Partner program master

Data Science for Decision Making

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.

This programme is taught by the Department of Advanced Computing Sciences.

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Take our online tour

What's it like to study at the Department of Advanced Computing Sciences? Find out through the online tour, featuring in-depth information about our teaching method, our favourite memories of the past year, the opportunity to talk to students, a building tour, snacks and more.

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Master's Open Day March 2019

 

Kickstart your career at our Master's Open Day

Experience Maastricht University: find out more about one of the most international universities in Europe, immerse yourself in your programme of choice, and explore our beautiful city. The next Master’s Open Day is on Saturday 19 March 2022.

  • I’m surprised by the recentness of the knowledge that I gained
    Marc Pont, Data Science for Decision Making
  • 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

  • Michel Dumontier, Ellen Narinx-Schrauwen and Mark Winands

    New ‘supergroup’: DKE and IDS jointly become Department of Advanced Computing Sciences

    Friday, June 17, 2022

    The new department broadly covers research and education in artificial intelligence, computer science, data science, mathematics and robotics. Over 100 staff members find their home in the new group, which is embedded in the Faculty of Science and Engineering.

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  • Thesis awards for Data Science and Artificial Intelligence students

    Tuesday, May 17, 2022

    Congratulations to Anna-Lena Krause, Krzysztof Cybulski and Frederik Calsius!

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  • Professor David Groep

    David Groep appointed as endowed professor of e-Infrastructure

    Tuesday, May 3, 2022

    As of 1 April 2022, David Groep holds an endowed chair at the Department of Data Science and Knowledge Engineering. His work revolves around the complex, large-scale ICT infrastructures that provide a foundation for similarly cutting-edge research.

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  • LHCB CERN

    SURF joins Maastricht University and partners in efforts in the field of quantum computing

    Tuesday, April 5, 2022

    Maastricht University, Nikhef, CERN and SURF will address some specific challenges for the LHCb experiment in order to determine which elements of the data analysis chains are best suited for a quantum computing approach.

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  • Green Transport Delta

    Multi-million investment jump-starts ambitious Dutch mobility programme

    Tuesday, November 30, 2021

    Two large consortia of Dutch companies and knowledge institutes in the mobility and transport sector will receive 47 million euros in government funding to realize breakthroughs in electrification and hydrogen applications in automotive, maritime and air transport.

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  • Mateusz Wiza, winner of the 2021 Q-Park Student Award

    DKE student wins Q-Park Student Award

    Thursday, November 4, 2021

    Q-Park announced the winners of its annual Student Awards this week. Mateusz Wiza was one of the winners to receive a €1.500 cash prize for his thesis.

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  • Prof. Nava Tintarev

    ROBUST and reliable: UM part of 10-year AI research programme

    Wednesday, October 6, 2021

    Professor of Explainable Artificial Intelligence Nava Tintarev will be a co-investigator and chair for the integration of humanities and social sciences in ROBUST, a consortium applying for an NWO grant with a total budget of 95M (25M from NWO) to carry out long term research into reliable artificial intelligence (AI).

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  • ROBUST Consortium

    UM part of ROBUST: Trustworthy AI-based systems for sustainable growth

    Tuesday, September 21, 2021

    To realise the promise of artificial intelligence to contribute to today’s societal challenges, trust is a central component of the interaction between people and systems based on artificial intelligence.

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  • Prof. dr. Nava Tintarev

    Meet Prof. Nava Tintarev, full professor of Explainable Artificial Intelligence

    Wednesday, June 2, 2021

    Prof. Nava Tintarev joined Maastricht University in October of last year. She focuses on Explainable Artificial Intelligence, which has an important societal component to it.

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  • Jerry Spanakis

    An open book that doesn’t make sense

    Tuesday, May 18, 2021

    DKE’s Jerry Spanakis on responsible machine learning models, what algorithms can and can’t ‘understand’ and why that matters to all of us.

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