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.
|diplomaMSc Computing Science|
|typeregulier, 120 EC|
|opleidingsduur2 jaar voltijd|
|heeft geen numerus fixus|
Waarom aan de Radboud Universiteit?
- All of our specialisations are closely related to the research carried out within the Institute for Computing and Information Science (iCIS).
- 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.
specialisatie Science in Society
Equipping you with the tools and skills to become a professional intermediary between science and society whilst getting a broader societal perspective that will be useful in a scientific career.
Science and technology clearly have a profound influence on society, but the reverse is also true: society significantly shapes the ways in which science and technology evolve. Economic interests, public opinion and policy shifts are decisive for the shaping of science and technology. However, experience has shown that scientists on the one hand and the general public, government and businesses on the other aren't always able to clearly understand one another. That is why experts with a background in science and an understanding of social processes are indispensable.
This specialisation will therefore teach you how to build a bridge between scientific expertise and societal practices. You'll become a biologist, chemist, mathematician, etc. that reflects on the implications of scientific results and advises on how to turn this knowledge into practical use for policymaking or communication purposes. This reflection will not just be scientific; you'll also learn how to detect the philosophical, political and ethical side of issues. You'll make scientists familiar with social perceptions as much as you'll be advising governments and businesses or informing the general public.
specialisatie Mathematical Foundations of Computer Science
This Master's specialisation will focus on understanding the fundamental mathematical concepts of computation and information in order to explore the potentials of computer science.
The theory of computation arose from concerns about the foundations of mathematics, and was developed in the work of Gödel, Church, Turing, Kleene and others. The actual building of computing machinery later was strongly influenced by this theoretical work. Computer science quickly grew into an independent field of study, but the relations with mathematics are still strong. Connections range from the use of mathematics to model the foundations all the way to the use of computers to help solve mathematical problems with a discrete component.
The Master's specialisation places itself squarely in this exciting interdisciplinary area of deep theoretical developments. For this reason, the mathematics courses in this curriculum concentrate on algebra, general topology, logic, number theory and combinatorics. The computer science courses concentrate on formal methods, type theory, category theory, coalgebra and theorem proving.
Not only is this Master's an excellent stepping-stone for students with ambitions in research, many of our graduates also work as systems builders, ICT specialists or ICT managers in the private sector or within government.
specialisatie Data Science
Data plays a role in almost every scientific discipline, business industry or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour with huge telescopes and the police employ seismology-like data models that predict where crimes will occur. And of course, businesses like Google and Amazon are shifting user preference data to fulfil desires we don't even know we have. There is therefore an urgent need for data scientists in whole array of fields. In the Master's specialisation in Data Science you'll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.
Although this Master's is an excellent stepping-stone for students with ambitions in research, most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.
specialisatie Science, Management and Innovation
Both the public sector and businesses struggle with the question of how to address sustainability, health, energy and IT security issues. Many of the challenges that society faces are rooted in the natural or computer sciences but have strong links to other disciplines. Solutions require scientists with an additional understanding of the societal aspects of these problems, and the ability to speak the language of and work with all possible stakeholders like scientists, civil servants and politicians.
The Master's specialisation in Science, Management and Innovation will therefore take you out of the lab and place you right in the heart of society. After the first year in which you broaden your knowledge in your scientific field, you'll learn the skills you can use to make a direct contribution to society. This contribution can range from the creation of policies that tackle social issues to project development or market research.
The combination of expertise – science, policy and business – is highly sought after and will prepare you for a dynamic career in business, a job in the public sector or in the a social (research) organisation.
specialisatie Cyber Security
In this Master's specialisation, the focus is on learning to assess the security of existing ICT solutions, and on how to develop more secure solutions for the future.
Over the last decade, Radboud University has made a name for itself in this field both in and outside the country. The Digital Security Group revealed security flaws in the chip-card used for public transport smart cards like the London Oyster and the Dutch OV-chipkaart. Researchers of our group also found security vulnerabilities in commonly used car immobiliser systems.
