Are you thinking of studying Informatics & Information Sciences, abroad? Below you can find the most popular universities and programmes to study Informatics & Information Sciences in Odense, Denmark. 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.
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Most popular Informatics & Information Sciences programmes for international students in Odense
These are the most popular programmes among international students who are looking for a Informatics & Information Sciences degree in Odense.
Information Technology - Web Communication Design
University of Southern Denmark
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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.
About Informatics & Information Sciences
Informatics degrees are interdisciplinary studies teaching how to analyse, collect, transmit, store, process and utilize information. Informatics degrees prepare IT specialists to find innovative solutions to current technology demands. Top Information Sciences degrees are offered by international tech schools abroad, and students can find jobs as systems developer, programmer, web designer, information architect, or business analyst.
Related disciplines
- Informatics & Information Sciences
- Geographical Information Systems (GIS)
- Business Information Systems
- Video Games & Multimedia
- Computer Sciences
- Data Science & Big Data
- Health Informatics
- Human Computer Interaction
- IT Security
- Web Technologies & Cloud Computing
- Cyber Security
- Software Engineering
- Artificial Intelligence
- Machine Learning