Visit DKE during the Bachelor Open Day this Saturday, grab a piece of vlaai and talk to some of our prospective students - we will be in our building in Tapijn Z!
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
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.
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'.
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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