Study abroad in Brighton, United Kingdom: 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 Brighton, United Kingdom. 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 Sussex is a leading research-intensive university near Brighton. We have both an international and local outlook, with staff and students from more than 100 countries and frequent engagement in community activities and services.
Most popular Statistics programmes for international students in Brighton
These are the most popular programmes among international students who are looking for a Statistics degree in Brighton.
1
Psychological Methods
University of Sussex
This Psychological Methods degree offered at University of Sussex is for you if you wish to go on to study for doctoral qualifications across a range of specialisms within psychology or to follow a career in psychological research.
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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