Master in Einblicke in den Studiengang

Students eager to apply knowledge of programmiersprachen and technologies to real-world problems will thrive on the interdisciplinary Master programme. The curriculum covers the entire data lifecycle, from data collection and preparation to analysis and visualisation, alongside practical applications of machine learning and artificial neural networks.

Data Science Projects

Students will learn to identify opportunities and generate value through effective data management and application of KI algorithms, all while adhering to ethical standards and data protection laws. The curriculum is grounded in practical application, teaching students to use relevant technologies to prepare them for careers as data scientists in a range of industries.