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Programme overview (based on your choices)

Revised Curriculum

Programmes & specializations videos

Postgraduate Programme | 1 Year | FULL-TIME

For whom?

Consider one additional year of research training after your Master’s, if you’d like to acquire more research experience or increase your chances of qualifying for a PhD research project.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Genomic & Molecular Epidemiology
  • Erasmus Summer Programme (ESP)

    For more information about the Erasmus Summer Programme (ESP), please go to:

    www.erasmussummerprogramme.nl

    Master

    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.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Medical Psychology
  • Biostatistics
  • Health Decision Sciences
  • Genomic & Molecular Epidemiology
  • Research Master in Clinical Research | 2 Years | FULL-TIME | 120 EC points

    For whom?

    This Research Master programme provides a unique opportunity for ambitious students with a Bachelor degree in Medicine or Biomedical Sciences.There is a great need for clinicians who can combine patient care and research. This Research Master programme helps medical students to become clinical investigators and pursue an academic career simultaneously.

    If you are a medical student of Erasmus MC, we have accustomed the Research Master programme to your Master in Medicine.

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    Research 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 specialisations 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.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Health Economic Analysis
  • Medical Psychology
  • Biostatistics
  • Health Decision Sciences
  • Genomic & Molecular Epidemiology
  • Study Towards a PhD

    Postgraduate Programme | 1 Year | FULL-TIME

    For whom?

    Consider one additional year of research training after your Master’s, if you’d like to acquire more research experience or increase your chances of qualifying for a PhD research project.

    Read More
  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Genomic & Molecular Epidemiology
  • Executive education

    Executive Master 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.

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  • Epidemiology
  • Clinical Epidemiology
  • Public Health Epidemiology
  • Medical Psychology
  • Biostatistics
  • Health Decision Sciences
  • Genomic & Molecular Epidemiology
  • Courses

    01 Nov 2021 - 12 Nov 2021
    Clinical Epidemiology [CK040]

    About this course

    Research questions in clinical epidemiology originate from clinical practice. Caring for patients commonly triggers the research-minded clinician to question his/her knowledge and decisions. Questions may revolve around risk factors, prevention, diagnosis, prognosis and/or interventions leading to research studies. Results from clinical epidemiological research are used in patient management decisions. Understanding the research results, recognizing the limitations, and knowing how to apply them are essential to translate clinical research results to application in day-to-day clinical practice.

    In this course, the principles and practice of clinical epidemiology and the application of the results to clinical decision making will be discussed, using examples from the literature and from ongoing studies. The course is divided into 3 parts:

    1. Diagnosis
    2. Prognosis
    3. Interventions

    We use blended learning: a combination of video’s, readings, assignments, question-and-answer sessions, interactive lectures, and workshops.

    The assignments involve performing calculations. For the Diagnosis part we work with Excel. For the Prognosis part you will be using R code that has been written for you. To benefit maximally from this course we advise you to do the introduction to R - online course: install R and R Studio, learn basic R syntax, and learn basic R studio functionality. The DataCamp course Introduction to R is very helpful: https://www.datacamp.com/courses/free-introduction-to-r. The full DataCamp course will be available for course participants.

    For students in our master programmes, the core concepts presented in this course will be assessed in the core competences exam that bundles the fall semester courses. This is in addition to the assessment during the course in the form of assignment(s). The core competences exam is only mandatory for students starting their programme in August 2021 or later, while the assignments during the course are mandatory for all participating students.

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    10 Jan 2022 - 10 Jan 2022
    Core competences exam [CK070]

    About this course

    In order to stimulate students to combine the knowledge of different topics and to ensure you have a lasting understanding of the core topics of our field, the core topics of the fall (core) courses are assessed in the combined core competences exam. The core competences exam is a digital multiple choice exam that covers all the core knowledge obtained during the core courses. The aim of this exam is to ensure that students not only master the course objectives when they finish a course, but also master all core competences required as an epidemiologist or quantitative researcher once they graduate from the programme.

    This exam is graded pass/fail, with a pass corresponding to a score of 60% or higher. The core topics of the following courses are covered in the core competences exam:

    • CK010 Study Design
    • CK020 Biostatistics I
    • CK030 Biostatistics II
    • CK040 Clinical Epidemiology
    • CK050 Principles of Public Health
    • CK060 Selected Topics in Epidemiology

    The core competences exam is only mandatory for students starting their programme in August 2021 or later.

    This course is not eligible for discounts, and is currently only available to NIHES programme students.

