partnership with researchers across a wide array of scientific disciplines, a biostatistician designs studies and develops statistical tools to extract meaning from complex data.

The Johns Hopkins Department of Biostatistics ScM program is intended for individuals who have demonstrated excellence at the undergraduate level in quantitative or biological sciences and prepares them for a career as a professional statistician. The ScM program typically takes two years, with the first eighteen months spent in didactic coursework and the final six months spent working closely with a departmental faculty member in a master's thesis project.

Our Master’s track in Biostatistics and Data Science provides top-class training in biostatistics and analytic data science techniques. Our coursework offers students a foundation for data analytic careers in the pharmaceutical industry, healthcare, biomedical sciences, academics, and general data analytics.

In recent years data that are collected in clinical research and public health have increased in volume and complexity. This was enhanced even further by the scientific revolution in molecular biology and genetics, and its impact on health and the environment.