The Master's specialisation in Cyber Security will teach you how to contribute in the design of new security systems. You'll be able to draw up the security requirements of an application and discover where possible weaknesses lie. Main focus lies on topics as cryptographic codes, operating systems and protocol verification. But you'll also get a broad scope of cyber security to include mathematical, organisational, legal and ethical aspects, with particular attention for privacy issues.
specialisatie Software Science
Software plays a role in almost every aspect of our daily lives and in every organisation anywhere in the world. It can often be a crucial key to their success. Well-structured software that is attuned to an organisation's needs and future plans can be cost effective, improve efficiency, offer better services and be innovative. Many companies, in every branch out there, are therefore looking for highly skilled software specialists. Graduates of the Master's specialisation in Software Science will have no trouble finding a job.
Producing software is not merely a technological enterprise but a deeply scientific and creative one as well. Modern cars drive on 20 million lines of code. How do we develop all this software and control its complexity? How do we ensure correctness of software on which the lives in a speeding car literally depend on? This specialisation goes far beyond basic code writing. It's about analysing and testing.
|taal van onderwijs||100% en|
onderwijsvormencomputer opdrachten, groepsdiscussie, groepsopdracht, hoorcollege, individuele opdracht, laboratoriumwerk, literatuurstudie, mondelinge presentatie, onderzoek, onderzoeksproject, onderzoeksvoorstel, poster presentatie, practicum, project, stage, werkcollege, zelfstudie
doelstellingAcademic training in the field of computer science, with a focus on reliability of software, information retrieval and information systems, embedded systems, computational models, software construction.
docentenThe courses take place in a very stimulating, personal setting. The lecturers are open to any question you might have on the course matter. They can also provide you with advice on internships or other study-related choices.
studeren in het buitenlandYou can choose to perform your elective courses or internship(s) abroad. There are for example close contacts with the Max Planck Institute in Germany. For other possibilities, you can always contact a lecturer or the student advisor.
Toelating en studiekosten
|1 september 2017||aanmelding deadline : 1 mei 2017|
wettelijk tarief : € 2006
instellingstarief : € 10360
niet-EU/EER studenten : € 10360
|1 september 2018||aanmelding deadline : 1 mei 2018|
collegegeld nog niet bekend
You'll need a Bachelor's degree in Computing Science to get admission to the specialisations in: Software Science, Cyber Security, Science in Society, and Science, Management and Innovation. To get admission to the specialisation Data Science you'll need a Bachelor's degree in Computing Science or in Artifical Intelligence. We also encourage students in natural sciences, such as Chemistry, Biology, and Physics, with a keen interest in data analytics and proven mathematical and programming skills, to apply for the specialisation Data Science.
|€ 500||studiematerialenper jaar|
|€ 300||visa/permitper jaar|
Inschatting maandelijkse studiekosten
|€||315||kamerhuur in Nijmegenrond het landelijk gemiddelde|
|€||158||collegegeldop basis van € 1906 per jaar|
|€||80||studieboeken en -spullen|
|€||77||uiterlijkkleding, kapper, schoenen|
|€||132||vrije tijdstappen, uit eten, vakantie|
|€||42||vervoernaast de OV-kaart|
|€||1183||totale maandelijkse uitgaven landelijk gemiddelde is € 1181|
Studenten en studentenleven
|?||studenten volgen deze opleiding|
|?%||daarvan is vrouw|
|?||eerstejaars gestart in 2012|
|?%||daarvan is vrouw|
|18901||studenten aan de Radboud Universiteit|
|57%||daarvan is vrouw|
Thaliastudievereniging informatica en informatiekunde
Op kamers in Nijmegen
|€ 315||gemiddelde kamerprijs|
|20 m2||gemiddelde kameroppervlak|
aan het woord
|€ 315 gemiddelde kamerhuur|
|? uur contacttijd/week|
|€ 315 gemiddelde kamerhuur|
|? uur contacttijd/week|
|€ 303 gemiddelde kamerhuur|
|? uur contacttijd/week|
Feiten en / studie in cijfers
Na de studie
Beroepsperspectief / arbeidsmarkt
vergeleken met andere studies
|salaris na 1,5 jaar||zeer goed|
|kans op een vaste baan||zeer goed|
- data analyst