馬斯特里赫特大學(xué)

Knowledge is central to modern society. Smart chips help companies keep track of goods and manage supplies and stocks. New, high-tech communication devices, such as mobile phones, navigation instruments and digital cameras, are greatly enhanced by intelligent software and medical and biological engineering help medical doctors arrive quickly at accurate diagnoses.

As a Data Science and Knowledge Engineering student, you'll study methods to approach new challenges in these important areas. You’ll generate new knowledge by gathering and ordering valuable information using mathematics and intelligent computer techniques. The knowledge you'll acquire can in turn be used to take decisions or solve problems efficiently.

In contrast to more traditional programmes in computer science and mathematics, Knowledge Engineering takes a targeted, practical and applied approach. You'll learn to build bridges between theory and practice and you’ll be able to apply solutions to data problems in a broad range of settings, such as logistics, robotics and medicine. You’ll use techniques from:

• computer science, with an emphasis on software, programming, algorithms and logic
• applied mathematics, including the practical application of major mathematical concepts, methods and techniques
• artificial intelligence, including ways to reason using available knowledge and an introduction to machine learning and intelligent search

The programme will provide you with a broad base in mathematics and computer science, but it also includes courses on knowledge management, cognitive psychology, logic and the philosophy of science.

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.