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Name of the Masters programme

Data Science


Institution

Radboud University


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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

 

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!


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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



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Institution

Radboud University


Location: Radboud University Houtlaan 4
6525 XZ Nimwegen
Niederlande
Gelderland
T   +31 24 36 23456
E   study-information@ru.nl

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Facts about the Masters programme

Location

Nimwegen

Field of study

Information Technology & Telecommunications

Degree

Master of Science

Language

English

Start

fall/winter semester

Type of study

Full-time

Duration of study: 2 years

Tuition fees EU: 2168 EUR / year

Tuition fees Non EU: 16000 EUR / year

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Facts about the Masters programme

Location

Nimwegen

Field of study

Information Technology & Telecommunications

Degree

Master of Science

Language

English

Start

fall/winter semester

Type of study

Full-time

Duration of study: 2 years

Tuition fees EU: 2168 EUR / year

Tuition fees Non EU: 16000 EUR / year

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Masters portal for Germany: www.master-and-more.de

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