Master

How can you measure whether learning programs actually contribute to organizational goals? That question formed the starting point of a collaboration between Business Monitor, Relevance Learning, and JADS.

How can a company make sure its platform and data infrastructure keep pace with growing market demand? Through a Master Challenge at JADS, Linde Consult brought that question into an educational setting. What started as a focused assignment around data acquisition and data quality grew into a collaboration that shaped product development, talent, and a new entrepreneurial venture.

JADS collaborated with Arinze on the Smart Pears project, using AI and robotics to sort pears with precision. Students tackled real-world challenges, advancing autonomous sorting systems and gaining hands-on experience in industrial data science applications.

Exsell partnered with JADS in the Causal Inference course, presenting a real-world dataset challenge to students, to see what they did with it. The dataset was aimed at testing students' ability to build models and derive meaningful insights from the data

For her Master thesis Nadine Beks focused on using machine learning to improve letters from government sources like city councils and tax offices. She created and tested different models and found the GPT model was the most effective in making letters easier to understand.

Our Data-driven Service Innovation (DDSI) course challenged a class of motivated JADS students to assess and improve the current service offerings and business model of our industry partner, Datacation, using the knowledge they learned in class.