Computing Science
Radboud Universiteit
Deze opleiding
| locatieNijmegen |
| diplomaMSc |
| typeregulier, 120 EC |
| start1 september |
| taalvolledig Engels |
| opleidingsduur2 jaar voltijd |
| accreditatiesNVAO |
| croho-code60364 |
| numerus fixusnee |
| honoursnee |
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.
Within this Master's programme, we offer 5 specialisations in each terrain: Cyber Security, Software Science, Data Science, Mathematical Foundations of Computer Science, and Cyber Security & AI. 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.
Waarom aan de Radboud Universiteit?
 Elsevier beste opleiding2021 |
- 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.
Studieprogramma
specialisaties
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.
This Master’s specialisation 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. It covers a broad range of topics that is important for computer security, such as computer science (software, computer networks, and hardware, especially smart-cards and RFID), but also mathematical aspects (cryptography and security protocols), as well as organisational and management issues, legal aspects, and societal issues (in particular privacy). 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.Currently, we're leading the development of the IRMA card, an ID card that will better protect users' personal data against misuse, and the Networking and Cryptography library (NaCl), a new easy-to-use, high-speed and high-security software library.
specialisatie Data Science
The Master's specialisation in Data Science focuses on learning how to turn real-world data sets into tools and useful insights, with the help of software and algorithms.
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.The Master's specialisation in Data Science trains you to become a curious, creative, and competent data scientist. You will follow core courses in machine learning, information retrieval, and probabilistic modeling, and can then delve deeper into different application areas such as natural language processing, medical pattern recognition, neuroimaging, business rules and/or bioinformatics.
specialisatie Software Science
Producing software is not merely a technological enterprise but a deeply scientific and creative one as well. 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. This Master's specialisation brings you to the forefront of academic research on software, and prepares you to play a leading role in building the society of tomorrow. The programme builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in three closely related areas: software technology, computer-aided analysis, and theory of computation. You will follow courses in each of these areas. Depending on your interests, you can then specialise in one area, or study the fascinating links between the areas. This specialisation goes far beyond basic code writing. It's about analysing and testing code in order to improve it as well as simplify it.
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.This Master's specialisation has a unique theoretical and abstract focus that unites mathematics and computer science. The programme 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.
specialisatie Science in Society
Science and technology fundamentally influence society. The reverse is also true: society shapes the ways in which science and technology evolve. You become a critical researcher and bridge-builder.In the specialisation, you will learn how science and society influence each other, how the various social and scientific actors interact and how implicit assumptions, values, and interests of these actors can be made visible and open to discussion. You will also learn under which circumstances tensions arise between science and society, how we can understand these tensions and what solutions are possible. In that process, you acquire skills in critical thinking, social research, and the analysis of media and culture. At the end, you will be a biologist, chemist, mathematician, etc. that understands the philosophical assumptions as well as political and social values in scientific developments. You will be able to make scientists familiar with societal perceptions, and to contribute to science-related consultancy for governments, businesses, or citizen groups.
specialisatie Science, Management and Innovation
A unique programme in which you further develop your knowledge in your scientific field in the first year and then learn to apply your science-based background to a business or policy question in your second year.
The Science, Management and Innovation Master’s specialisation allows you to apply your science background to a societal theme and enables you to make a difference in your future field of work. You graduate in your original Master’s discipline but are also taught how innovation is managed in companies, how policy is made in government, and discuss several approaches to today’s societal challenges.
You will improve your ability to cooperate with actors from other disciplines. This combination of science, policy and business, and the capability to work in multi-disciplinary teams is in high demand, not only in companies but also in non-profit organisations and the public sector. You will create a unique profile with your disciplinary background and combine this with one of the focus track areas related to the sustainable development goals. These are Health, Climate & Energy, Green Industries & IT, or Biodiversity.
Onderwijs
| taal van onderwijs | 100% en |
|---|---|
| avondonderwijs | n.v.t. |
| afstandsonderwijs | n.v.t. |
doelstelling
Academic 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.studeren in het buitenland
You 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 kosten
startmomenten
aanmelding deadline : 1 september 2022
collegegeld nog niet bekend
aanmelding deadline : 1 september 2023
collegegeld nog niet bekend
In most cases, if you require an admission statement, please request this from the Admission Office no later than 1 July (for the September intake).
