How can we develop secure and robust software? How can we teach computers to see? How can we make our software easily adaptable to new tasks? How do we improve learning by computers?

If you find these questions fascinating, you should choose the Master's degree program in Computing Science in Groningen. This program deals with both the theoretical and practical aspects of computing.

You will develop and increase your in-depth knowledge within the areas of Data Science & Systems Complexity, Intelligent Systems & Visual Computing or Software Engineering & Distributed Systems. Most courses offer insightful lectures covering both theory and practice. Apart from acquiring core computing science skills, mathematics and research methodology are also important.

In student colloquia, research and presentation skills are developed. For those aiming to go into business rather than academia, project management, and related topics are also offered. All skills acquired are actively used in research projects, either within the university or during business and industrial internships.

Because computing science is pivotal in many areas of research, students can easily participate in one of many research collaborations with other fields, such as bioinformatics, medicine, and astronomy. In addition, contacts with many businesses facilitate internships in a variety of fields, matching the interests of most students.

The University of Groningen is leading in the analysis and visualization of medical data. For example, the development of data-driven network visualizations of high-density EEG coherence, used for important research in the area of mental fatigue and aging.

Why study this program in Groningen?

  • Three unique specializations within the Netherlands;
  • Excellent computing facilities: A large University Computing Center, with Peregrine high-performance cluster;
  • Several visualization facilities: Reality Cube with 2.5 m edges, Reality Theater 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.

Program

Curriculum

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

Study abroad

  • Study abroad is recommended
  • For an average of 20 weeks
  • Maximum of 60 EC

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

Internship: This program 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.

Admission requirements

Dutch diploma

Specific requirements More information
Knowledge minimum Sufficient English proficiency on VWO level is required.
Previous education A university Bachelor's degree in Computing Science.

International diploma

Specific requirements More information
Additional subject

The Admissions Office will advise the Admissions Board on your application, after which the board will decide if you meet the admission requirements in terms of the general level of previous education and specific background knowledge.

Previous education

A Bachelor's degree in Computing Science. This is merely an indication of the required background knowledge. The admissions board determines whether the specific contents of this/these course(s) meet the admission requirements of the master program for which you applied.

Scholarships

In cooperation with major Dutch companies, we welcome students with several scholarships.

ASML Scholarship: ASML is one of the world's leading manufacturers of chip-making equipment. The €5000 p/y scholarship is awarded every year to 25 exceptional students, who additionally will get the chance to become a Technology Ambassador within their scholarship period.

Language requirements

Exam Minimum score
IELTS overall band 6.5
TOEFL paper-based 580
TOEFL computer-based 237
TOEFL internet-based 92

Registration procedure

The Admissions Board will decide whether you can be admitted to the Master's degree program. Applications are evaluated on a continuous basis. You do not have to wait until the application deadline to apply.

If you want to start the master at another point than September then please also contact the academic advisor! The program is generally tailored towards a start in September and good study planning is needed when starting at any other point of the year.

Application deadlines

Type of student Deadline Start course
Dutch students

15 October 2019

01 May 2020

15 October 2020

01 February 2020

01 September 2020

01 February 2021

EU/EEA students

15 October 2019

01 May 2020

15 October 2020

01 February 2020

01 September 2020

01 February 2021

non-EU/EEA students

15 October 2019

01 May 2020

15 October 2020

01 February 2020

01 September 2020

01 February 2021

Tuition fees

Nationality Year Fee Program form
EU/EEA 2019-2020 € 2083 full-time
non-EU/EEA 2019-2020 € 15500 full-time
EU/EEA 2020-2021 € 2143 full-time

Job prospects

Having completed the Master's degree program 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 Ph.D. programs.

Those in the industry are generally promoted to managerial roles after a few years and, for example, become project managers. In academia, the usual path is from Ph.D. via post-doctoral researcher to a university staff member, though quite a few of our successful Ph.D. students have moved on to industry as well. Many MSc and Ph.D. 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 a 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 a software architect and designer of cloud systems;
  • Typically our graduates find excellent jobs within one month and can choose from multiple job offers.

Job examples:

  • Data scientist for a big bank, international company or government
  • Software architect and designer of cloud systems
  • Expert in Medical imaging, Bioinformatics, IT systems for e-health care
  • Designer of advanced, secure distributed information systems
  • Designer of block-chain systems
  • Researcher aspiring a Ph.D. degree

Research

The Master's program 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, visualizing large, multidimensional astronomical data sets, general data visualization, visualizing 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 analyze 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, e-Science and scientific computing.
Program taught in:
  • English

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Last updated October 6, 2019
This course is Campus based
Start Date
Feb 1, 2020
Sep 1, 2020
Duration
2 years
Full-time
Price
2,143 EUR
EU/EEA students: €2143/year. Non-EU/EEA students: €15500
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