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.
- learn to extract valuable information from large datasets
- analyst, researcher, or manager; career opportunities are diverse
- no numerus fixus
- 2-year, full-time master’s, taught in English
- starts in September and February
- weekly: 8 hrs classes, 32 hrs group work/individual study
- you’ll get an MSc in Data Science for Decision Making
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.
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
A very nice place in my faculty is the Swarmlab, where you get access to equipment you don’t usually have
New ‘supergroup’: DKE and IDS jointly become Department of Advanced Computing SciencesFriday, 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.
Thesis awards for Data Science and Artificial Intelligence studentsTuesday, May 17, 2022
Congratulations to Anna-Lena Krause, Krzysztof Cybulski and Frederik Calsius!
David Groep appointed as endowed professor of e-InfrastructureTuesday, 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.
In the support section, you can find out more about practical matters and UM regulations, such as:
- visas & residence permits
- Education and Examination Regulations (EER)