Dutch students can apply via www.studielink.nl.
After admittance to the Master's programme in Computing Science, you can enrol for the specialisation of your choice.
toelatingseisen
vooropleiding
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.
Inschatting maandelijkse studiekosten
| bedrag | kostenpost | ||
|---|---|---|---|
| € | 315 | kamerhuur in Nijmegenrond het landelijk gemiddelde | |
| € | 22 | internet+tv | |
| € | 152 | boodschappen/kostgeld | |
| € | 32 | telefoon | |
| € | 117 | verzekeringen | |
| € | 172 | collegegeldop basis van € 2060 per jaar | |
| € | 80 | studieboeken en -spullen | |
| € | 29 | drinken/snoep/snacks | |
| € | 77 | uiterlijkkleding, kapper, schoenen | |
| € | 30 | contributies/abonnementen | |
| € | 132 | vrije tijdstappen, uit eten, vakantie | |
| € | 42 | vervoernaast de OV-kaart | |
| € | 45 | overig | |
| € | 1183 | totale maandelijkse uitgaven landelijk gemiddelde is € 1181 | |
Bekijk ook de uitgebreide toelichting: wat kost studeren?
Studenten en studentenleven
studentaantallen
| 158 | studenten volgen deze opleiding |
| 9% | daarvan is vrouw |
| 12 | eerstejaars gestart in 2017 |
| 25% | daarvan is vrouw |
| 20442 | studenten aan de Radboud Universiteit |
| 57% | daarvan is vrouw |
studievereniging
Thalia
studievereniging informatica en informatiekundeOp kamers in Nijmegen
| 41385 | studenten studerend |
| 18288 | studenten woonachtig |
| € 315 | gemiddelde kamerprijs |
| kamer betaalbaarheid | |
| 20 m2 | gemiddelde kameroppervlak |
| kamer beschikbaarheid |
aan het woord: studenten en docenten
Ilona Wilmont
onderzoekerKeuzehulp
Studievergelijker
Computing Science
| star Elsevier |
| € 315 gemiddelde kamerhuur |
| 12 eerstejaars |
| 25% vrouw |
| ? uur contacttijd/week |
Data Science
| € 315 gemiddelde kamerhuur |
| 12 eerstejaars |
| 25% vrouw |
| ? uur contacttijd/week |
Mathematical Foundations of Computing Science
| € 315 gemiddelde kamerhuur |
| 3 eerstejaars |
| 33% vrouw |
| ? uur contacttijd/week |
Software Science
| € 315 gemiddelde kamerhuur |
| 12 eerstejaars |
| 25% vrouw |
| ? uur contacttijd/week |
Cyber Security
| € 315 gemiddelde kamerhuur |
| 3 eerstejaars |
| 33% vrouw |
| ? uur contacttijd/week |
Computing Science
| € 303 gemiddelde kamerhuur |
| 10 eerstejaars |
| 10% vrouw |
| ? uur contacttijd/week |
Feiten en / studie in cijfers
studentoordelen
| deze opleiding | landelijk | |
|---|---|---|
| algemeen oordeel | 4.5 | 4.4 |
| inhoud | 4.0 | 4.0 |
| docenten | 4.1 | 4.1 |
| studiefaciliteiten | 4.1 | 3.9 |
| studielast | 3.6 | 3.5 |
| studiebegeleiding | 3.5 | 3.6 |
In 2017 hebben meer dan 280.000 studenten hun oordeel gegeven over hun studie en instelling.
Computing Science aan de Radboud Universiteit is beoordeeld door 39 respondenten. Gemiddeld waarderen ze de opleiding met 4.5 uit 5.
Na de studie
Beroepsperspectief / arbeidsmarkt
aansluitende masteropleidingen
| instelling | opleiding | instroomeisen |
|---|---|---|
| TU Eindhoven | Leraar VHO Informatica educational | |
| TU Delft | Leraar VHO Informatica educational |
Potentiële beroepen
Contact
Admission OfficeFor general questions and questions on the admission procedure for international students
Dr. Perry GrootStudent advisor; for programme-related questions