Partner program master

Data Science for Decision Making

***Awarded 'Top Rated Programme' label, Keuzegids 2019***

 

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

  • Math/Maastricht, an alternative guide to the city

    Math/Maastricht, an alternative guide to the city

    Wednesday, March 13, 2019

    What do the Basilica of Saint Servatius, the bear pit at Aldenhofpark and the gate to the university library have in common? One: they’re special places to visit, and two: they all somehow remind Maastricht University’s math-oriented researchers of their work.

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  • keuzegids masters 2019

    UM number one in ‘Keuzegids Masters 2019’

    Wednesday, March 6, 2019

    According to the Keuzegids Masters 2019, Maastricht University is the best university in the Netherlands, a shared position with the Rijksuniversiteit Groningen. 

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  • Thomas Cleij appointed as new Dean of the Faculty of Science and Engineering

    Thursday, February 28, 2019

    The Executive Board of Maastricht University (UM) has appointed Prof. dr. Thomas Cleij as the new dean of the Faculty of Science & Engineering.

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  • Philippe Debie

    Odd one out: student presents bachelor thesis at esteemed conference

    Wednesday, February 20, 2019

    Philippe Debie is literally going the extra mile to present his bachelor thesis at a renowned international conference in Santiago, Chile.

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  • ICT4Life

    ICT care solutions for patients with Alzheimer’s or Parkinson’s Disease

    Tuesday, February 19, 2019

    As part of the European consortium behind the ICT4Life project, Dr. Stelios Asteriadis and his group developed personalized care solutions for patients with neurodegenerative disorders.

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  • Penros and students

    The Road to Maastricht

    Thursday, January 31, 2019

    What would you ask someone who, in the words of the organizers, played a major role in the story of science in the last 70 years?

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  • roger penrose

    Sir Roger Penrose at the Faculty of Science and Engineering

    Wednesday, January 23, 2019

    The Faculty of Science and Engineering welcomes Sir Roger Penrose, emeritus Professor of Mathematics of the University of Oxford, for a two-day visit to Maastricht.

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  • KE@Work - Cake

    Five years KE@Work, more A-team than Beauty and the Beast

    Monday, January 21, 2019

    What makes the KE@Work partnership unique, and which philosophy is behind the programme’s collaboration?

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  • thuijsman weiss

    Solid as a cloud

    Thursday, January 10, 2019

    With his new project Solid, the inventor of the World Wide Web, Tim Berners-Lee, tries to give users back ownership of their data. The internet hasn’t developed in the way he intended it. Data science progresses at a dizzying pace – are the people in the driver’s seat aware of their responsibility? We asked Gerhard Weiss, Professor of Computer Science and Artificial Intelligence and Frank Thuijsman, Professor Strategic Optimization and Data Science.

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  • Kateřina Staňková

    Kateřina Staňková and team win $50.000 to outsmart thyroid cancer

    Thursday, December 13, 2018

    Kateřina Staňková, assistant professor at the Department of Data Science and Knowledge Engineering (DKE), co-led her team through a great challenge, resulting in a seed grant to advance their strategy to combat thyroid cancer.

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