Data is collected everywhere and at all times. And as a result, these days our society has access to vast amounts of data. But how do you analyse this data to provide useful information for the economy and society? The Data Science professorship of applied sciences sets its sights on this question, thereby functioning as an engine for innovation in the region.
Data science involves converting raw (sensor) data into (useful) information and knowledge. Vast amounts of data, after all, do not mean much on their own. It is only after analysis, identifying patterns and possibly the visualisation of these patterns, that this information becomes valuable. Often new trends are discovered, and data can even answer questions that were not originally asked. Businesses and organisations can improve their products and services based on Data Science. The Data Science professorship therefore contributes to the further development of smart industries in the north of the Netherlands. Education in this area is also promoted.
The professorship of applied sciences works closely with the professorship of applied sciences Computer Vision in a single research laboratory. Together they form the Centre of Expertise in Computer Vision & Data Science within higher vocational education in the Netherlands.
Supercomputer and Computer Vision
The professorship uses the new supercomputer, Deep Frisian, for its research. This computer, with its 14,000 processors and 512 GB internal memory, has more computing power than 100 PCs combined.
Data Science is closely connected with the field and professorship of Computer Vision. Both professorship s work together on the automation of visual inspections, such as inspecting arable land with smart civil drones and inspecting wind turbines.
With whom do you collaborate?
The research carried out by the Data Science professorship is aimed at questions coming from the work field. For example from the Region or Smart Factories, the 40 businesses and knowledge partners from Northern Netherlands that are united in order to develop intelligent, connected and customised production processes.
NHL Stenden University of Applied Sciences is also part of this network. The Data Science professorship is a collaboration between NHL Stenden University of Applied Sciences and RuG/CampusFryslân. This guarantees a connection between practice-based research and scientific research.
The Data Science professorship falls under the Research Unit of the Technology & Innovation Academy, together with the Computer Vision, Sustainable Plastics, Circular Plastics and Water Technology professorships of applied sciences. The professorship is linked to the Smart Sustainable Industries spearhead of NHL Stenden University of Applied Sciences.
The Computer Vision & Data Science professorships offer every semester the opportunity to work within the research laboratory on a research assignment in the field of Computer Vision & Data Science. This in the form of a minor or (graduation) internship. The semester starts with a two-week Kick-Off course in which the basic principles of Computer Vision & Data Science are taught. Then the students are linked to a project and intensively supervised by the team. More information and the registration option can be requested from our secretariat.
The Data Science research group is headed by Ioannis Katramados, professor of applied sciences. His goal is to prepare young scientists and engineers in the north of the Netherlands for the new generation of data scientist that the field needs.
NHL Stenden University of Applied Sciences
Academy Technology & Innovation
Professorship Data Science