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Programme overview (based on your choices)
Majors
Erasmus Summer Programme (ESP)
For more information about the Erasmus Summer Programme (ESP), please go to:
www.erasmussummerprogramme.nlMaster
Master of Science in Health Sciences | 1 Year | FULL-TIME | 70 EC points
For whom?
This MSc programme focuses on training students who are already educated in research methodology, but wish to take a step further in developing a successful career in health science research. This programme is also interesting if you want to enhance your chances of pursuing a PhD.
Read MoreMaster of Science in Health Sciences | 2(+)years | Part-time | 70 EC points
For whom?
This world-class programme is ideal for the working health professional, who wishes to take a step further in developing a successful career in health science research. The programme can be fully customized to fulfill your professional and personal aspirations and fit your busy schedule.
Read MoreResearch Master in Health Sciences | 2 Years | FULL-TIME | 120 EC points
For whom?
Just graduated with a Bachelor Degree in clinical, public health or biomedical sciences and want to start making substantial contributions to future developments in medicine as a researcher? Then this Research Master is for you! With a wide range of majors and guidance from some of the greatest minds in these fields, you will be well on your way to a very successful research career.
If you are a medical student of Erasmus MC, we have accustomed the Research Master programme to your Bachelor and Master in Medicine.
Read MoreCourses
07 May 2026 - 13 May 2026
Bayesian Methods for Clinical Trials [EL037]
About this course
The course consists of two parts.
In Part I, the general principles of setting up and conducting clinical trials will be reviewed. A focus will be on randomized clinical trials. Both general interventions as well as drug developments will be treated. The Bayesian methodology will be introduced and the use of Bayesian software (JAGS) will be exemplified. Finally, the classical (frequentist) and the Bayesian approach will be contrasted.
In Part II, several topics in clinical trials will be discussed from a Bayesian perspective. The set up, conduct and analysis of (some of) the following types of clinical trials will be exemplified (in a Bayesian manner):
• Sample size & power calculations
• Monitoring a sequential trial and multiple testing issues
• Adaptive and platform trials
• Bridging studies
• Dose finding studies
• Studies in oncology
• Pharmacodynamic and pharmacokinetic studies
• The incorporation of historical information and real world data for the analysis of orphan studies
• Meta-analyses and network meta-analyses
In this part JAGS will be again used as Bayesian software, but in addition several dedicated R packages.
References (selection of)
1. Lesaffre, E. and Lawson, A., Bayesian Biostatistics, 2012, John Wiley & Sons, West Sussex, UK
2. Lesaffre, E,, Baio, G. and Boulanger, B. (eds), Bayesian Methods in Pharmaceutical Research, 2020, Chapman & Hall/CRC, Boca Raton, US
3. Yang, H. and Novick, S. J., Bayesian Analysis with R for Drug Development. Concepts, Algorithms and Case Studies, 2019, CRC Taylor & Francis Group, Boca Raton, US
4. Holmgren, E.B., Theory of Drug Development, 2014, CRC Taylor & Francis Group, Boca Raton, US
18 May 2026 - 28 May 2026
Sustainable Public Health [EL025]
About this course
In the ‘2030 Agenda for sustainable development’, the United Nations described 17 Sustainable Development Goals (SDGs), including interrelated goals on poverty reduction, population health, the living environment, and climate change. Achieving these goals requires multidisciplinary and international collaboration, in which public health experts also need to play an important role. This course is focussed on three important questions: What is the evidence for these connections, which public health interventions can synergistically work towards a sustainable future, and how to advise local or national governments best about this? Although priorities differ between countries, these questions are universal.
The programme consists of ‘capita selected lectures’, lectures and training in valorisation, and a group exercise.
See 'how to apply' for the course registration period.
Read More18 May 2026 - 22 May 2026
Psychiatric Epidemiology [EL008]
About this course
This four-day course focuses on the principles and practice of psychiatric epidemiology. Basic concepts and issues that are specific to psychiatric epidemiology are covered. We will cover a range of psychiatric disorders such as depression, anxiety and sleep disorders and research approaches such as genetics and imaging to illustrate concepts and practice of psychiatric epidemiology. These topics will be covered by speakers from across the field.
See 'how to apply' for the course registration period.
27 May 2026 - 29 May 2026
Quality of Life Measurement [EL023]
About this course
In recent years, the patient's assessment of quality of life has developed to an important outcome measure in epidemiology and health services research. Moreover, quality of life measures are increasingly used as criteria in reimbursement policy, most notably in QALY-analysis.
The aim of the course is to provide the participants first, with a review of the instruments currently available; Second, participants are provided with the knowledge required to select measures of quality of life that are both valid and sensitive for the research objectives of the participants;
Third, participants will acquire the knowledge and practical skills necessary to adjust standard measures of quality of life instruments for their specific disease area’s, with a special focus on reimbursement. The programme consists of presentations, exercises and demonstrations of practical issues. Participants are invited to email their specific interest at forehand, and these topic will be discussed during the course.
Programme:
- Background of ‘health status' and ‘quality of life’.
- Main principles of construction of a quality of life questionnaire.
- Available instruments.
Application.
- Adaptation instruments for specific research questions: increase sensitivity.
- QALY-analysis. Practical and ethical value of measuring quality of life in a reimbursement setting.
See 'how to apply' for the course registration period.
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