Keywords:
Computer Science
Edu type:
Formal education
Location:
Nijmegen
Education:
Master (EQF 7)
Start date:
01/09/2025
Study Load:
3360 hrs
Duration:
2 years
More information

Description:

The enormous power of IT is the main driving force shaping modern society, going beyond the technical and economic aspects. In this Master’s programme, you can study the design and analysis of software, machine learning and big data, cyber security, or the logic and mathematics behind computation, but also the interplay between these areas. In the Computing Science Master's programme, you can opt for six specialisations.

 

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.

 

Why study Computing Science at Radboud University?
- All of our specialisations are closely related to the research carried out within the Institute for Computing and Information Science (iCIS).
- 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.
- There are plenty of high profile companies in the vicinity such as Philips and ASML, where you could do an internship or the research for your Master’s project.
- Exceptional students who choose the Data Science specialisation have the opportunity to do a double degree in Computing Science together with the specialisation in Web and Language Interaction (Artificial Intelligence). This will take three instead of two years.
- Our students rate this Master’s programme 8,2 out of 10 according to the National Student Survey 2017.


Personal advice during the Master’s Open Day
Would you like more information about this programme? Then please visit our Master’s Open Day on 10 March 2018! Teachers will answer your personal questions and current Master’s students will share their experiences with you. This way you can find out about the Master’s programme from all different perspectives.

 

As a Computing Science student, you'll choose one of the following specialisations. With electives and internships, you can fit the programme exactly to your specific interests.

 

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.