In this Hands-on Data Science project, participating students have the opportunity to develop their analytical skills in the field of data science and demonstrate them using a real-world dataset. The aim is to address a specific economic research question based on real data.

As part of the seminar paper, a method from the field of data science is to be applied, with the aim of using its findings to discuss issues in economics. The aim is to implement creative data science solutions within a hands-on data science project. In doing so, students will become familiar with all the steps involved in such a project (from labelling the data to interpreting the results). To this end, we provide real-world data and a specific task, including an evaluation metric against which the success of the implemented methods can be measured. Programming skills (e.g. in Python or R) are advantageous for working on the case, but are not explicitly required. The selected method(s) and their application to economic issues must be described in a short written report.

Selected past tasks from the Hands-On Data Science course:

• Sports analytics in collaboration with FC Augsburg (e.g. classification and categorisation of sprint and jump data using anthropometric data to assist with scouting)
• Rule-based sentiment analysis of online reviews
• Neural Networks for Aspect-Based Sentiment Analysis
• Explainable AI for Credit Scores

Praxisprojekt II will be carried out in the summer semester of 2026 in collaboration with FC Augsburg’s youth academy. FC Augsburg will suggest specific topics, provide students with datasets and act as a point of contact throughout the project.