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    11 Oct 2021 - 29 Oct 2021
    Biostatistics II [CK030]

    About this course

    This course presents statistical regressions models for the analysis of dichotomous, count, and time-to-event data. In the first part, the course builds upon the introductory presentation of logistic regression from the Biostatistics I course and shows some of its extensions, including the conditional logistic regression model. The course then introduces regression models for the analysis of count data. The last part focuses on the statistical analysis of time-to-event data, starting from simple statistical tests and followed by the presentation of accelerated failure time and Cox proportional hazards models. For each modeling framework, a detailed discussion is given on how to build the model to answer the scientific questions of interest, estimate the model’s parameters, assess its assumptions, and finally, interpret the results of the analysis.

    The course will be explanatory rather than mathematically rigorous, emphasizing application such that participants will obtain a clear view of the different modeling approaches and how they should be used in practice. To this end, the course includes several computer sessions, during which participants will learn to work with the R statistical language and implement the methods discussed in the theory sessions.

    For students in our master programmes, the core concepts presented in this course will be assessed in the core competences exam that bundles the fall semester courses. This is in addition to the assessment during the course in the form of assignment(s). The core competences exam is only mandatory for students starting their programme in August 2021 or later, while the assignments during the course are mandatory for all participating students.

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    15 Nov 2021 - 26 Nov 2021
    Principles of Public Health [CK050]

    About this course

    Life expectancy increased in the past decades, but will this remain to be the case? While public health strategies contributed to improvements in population health, major challenges remain. Improving population health in the next decade(s) requires a thorough analysis of current challenges, their causes and solutions. In this course, students will learn the concepts and methods for an analysis of the health of the population, the identification of the main causes, and the evaluation of strategies to improve population health. Summary measures of population health and the impact of diseases on population health will be start of the course, followed by a life course perspective on multilevel determinants of health. Variations in health will be investigated with mediation analysis. Students will also be introduced in mixed method approaches for the evaluation of public health strategies, including natural experiments.

    For students in our master programmes, the core concepts presented in this course will be assessed in the core competences exam that bundles the fall semester courses. This is in addition to the assessment during the course in the form of assignment(s). The core competences exam is only mandatory for students starting their programme in August 2021 or later, while the assignments during the course are mandatory for all participating students.

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    29 Nov 2021 - 10 Dec 2021
    Selected Topics in Epidemiology [CK060]

    About this course

    This course focusses on the application of the theoretical concepts, that students have thus far learned in the previous courses of the core curriculum, to health-related topics. After having learned the principles of research methods, study designs, and statistical analyses, it is equally important to learn how to effectively apply these concepts in "real-life" settings. To improve population health, theoretical background needs to be complemented with applied epidemiological competencies. In this course, we will retain the established and novel didactics of epidemiology with an overlay that prepares the students to work on specific health-related topics. The overall aim of this course is to teach students how the theoretical concepts appear in real-life settings (sometimes presented using different terminologies).

    The course includes a wide range of domains:

    • Infectious disease epidemiology (Prof.dr. S.J. de Vlas);
    • Medical psychology (Prof.dr. J.J. van Busschbach);
    • Health technology assessment (Dr. B.S. Ferket);
    • Pharmaco-epidemiology (Prof.dr. B.H.C. Stricker);
    • Psychiatric epidemiology (Dr. A.I. Luik);
    • Lifestyle epidemiology (Dr. R.G. Voortman);
    • Genomic and molecular epidemiology (Prof.dr. F. Rivadeneira);
    • Big data (Prof.dr. D. Rizopoulos).

    For students in our master programmes, the core concepts presented in this course will be assessed in the core competences exam that bundles the fall semester courses. This is in addition to the assessment during the course in the form of assignment(s). The core competences exam is only mandatory for students starting their programme in August 2021 or later, while the assignments during the course are mandatory for all participating students.

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    30 May 2022 - 10 Jun 2022
    Principles in Causal Inference [EP01]

    About this course

    Epidemiologic research often entails asking and trying to answer questions toward understanding the causes and consequences of health outcomes. Answers to such causal questions require us to combine data (e.g., from observational studies) with assumptions to estimate causal effects. This course will teach students to think critically and rigorously about the implications of study design and analysis toward addressing such causal questions. Students will learn formal causal inference "languages" – including the concept of a target trial, causal diagrams, and counterfactual theory – to articulate research questions, inform an analytic approach, and identify threats to validity such as confounding.

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