Study abroad in Rotterdam, Netherlands: Most popular universities for Statistics.
Are you thinking of studying Statistics abroad? Below you can find the most popular universities and programmes to study Statistics in Rotterdam, Netherlands. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.
Most popular Statistics programmes for international students in Rotterdam
These are the most popular programmes among international students who are looking for a Statistics degree in Rotterdam.
1
Logistic Regression
Erasmus University Rotterdam
This Logistic Regression course at Erasmus University Rotterdam provides theoretical and practical training for biostatisticians, epidemiologists and professionals of related disciplines in statistical modeling with particular emphasis on logistic regression.
This Biostatistics MSc programme at the Erasmus University Rotterdam - Netherlands Institute for Health Sciences (NIHES) 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.
This Cohort Studies course at Erasmus University Rotterdam will provide an introduction to the cohort and other longitudinal designs for students with an intermediate level background in epidemiology.It will focus on design and interpretation, emphasizing the principles and complexities of data collection over time and potential biases that may affect cohort data.
This is a Practice of Epidemiologic Analysis course at Erasmus University Rotterdam in which the theoretical background and practical application of basic epidemiologic analytic tools is discussed.
Each year the Erasmus Summer Programme in Biostatistics offered by Erasmus University Rotterdam provides hundreds of students, researchers and health professionals with the opportunity to boost their scientific careers. It is a specialized event that offers three weeks of á la carte research training in quantitative medical and health research.
This Methods of Public Health Research course at Erasmus University Rotterdam provides an introduction to essential study designs and analytic methods available to public health researchers to describe the influence of important determinants on public health and to evaluate effects of primary preventive intervention on public health.
This Markers and Prediction Research course at Erasmus University Rotterdam aims to provide the basic knowledge and principles to evaluate the quality of prognostic research and its translation to inform decision making of clinicians and policymakers.
This course aims at introducing the basics of biostatistics, form an applied bio-medical perspective. Starting from some data sets collected to answer specific research questions, the objectives of statistical inference will be illustrated.
The most common way to assess your English level is by taking a standardised English test, such as:
PTE Academic (Pearson Test of English)
TOEFL iBT (Test of English as a Foreign Language)
IELTS Academic (International English Language Testing System)
C1 Advanced (formerly known as CAE – Cambridge English Advanced)
What makes PTE Academic stand out among these renowned English exams is the use of A.I. (Artificial Intelligence) to correct the answers of tests takers. This ensures that the results are unbiased and offer a 100% objective evaluation. Another great advantage of using A.I. is speed – results are typically available within 2 business days after taking PTE Academic.
Statistics degrees teach students to collect, organise, display, and interpret data. Statisticians help us understand problems and trends in society. Statistical insights are used to find or test solutions before implementation, while Statistics studies focus on improving planning processes and data collection, with surveys or experiments. Graduates work as market researchers, risk analysts, data scientists, or statisticians.
