Partner program master
Data Science & Knowledge Engineering

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.

  • 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

  • LHCb experiment

    Maastricht officially admitted into LHCb experiment at CERN

    Friday, January 17, 2020

    Maastricht University has been officially admitted into the LHCb experiment at CERN, starting January 2020. At the same time, the Faculty of Science and Engineering installed a new chair, prof. Marcel Merk, on collider physics into the newly founded research group.

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  • Marc Pont, alumnus Data Science for Decision Making

    "I’m surprised by the recentness of the knowledge that I gained"

    Monday, December 16, 2019

    Marc Pont, alumnus of the master's programme in Data Science for Decision Making, discusses the atmosphere, curriculum and job search.

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  • London street

    Research into Japanese puzzles prompts London adventure for master's student

    Tuesday, November 26, 2019

    A love for Japanese culture snowballed into a London conference trip for Lianne Hufkens, master's student Artificial Intelligence.

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  • Prof. Dr. Mark Winands

    Mark Winands appointed as professor of Machine Reasoning

    Monday, November 4, 2019

    Mark Winands has been appointed as professor of Machine Reasoning at the Department of Data Science and Knowledge Engineering (DKE).

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  • klimaatmars

    Marching together to save the climate

    Thursday, September 19, 2019

    Global climate change is an issue that Arthur Bribosia (UCM) and Marion Meyers (DKE) feel very strongly about. Strong enough to take action. Last May, they got 3000 people out on the street to join the first climate march in Maastricht. For the next march, scheduled for 20 September, they’re hoping for 5000 participants.

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  • Chatbot

    UM students develop #MeTooMaastricht Chatbot

    Thursday, September 12, 2019 Read more
  • DKE graduation 2019

    DKE’s Class of 2019: what’s next?

    Tuesday, July 16, 2019

    Following the graduation ceremonies on July 11 and 12, we asked four brand new graduates about their next steps in life. We also asked them to reflect – perhaps for the last time – on their time at DKE.

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  • FSE Hackathon champions 2019

    FSE students place first in international hackathon

    Tuesday, June 4, 2019

    A group of bachelor’s students of the Maastricht Science Programme (MSP) and Data Science and Knowledge Engineering (DKE) won the Eramet challenge at the VivaTechnology Hackathon in Paris during the weekend of 18 May.

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  • Horizon 2020: data-driven law enforcement tools and a new take on architecture and design

    Horizon 2020: data-driven law enforcement tools and a new take on architecture and design

    Wednesday, May 22, 2019

    Two new H2020 projects on the horizon for the Department of Data Science and Knowledge Engineering: Dr. Apostolis Zarras contributes to PREVISION and Dr. Alexia Briassouli strengthens the MindSpaces consortium.

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  • MaTHiSiS Turtlebot

    Smart devices tailor their teaching to your emotions

    Thursday, May 16, 2019

    For the European Horizon 2020 innovation project MaTHiSiS, researchers taught machines how to teach you by learning from watching you learn.

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