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What will I learn?

Data plays a role in almost every scientific discipline, business and industry, and social organisations. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour, marketeers analyse the online behavior of visitors of websites and online services, and the police employ data models that predict where crimes may occur. And of course, businesses like Google and Amazon are shifting user preference data to fulfil desires we do not even know we have. In this specialisation you learn how to turn data into knowledge and solutions, with the help of computers.

Master's in Data Science: something for you?

Our Institute for Computing and Information Sciences (iCIS) has a strong international reputation machine learning, probabilistic modelling, recommender systems and information retrieval.
iCIS is leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.
Our approach is pragmatic, yet grounded in theory.
You can take related courses at departments like language studies, artificial intelligence, chemistry, or biophysics.
Exceptional students have the opportunity to study for a double degree in Artificial Intelligence.

What will you learn?

This specialisation is focused on research. You learn how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. First, you study scientific literature in the Research Seminar. During your Research Internship, you participate in a research project in a company or a scientific group. In the Master's thesis, you carry out your own research project, under the close supervision of our expert staff. You can for example take part in the research of iCIS on topics like Machine learning, Information retrieval, Recommender systems or Privacy and law.

Which department am I in?

Faculty of Science

Study options

Full Time (2 years)

Tuition fees
€17,000.00 (13,73,183) per year
Start date

Expected September 2022

Venue

Radboud University

Houtlaan 4,

NIJMEGEN,

Gelderland,

6525 XZ, Netherlands

Entry requirements

For students from United States

A completed Bachelor's degree in Philosophy or in a related discipline (in the latter case, students must have acquired at least 60 EC in Philosophical disciplines). The applicant must have a degree with merit or distinction or equivalent. Meaning: a student’s weighted grade-point average in Philosophy in the 2nd and 3rd year of their Bachelor's programme must be the equivalent of 7.5 or more (on the Dutch scale of 10). A TOEFL iBT or 100 overall, with subscores of 22; An IELTS score of 7.0, with subscores of 6.5; A Cambridge C1 Advanced or C2 proficiency, with marks of C or higher.

For international students

A completed Bachelor's degree in Computing Science or related area.

In order to get admission to the Master’s in Computing Science, you'll need a completed Bachelor’s degree in Computing Sciences or a related discipline, such as Artificial Intelligence and Mathematics. An international degree has to be equivalent to a Dutch university diploma.

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 iBT: ≥ 90 + subscores ≥ 22;
IELTS Academic: ≥ 6,5 overall + subscores ≥ 6,0 + writing subscore ≥ 6,5;
Cambridge certificate C1 Advanced or C2 Proficiency: C or higher.

Application Deadline: Non-EU/EEA students - 1 April; EU/EEA students - 1 May (recommended deadline for assistance with finding housing) and 1 July (final application deadline).

Students must have passed (preliminary) examinations containing the following subject matter:

  • Variety of these mathematical courses, at least 12 EC: Calculus, Linear algebra, Logic, Discrete mathematics, Combinatorics, Probability and Statistics, Information theory, Graph theory, Number theory;
  • Variety of programming courses, at least 12 EC or equivalent: Courses on programming paradigms and Algorithms and data structures;
  • Variety of other Computing science or computer engineering courses, at least 12 EC or equivalent: Courses in the domains of Security, Computer networks, Computer hardware and/or electronics, Data science, Theoretical computer science, or similar.
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