The Research Master program in Health Sciences aims to provide students with a thorough understanding of methods in either clinical or public health research. Specializations include clinical epidemiology, epidemiology, public health epidemiology, genetic and molecular epidemiology, and health economic analysis. After completion, candidates will have the knowledge, understanding, and skills to propose state-of-the-art studies, write excellent study protocols, perform the research, analyse the data using modern statistical techniques, make defensible causal inferences, come to justified conclusions, and write outstanding research papers. Depending on the choice of specialization, the candidate will focus on for example clinical trials, population studies, public health interventions, or modelling studies.
This program is NVAO accredited. For more information, visit the Netherlands-Flemish Accreditation Organisation (NVAO) at www.nvao.net.
Students acquire the following competencies:
- Ability to formulate a clinical or public health problem and translate it into a scientific question.
- Ability to perform an extensive study of the literature concerning a problem.
- Ability to translate a scientific question into a research protocol.
- Acquisition of quantitative skills.
- Ability to make causal inferences.
- Ability to critically appraise published research.
- Ability to conduct the research, collect and analyse data, and draw conclusions.
- Ability to write a Master’s thesis, including the objective(s) of the investigation, a summary of the literature, materials, methods, results, discussion, and conclusions of the research project and to present these findings at scientific meetings. Publication of the research findings in an international peer-reviewed journal is encouraged.
The degree prepares you for a career in international medical research or for executive or advisory positions in clinical medicine, public health, pharmaceutical research, or health policy.
Are you eligible?
You should fit the following criteria:
- You have a Bachelor’s degree or a relevant Master’s degree from a discipline in or related to clinical medicine or public health (medical doctor, health sciences, nutrition, (medical) biology, chemistry, pharmacy, environmental sciences, human movement sciences, sociology, economics, psychology, etc.) or a broad Bachelor’s education with sufficient basic subjects in the above mentioned disciplines.
- You have a good working command of the English language, both oral and written.
Specialization Biostatistics contents
Professor Dimitris Rizopoulos, Ph.D.
In recent years data that are collected in clinical research and public health have increased in volume and complexity. This enhanced even further by the scientific revolution in molecular biology and genetics, and its impact on health and the environment. In this context, it is of paramount importance that data are analyzed with sound statistical techniques that respect their nature and adequately answer the scientific questions of interest. This has lead in an increased need for well-trained biostatisticians capable of handling the data analysis challenges of the modern era.
The aim of the NIHES Specialization in Biostatistics is to keep abreast of such evolutions and equip the future generation of researchers with modern and essential data science tools. This specialization will combine a solid study of modern statistical methodology with up-to-date information on topics such as study design, clinical trials, public health, longitudinal data analysis, survival analysis, causal inference, and tools for reproducible research. The courses are taught by an international faculty of world-renowned statisticians and epidemiologists from the Netherlands, Belgium, and the United States. These include among others, past and current Editors of flagship biostatistics journals, and past presidents of major international biostatistics societies.
The specialization is aimed at ambitious students with a relevant Bachelor degree with a strong motivation in data science for biomedical applications.