Study abroad in Groningen, 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 Groningen, 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 University of Groningen is a research university with a global outlook, deeply rooted in Groningen, City of Talent. Quality has had top priority for four hundred years, and with success: the University is currently in or around the top 100 on several influential ranking lists.
Most popular Statistics programmes for international students in Groningen
These are the most popular programmes among international students who are looking for a Statistics degree in Groningen.
1
Demographic Methods and Analysis
University of Groningen
The Demographic Methods and Analysis programme at the University of Groningen courses train and retrain professionals in the methods and analytical techniques of demography.
To apply at one of these universities, you may need a proof of English proficiency. There are several standardised English tests that you can take to proof your English level, such as the PTE (Pearson Test of English), TOEFL (Test of English as a Foreign Language), CAE (Cambridge Advanced English) and IELTS (International English Language Testing System), offered by British Council and IDP. IELTS is the most popular of these tests, with British Council offering more than 1000 test locations and being accepted by more than 9,000 organisations world-wide.
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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