Computing Science

Entry requirements

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

In order to get admission to this Master’s you'll need a completed Bachelor’s degree in Computing Sciences or a related discipline, such as Artificial Intelligence and Mathematics. For the specialisation in Data Science, we also encourage students to apply who have a background in natural sciences, such as Chemistry, Biology, and Physics, with a keen interest in data analytics and proven mathematical and programming skills. In all cases, the Examination Board will consider whether or not you have met the requirements.

A proficiency in English

In order to take part in this programme, you need to have fluency in both written and spoken English.This requirement has been satisfied when the student meets the conditions, listed on our website.

Specialisation specific requirements

Some specialisations may have additional requirements. To find out more, please visit the specialisation web-pages for more detailed information.

* 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.

Would you like to know if you are eligible to be admitted to this programme? Take our E-Check and instantly get an insight in your eligibility.

Months of entry

September

Course content

The enormous and rapidly growing power of ICT is the main driving force shaping our modern society. This goes beyond the technical and economical aspects. ICT is also essential in research as all sciences benefit from the raw power of software in processing huge quantities of data. But how do we manage and control the complexity of modern software? How can we make the most of the opportunities? And, not to be forgotten, how can we secure the ICT infrastructures we so heavily rely on? The Master’s programme in Computing Science covers all these aspects.

We offer specialisations in each terrain: security, software, data and the mathematics at the base of it all. These are not, however, isolated disciplines. We also look at the interesting interplay between them. For example, by taking privacy into account when dealing with big data. And by doing a thorough analysis of newly designed software to prevent security breaches later. Thanks to a large number of optional courses, you can decide where you want your focus to be.

The job opportunities in computer science are excellent: many of our students get offered jobs before they’ve even graduated and almost all have positions within six months after graduating. Many of our graduates find jobs as systems builders, ICT specialists or ICT managers and a few continue as researchers.

Specialisations

• Cyber Security
  You’ll learn to assess the security of existing ICT solutions, and how to develop more secure solutions for the future. This specialisation is offered in collaboration with the Eindhoven University of Technology, meaning you get taught by many of the best cyber security experts in the country.
• Data Science
  You’ll learn how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. Radboud University and the iCIS research institute are leading in research on legal and privacy aspects of data science and on the societal and administrative impact of data science.
• Mathematical Foundations of Computer Science
  You’ll come to understand the fundamental mathematical concepts of computation and information in order to stretch the boundaries of computer technology. We’re the only specialisation in the country – and one of the few in the world – to focus on the theoretical and abstract playing field linking mathematics and computer science.
• Software Science
  You’ll learn how to design high-level software that guarantees safety while controlling its complexity. At Radboud University, we are specialised in model based development. In other words, writing and testing code before they are unleashed in the real world or built into an expensive prototype.
• Science in Society
  This specialisation will equip you with the tools and skills to become a professional intermediary between science and society. You’ll learn to analyse (governmental) science communication and connect scientific knowledge with divergent perspectives and interests of various stakeholders.
• Science, Management and Innovation
  This specialisation will teach you what is happening in the world of business and public administration, how innovation is managed in company strategies, how government designs policy and how that interacts with societal challenges.

If you have any questions, email us here: study-information@ru.nl

Learn more via the Radboud University contact form.

Fees and funding

There are various scholarships available for studying at Radboud University. Some of the opportunities are described below. A full list, including detailed information, can be found on our website.

• Radboud Scholarship Programme
• Fulbright-Radboud Scholarships