Data Science and Knowledge Engineering graduates have a versatile skillset, they're therefore highly in demand. You can find work in a data scientist or data analyst in a broad range of settings -from small startups all the way down to large multinationals-, or continue on to a career in research. Our alumni work for large multinationals such as Ebay, Océ, and Phillips. You can learn more about some of the things they’re doing in the paragraphs below.
Within Maastricht University, Data Science and Knowledge Engineering graduates can continue on to the following master’s programmes:
- Artificial Intelligence (MSc): a 2-year master’s programme, taught in English. You'll learn to use intelligent computer systems in various applications, from patient diagnosis, image recognition, and traditional games like chess to interactive games, information gathering, and data mining.
- Data Science for Decision Making (MSc): a 2-year master’s programme, taught in English. You'll use applied mathematics to analyse and optimise processes and solve problems, from planning customer services, optimising logistics, and recognising patterns to determining optimal negotiation strategies and detecting valuable data from brain signals.
At Maastricht University, you’ll have a lot of freedom of choice during your master’s. Depending on your interests, you can combine courses from the master’s programmes Artificial Intelligence and Data Science for Decision Making.
Alumni @ Work
Knowledge Engineers develop medical software that improves the quality of healthcare. Their software helps doctors and scientists with medical visualisation and imaging, allowing them to examine and diagnose patients more effectively. They also develop self-diagnosis software and write programs that can automatically distribute the right dosage of medication.
Knowledge Engineering is often used to optimise the design and construction, as well as the operation and maintenance of transportation facilities, whether it be for transportation in the air, on highways, over rail lines, in pipelines, on water, or in space. Applications include the prediction of traffic flows through the analysis of current traffic, demographics, and economic data. But Knowledge Engineers also develop practical applications, such as traffic regulation systems that use dynamic speed limits, toll gates and traffic signs to manage the flow of traffic effectively.
Many Knowledge Engineers help construct, program and operate robots. They develop computer systems that can process sensory feedback and other input information. They also write algorithms that enable robots to adapt to their environment and gain new skills, allowing them to respond to changes and predict what people want.
Data mining is the computational process of discovering patterns in large datasets; it involves methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. You could, for example, extract patterns from a dataset with the purchases of discount card users. But you could also apply this skill to discover the changes in DNA that influence diseases such as cancer.
The semantic web
The semantic web is an extension of the World Wide Web. It allows us to share content regardless of the limitations of applications or websites and it helps machines answer complex human questions. The semantic web can be used in many different situations, it can -for example- be used to compute the shortest route to a destination. But it will also allow you to divert the route and find the road with the best hotels and the most interesting sights.
Our graduates work as:
- Data scientist
- Software engineer
- Systems analyst
- Business intelligence manager
- Process manager supply chain
At companies such as:
Philips, Atos, Ebay, BOSCH, APG, Pie Medical, Vodafone, CBS (Statistics Netherlands), Mediaan and PNA group.
Others continue in research or start their own company.