MScComputing Science: Data Science
| Study location | Netherlands, Nijmegen |
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| Type | Master courses, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | MSc |
| Entry qualification | Undergraduate diploma (or higher) A Bachelor’s degree in Computing Science or in Artificial Intelligence. You should have: You must be familiar with research methods, academic writing, and critical thinking. The entry qualification documents are accepted in the following languages: English / German / Dutch. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. It is required that you send verified copies of the entry qualification documents directly to the university by postal mail. Important! Never send original documents by post! Radboud University |
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| Language requirements | English - IELTS Academic: ≥ 6.5 overall, subscores ≥ 6.0, writing subscore ≥ 6.5 |
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| Other requirements | A motivation letter must be added to your application. Please describe your future plans and what you would like to learn and research at Radboud University. What are the topics of the research you would like to do? Also, include your interest in studying at Radboud University (specific disciplines, facilities, or other considerations). A description of courses If possible, please provide us with a link to a website containing more information about the institute and the curriculum – in English (preferably) or German. Description of the practical laboratory work Contact data of possible references |
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| More information |
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Overview
Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.
Programme structure
The Master’s specialisation in Data Science is taught at the Faculty of Science. It has a course load of 120 EC* (two years). The first year of this specialisation contains five compulsory courses. The structure of the programme is presented here.
Career opportunities
Examples of companies where the graduates end up include SMEs like Orikami, Media11 and FlexOne, and multinationals like ING Bank, Philips, ASML, Capgemini, Booking.com and perhaps even Google.