Practical expertise, theoretical excellence
The Master’s programme in Computer Science aims to provide you with the knowledge, experience and insights you need to become an autonomous professional in the field of computer science. You will learn a great deal about the technology behind computer systems, software, networking and online systems. The programme is designed to offer a solid basis for a career in the business world and also to prepare you for further education as a scientific researcher. There are several research groups within VU University Amsterdam where you will have the opportunity to continue your work as a scientific researcher. The Computer Science department has many connections with national and international companies, which can offer you a flying start to your career once you have completed your Master’s. Computer Science graduates are in high demand and many of our students find work in their chosen field of specialization. If you are interested in this programme, you could also check out our Master's programme in Parallel and Distributed Computer Systems, founded by Prof. Andrew S. Tanenbaum.
Computer Science is a joint degree programme of the University of Amsterdam and VU University Amsterdam. Courses are given at the two Faculties of Science. Graduates receive a diploma accredited by both universities.
- Duur: 2 years
- Collegegeld: Tuition fees
- Aanmelden voor: 1 April for non-EU/EEA students; 1 April for EU and EEA students; 1 June for Dutch students from institutions other than VU University Amsterdam
- Startdatum: 1 September
- Vorm: Voltijd
- Interessegebied: Informatica, Wiskunde en Bedrijf
- Foundations of Computing and Concurrency
- Internet and Web Technology
- Computer Systems and Security
- High-Performance Computing
- Software Engineering
- Toelatingseisen: Admission requirements
|"After finishing my MSc and PhD degree both at VU, I got a job as a researcher at the European research lab of Yahoo in Barcelona, Spain. The most visible part of my work is that I contributed to the conceptualization and design of SearchMonkey. SearchMonkey uses semantic technologies to improve how search results are displayed, by including images, links and data inside the abstracts. I like this job because I'm interested in applying semantic technologies to improve search. This not only means Web search, but also searching inside the vast content assets owned by Yahoo, including news, finance and product data, emails, videos and images, social networks, user profiles and much more."
Peter Mika, researcher @ Yahoo! Research, Barcelona
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