Why study Data Science in Nijmegen?

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. As a result, a wide range of fields in science and society are looking for data scientists. In this specialisation you will learn how to turn data into knowledge and solutions, with the help of computers.

 

Why study Data Science?

  • This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval.
  • We’re 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 as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to program and develop your own.
  • Because of its relevance to all kinds of different disciplines, we offer our 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).
  • The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.
  • Exceptional students who choose this specialisation have the opportunity to study for a double degree in Computing Science together with the Master's programme in Artificial Intelligence. This will take three instead of two years.

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Why Radboud University

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