Seven years of successful cooperation between business environment, students, researchers and lecturers and seven years of creativity, inspiration and education visualised. Together with our partners from APG and Waterschapsbedrijf Limburg we developed innovative datavisualization methods and technologies within this 7th edition of our minor datavisualization.
24 students from different faculties from Zuyd Hogeschool | Zuyd University of Applied Sciences realised more than 20 (!!) approaches that push the boundaries of the current used approaches.

Thanks to the ambitious and smart colleagues Erik Sleijpen, Vincent Sijben, Ellen Pijpers en Roel Bindels for all the effort they put in this project.

Also thanks to the students for contributing such exceptional projects – we got very enthusiastic feedback from our partners about the quality. Furthermore we are honoured to see some of you back in the lab in the thesis period

Finally, we can bring everything together! Our Data Visualization specialization program is gaining significant traction within our university of applied sciences. This semester, we received so many student enrollments that we're considering launching a second parallel course in the future.

We've attracted students from diverse faculties and study programs, including visual communication, communication and multimedia design, software development, and business intelligence—all eager to join us on this educational journey.
This iteration of the program features an impressive lineup of guest contributors from RWTH Aachen University (Human-Algorithm Interaction), Department of Knowledge Engineering – Maastricht University, Lark Info Lab (Alteryx workshop), APG, Province of Limburg, The Research Centre of Data Intelligence, and the Human Data Interaction Lab.

In the coming weeks, students will work on real-world cases from various organizations: APG (Sentiment Analysis), WBL (IoT Sensor Data), and Open Data from the Province of Limburg, CBS, and Etil.

For the first time, we've integrated Visual Design and Web Technologies as a specialized skills track to support our heterogeneous target group. We've also implemented innovative pedagogical approaches, including problem-based learning, blended learning, flipped classroom methodologies, and other contemporary teaching strategies.

The program's growing popularity reflects the increasing recognition of data visualization as a critical skill across multiple disciplines and industries.