Data Science at Radboud University

The Master's specialisation in Data Science focuses on combining data and know-how into practice. Students in the programme will research ways to turn data into tools and useful insights using software and algorithms.
 

Radboud researchers lead the field in understanding legal and privacy aspects of data science and on the impact of data science on society and policy. This programme works closely with the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval. Students will benefit from working closely from top experts in the field, conducting research side-by-side and being supervised during projects of their own.
 

We take a multidisciplinary approach to this field, offering students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control).

What will you learn?
 

• Gain a theoretical background in Bayesian Networks, information retrieval and practical machine learning
• Learn about the philosophy and ethics of computing and information science
• Choose from courses in a variety of different disciplines to gain the supplementary knowledge you need to understand the topics you work with
• Get valuable experience designing, conducting and presenting your own research

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Course Content

Students must take a combination of compulsory courses and electives.
 

Compulsory courses
 

• Machine Learning in Practice (6 EC)
• Information Retrieval (6 EC)
• Bayesian Networks (6 EC)
• Research Seminar in Data Science (6 EC)
• Philosophy and Ethics for Computing and Information Science (3 EC)

Elective courses should amount to 18 EC.

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Career

Graduates of this programme have little difficulties finding jobs. Some graduates choose to go pursue a PhD, but most of our students go for a career in industry. Graduates could find jobs in a variety of roles at business, governmental bodies or other research institutes.

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Admission

Applications should have a completed Bachelor's degree in Computing Science or related area, including Computing Science or in Artifical Intelligence. For the specialisation in Data Science, we also encourage students to apply with a background in natural sciences, such as Chemistry, Biology, and Physics, who also have a keen interest in data analytics and proven mathematical and programming skills.
   

A proficiency in English
In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English* without a Dutch Bachelor's degree or VWO diploma need one of the following:
 

• TOEFL score of ≥575 (paper based) or ≥90 (internet based)
• IELTS score of ≥6.5
• Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

* Applicants are considered to be a native speaker of English if they are from Australia, Canada (with exception of Quebec), Ireland, New Zealand, Singapore, UK, USA or South Africa.

Application deadlines:
1 May (EU/EEA applicants)
1 April (Non-EU/EEA applicants)

Do you want to know whether you are eligible for this Master's programme? Do the e-check and find out in a matter of minutes!

More information on this programme? Visit the website!

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Data Science - Impressions of your Masters study

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Overview of Masters programmes - Radboud University

		Artificial Intelligence
		Behavioural Science (Research)
		Biology
		Biomedical sciences
		Business Administration
		Cognitive Neuroscience
		Computing Science
		Corporate Finance and Control
		Data Science
		Economics
		Environment and Society Studies
		Human Geography
		International and European Law
		Niederlande-Deutschland-Studien
		Political Science
		Work, Organisation and Health
		Anthropology and Development Studies
		Arts and Culture
		Business Law
		Communication and Information Studies
		Historical, Literary and Cultural Studies
		History
		Information Science
		International Business Communication
		Linguistics
		Linguistics and Communication Sciences
		Mathematics
		Medical Biology
		Molecular Mechanisms of Diseases (Research Master)
		Molecular Sciences
		North American studies
		Pedagogical Sciences
		Philosophy
		Philosophy (Research)
		Physics and Astronomy
		Psychology
		Social and Cultural Science (Research Master)
		Spatial Planning
		Theology
		Theology and Religious Studies
		Transnational Ecosystem-based Water Management

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Open Days

Bachelor’s Open Day: Friday and Saturday 3.-4. November 2023

Master’s Open Day: Thursday 23. November 2023

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