Honours students apply AI to brain scans and credit scores in hands-on data science course
Honours students applied AI to real-world problems like stroke prevention and credit score prediction. They gained hands-on experience through intensive Python training and diverse projects.
Data science for beginners: honours students apply AI to real-world problems
26 June 2025
Brain scans, heart attacks, credit scores – many scientific fields involve large amounts of data. The challenge is extracting meaningful insights from it. In a Bachelor Honours Class, students learn how data science can support their own disciplines through practical AI applications.
Bootcamp: Building a foundation in Python
The Honours Class in Data Science is an introduction, but students face a steep learning curve from the start. The first few weeks consist of an intensive bootcamp focused on mastering Python programming basics. Soon after, students apply these skills directly to their individual research projects.
Diverse projects, promising outcomes
The students recently gathered in the Gorlaeus building to present their findings. The variety of subjects was broad by design. Instructor and data scientist Marieke Vinkenoog explains, “Each team was free to design their own research plan. It’s clear students want to apply data science within their own areas of study.”
AI for stroke prevention
One standout project came from Sem (21, Biopharmaceutical Sciences) and his team. They explored the use of AI to prevent strokes by analyzing 6,000 brain scans. Three AI models were tested, with one—ResNet18—achieving 97% accuracy. “That’s about as reliable as an expert’s analysis,” says Sem, highlighting its potential as a tool in emergency care.
Predicting credit scores for smarter investment
Another team tackled credit score prediction, focusing on timely economic assessments for investors. Credit scores guide investment decisions but often lag behind current data. The students developed an AI model that forecasts updated credit scores based on economic indicators. Pepijn (21, International Studies) notes, “Exports turned out to be the most significant factor for credit bureaus.” This insight can help investors evaluate risks more accurately.
Industry insights and course reflections
The course included guest lectures from companies such as Picnic, Sanquin, and the Netherlands Forensic Institute, providing students with valuable real-world perspectives.
Though demanding, the Honours Class in Data Science offers students a solid introduction to applying AI in their fields. “You have to put in the hours to learn something new,” says lecturer Marieke. Sem found the guest lectures especially rewarding, while Pepijn appreciates the clearer picture the course gave him of data science’s potential impact on his studies. “I’m interested in how countries grow, and data science can help me explore that,” he adds.
For those looking to build skills in AI and data science, exploring structured courses can provide a practical path forward. More information on such educational opportunities is available at Complete AI Training.
