Partner program master

Data Science for Decision Making

***Awarded 'Top Rated Programme' label, Keuzegids 2018***

 

Do you like coming up with elegant solutions for complex problems? Do you find it challenging to extract patterns from large sets of data? Then you should consider getting a master’s in Data Science for Decision Making. In today’s world, many companies and organisations collect all sorts of data. They aim to extract useful information from it, to recognise patterns and anomalies. Data Science for Decision Making provides the mathematical tools to model and handle these datasets. It has widespread applications in business and engineering, ranging from scheduling customer service agents and optimising supply chains, to modelling biological processes and extracting meaningful components from brain signals. Upon graduation, you'll therefore have excellent qualifications to pursue a career as a data scientist, researcher or manager in many different industries.

  • A very nice place in my faculty is the Swarmlab, where you get access to equipment you don’t usually have
    Christos Thomas, Data Science for Decision Making

News

  • 25 years DKE

    Data scientists have the future (and control it)

    Monday, June 18, 2018

    Celebration of the 25th anniversary of the Department of Data Science and Knowledge Engineering (DKE).

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  • Can we use Artificial Intelligence to improve our educational system?

    Tuesday, April 10, 2018

    Do we want, and is it possible, to improve our educational system via Artificial Intelligence? This was the central question during a special Ideation Session recently hosted by the Brightlands BISS Campus in Heerlen.

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  • Radically new approach of self-care for Alzheimer's patients

    Tuesday, March 27, 2018

    ICT4Life is an EU-funded project. Its objective consists in implementing an innovative platform that connects patients, families, health professionals and care-givers through user friendly tools.

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  • Keuzegids Master's - Top Rated Programme

    Data Science for Decision Making best Master's programme in it's category

    Wednesday, March 7, 2018

    The ‘Keuzegids Masters 2018’, released today, ranks DKE's Master programme in Data Science for Decision Making 1st place in the country for the category for Theoretical Master for Computer Science. Due to its high score, it has also received the "topopleiding" seal, which means that it belongs to the best Masters programmes in the Netherlands.

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  • cluitmans 1

    The hybrid researcher

    Thursday, February 15, 2018

    Research that transcends individual disciplines is highly regarded in academia, yet known to be incredibly challenging. Matthijs Cluitmans demonstrates that it is not only possible, but also of great added value. He obtained a joint PhD in 2016 from the Department of Data Science and Knowledge Engineering (DKE) and the School for Cardiovascular Diseases (CARIM). Before that, he studied both disciplines in Maastricht, and he now works for both institutes as well as at Philips Research.

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  • Innovative Data Science research project wins award

    Thursday, January 25, 2018

    A research project titled 'Intelligent games for assessing cognitive, social and physical capacities of elderly and children' was awarded a prize at the Pre-Dies Natalis symposium 'The Future of a Data-Driven Society'.

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  • ijskast datascience

    The risks of convenience

    Thursday, January 18, 2018

    The EU-wide General Data Protection Regulation (GDPR) will oblige companies to have a data protection officer, to inform authorities and affected individuals of security breaches, and to invest in data encryption and intrusion prevention and detection systems. This should improve the security of sensitive personal data – but it is important to remember that there’s no such thing as a perfectly secure system, according to Apostolis Zarras, cybersecurity expert.

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  • Data science and medical research

    UM alumni work to streamline informed consent procedure

    Thursday, January 11, 2018

    Cut red tape in healthcare and facilitate research: this is what three UM graduates are hoping to achieve with their newly established company, Consense Data Exchange. They recently completed the two-month Brightlands Blockchain Incubation Programme, fleshing out their innovative concept involving transparent data practices. The idea won them first prize at the Hack4SmartServices Hackathon in Heerlen in May 2017.

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  • infinity games

    Computer game researches compositions and harmony in the arts

    Monday, January 8, 2018

    Maastricht researchers are bridging the gap between art, data and computer science

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  • DKE - Ancient games and Artificial Intelligence

    Ancient games and Artificial Intelligence

    Tuesday, December 12, 2017

    Dr Cameron Browne comes from a game-playing family: ‘My mother valued the developmental potential of games, and my grandmother was the meanest Scrabble player I’ve ever encountered’. It is therefore not a coincidence that Browne has spent a large portion of his academic life researching games and has been awarded an ERC consolidator grant of €2 million to start up a five-year research project called the ‘Digital Ludeme Project’.

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Calendar

    • Photo by Maastricht University, Department of Data Science and Knowledge Engineering

      Interested in finding out what it is like to study our BSc in Data Science and Knowledge Engineering programme? Come and visit us at the upcoming Bachelor Open Day on Saturday, October 13, 2018 at the Tapijnkazerne, Maastricht! Registration for the Open Day is now open: https://www.maastrichtuniversity.nl/events/bachelors-open-day

      Check out the after movie of last year's BOD, featuring DKE's Konstantin as student reporter and BY3 students (and very soon to be graduates ;-)) Jade, Kamil and Nordine.

      2 hours 24 min ago
    • Maastricht University, Department of Data Science and Knowledge Engineering shared IEEE CIG 2018 Maastricht's post.

      IEEE CIG 2018 Maastricht
      2 hours 45 min ago
    • Photo by Maastricht University, Department of Data Science and Knowledge Engineering

      On July 12, 2018 Bachelor DKE year 2 students successfully presented their research in the context of the DKE Honours programme MaRBLle 2.0. This past academic year, Marta Davila Mateu, Marion Meyers, Frederik Calsius, Ryan Yared, Hermann Ritter and Albert Negura have researched Intelligent Game Device for Assessing Cognitive and Physical Abilities (under the supervision of Dr. Rico Möckel). They looked into the various aspects of how you can monitor the abilities of children without the children actually being aware that they are being monitored. To achieve this they explored the use of techniques such as CNN (convolutional neural networks) for speech recognition and gesture recognition. This project has already won the Data Science Research Proposal award at the occasion of the launch of the Data Science Community at Maastricht University in January this year. Very promising research!

      4 days 12 hours ago