Study abroad in Utrecht, 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 Utrecht, 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.
The Utrecht Summer School is a cooperation of the Utrecht University, HU University of Applied Sciences and HKU University of the Arts. These institutions of higher education offer high quality, fully accredited summer courses on bachelor, master and PhD level.
Throughout Utrecht University, students are offered interactive, small-group learning experiences provided by enthusiastic lecturers who actively contribute to improving the programmes where necessary.
Most popular Statistics programmes for international students in Utrecht
These are the most popular programmes among international students who are looking for a Statistics degree in Utrecht.
1
Introduction to Multilevel Analysis
Utrecht Summer School
This Introduction to Multilevel Analysis course from Utrecht Summer School will teach you the theoretical basics of multilevel modeling and some important methodological and statistical issues.
Survey Research: Statistical Analysis and Estimation
Utrecht Summer School
The Survey Research: Statistical Analysis and Estimation course at Utrecht Summer School is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data.
This 4-day course in Applied Bayesian Statistics offered by Utrecht Summer School zooms in on the key concepts of Bayesian Statistics and advanced techniques for data-analysis.
Hypothesis Evaluation - P-Values, Bayes Factor, and Information Criteria
Utrecht Summer School
The Hypothesis Evaluation - P-Values, Bayes Factor, and Information Criteria course offered by Utrecht Summer School discusses the evaluation of theory-based hypotheses using p-values, the Bayes factor, and information criteria.
Methodology and Statistics for the Behavioural, Biomedical and Social Sciences
Utrecht University
The Methodology and Statistics for the Behavioural, Biomedical and Social Sciences programme at Utrecht University is recognised as a high quality programme and has been awarded high ratings in the past years by established rankings in the Netherlands.
If you choose to study Economics and Business Economics programme
offered by Utrecht University, you choose a broad-based view on economic issues: the real-world perspective. It is a combination of general economics and business economics: it teaches you how economists think and how you can study current issues in businesses and society as effectively as possible.
R is rapidly becoming the standard platform for data analysis, and is able to perform an enormous range of statistical procedures not available in other statistical programs, such as SPSS. Statistical Programming with R from Utrecht Summer School offers an elaborate introduction into statistical programming in R. Students learn to operate R, make high quality graphics, fit, assess and interpret a variety of statistical models and do basic statistical programming.
Applied Bayesian Statistics is offered by Utrecht Summer School. A 5-day course on the basics of Bayesian statistics, offering hands-on experience with OpenBUGS or R and JAGS.
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)
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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.
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