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    Science and Engineering Logo
  • Study Type

    Full time available

  • Subject Areas

    Computer Science

  • Start Date

    September, February

  • Course Duration

    Full-time: 2 years

  • Course Type

    MSc

  • Course Fees

    website

  • Last Updated

    25 July 2018

How do the advanced methods for big data, such as pattern recognition, machine learning and visualization, work? How can data science be applied to practical problems of companies and governments?

How can we set up cloud computing, sensor networks, web-services and smart distributed systems for energy and health care? How can we develop secure and robust software for reliable, secure and intelligent computer systems?

If you find these questions interesting and important for your future, you should choose the Master's degree programme in Computing Science in Groningen. This programme deals with both the theoretical and the practical aspects of computing.

In today’s world, it is hard to find a sector in society or in other sciences in which computing science does not play a huge and innovative role. The rapid technological and societal developments, along with the continuous growth of the field of computing science itself means that the computing science professional will be involved in life-long learning, continually adapting to new challenges.

The aim of the Computing Science programme is to impart knowledge, skills, understanding and attitude by means of a broadly based curriculum such that you are able to be an independent professional in the computing science field. To that end, you will obtain an understanding of the fundamentals of computing science, and specialized knowledge in a subfield of computing science: Data Science & Systems Complexity, Intelligent Systems & Visual Computing, Software Engineering & Distributed Systems or Science, Business & Policy.

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.

Job prospects

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).

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

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.

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 PhD degree

Visit the Computing Science MSc page on the University of Groningen website for more details!

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