Computing Science

• Three unique specialization within the Netherlands

• Excellent computing facilities: A large University Computing Center, with e.g. a Peregrine high performance cluster

• Several visualization facilities: Reality Cube with 2.5 m edges, Reality Theatre with an 8.5 x 2.8 m screen, wall touch display for interactive visualization

• Students can easily participate in one of many research collaborations with other fields, such as bioinformatics, medicine and astronomy

• Our faculty is the home of the 2016 Nobel Prize Winner in Chemistry, Ben Feringa, and the Nobel Prize winner in Physics, Frits Zernike

2-year programme; credits per year: 60 ECTS; most courses are 5 ECTS.

For the complete curriculum, please see: http://www.rug.nl/ocasys/fwn/vak/showPos?opleiding=3255&ocasysyear=2016

Exchange: All our science and engineering programmes offer study abroad possibilities at a number of partner institutions. Our partners include top-100 universities in Europe (for example in Germany, UK, and Sweden) and in the USA, China, South-East Asia, and South America. Our exchange programmes have a typical duration of one semester and count toward your final degree.

Internship: This programme offers you the opportunity to carry out a research project of a variable number of months at a company in the Netherlands or abroad, as part of your thesis. Our choice of industry partners ranges from large multinationals (such as Shell, Philips, Unilever) to dynamic small and medium enterprises in the Groningen area.

Having completed the Master's degree programme in Computing Science, you will be spoilt for choice regarding future employment. There are hardly any areas of business or research which do not require computer scientists, either software engineers and architects, or researchers. Usually our students are offered suitable jobs within one month of graduating (or even before graduating).

After graduating, most of our alumni move on to software companies (or found their own) or to academia, usually by entering into PhD programmes.

Those in industry are generally promoted to managerial roles after a few years and, for example, become project managers. In academia the usual path is from PhD via post-doctoral researcher to university staff member, though quite a few of our successful PhD students have moved on to industry as well. Many MSc and PhD students have gone into the field of medical imaging, either at various universities or in the research labs of large companies. More and more are moving into bioinformatics.

Your future:

- as data scientist you will turn big data into value in a variety of sectors: banking, insurance, big corporations and small fast-growing start-ups, government

- data scientist with computer science background is the type of specialist that is most sought by businesses and government

- as software architect and designer of cloud systems

- typically our graduates find excellent jobs within one month and can choose from multiple job offers

The Master's programme in Computing Science is closely linked to the Bernoulli Institute. Its mission is to perform outstanding academic research and teaching in Mathematics, Computing Science, and Artificial Intelligence. Within the Master's degree programma of Computing Science you can use excellent computing facilities and conduct research in the following areas:

Distributed Systems , which are becoming the standard way to build information systems, in particular Web Services, Service-Oriented Architectures, eBusiness, and mobile computing;

Intelligent Systems , with projects on machine learning, computational intelligence, computational artificial intelligence, pattern recognition, computer vision, with applications in medicine, health care, finance, law enforcement, robotics, animal breeding, genetics, bioinformatics;

Scientific Visualization and Computer Graphics , in particular 3-D medical imaging, visualising large, multidimensional astronomical data sets, general data visualisation, visualising bioinformatics data (genomics and proteomics);

Software Engineering and Architecture , dealing with the process of creating programs from the requirement analysis all the way to its management, in particular software patterns, explicitly handing variability and managing architectural knowledge;

Data Science and Systems Complexity, with complex systems generating big data, and big data helping to identify, control, and analyse complex systems and apply data science methods in practical problems of companies and governments;

Information Systems, which are the backbone of any enterprise with special focus on cutting-edge concepts, architectures and technologies for EAI, business process management (BPM) and workflows, SOA and REST architectural styles, Cloud Computing, Internet of Things, Blockchain platforms, Information Assurance and Security and in the fields of data-driven healthcare, logistics and SCM, advanced biometrics, manufacturing, eScience and scientific computing.

Read more on the website of the Bernoulli Institute for Mathematics, Computing Science and Artificial Intelligence.