Specialisation in the Bachelor’s programme in Data Science

In the final third of your studies, you can specialize individually according to your career goals. To do this, you choose a total of eight elective modules from four specializations, which you can combine freely. The range of elective modules is continuously updated and expanded – below you will find a representative selection.

Artificial Intelligence

You deepen your methodological skills in applying deep learning to a wide range of data types and application domains.

Artificial Intelligence
Time Series Prediction
Computer Vision with Deep Learning
Reinforcement Learning
Responsible AI
Machine Learning Operations

Healthcare

You process medical data, analyze images and use AI to improve diagnosis and treatment.

Clinical Information Systems
Biomedical Systems
Data Science in Health
Explainable AI in Medicine

Finance

You analyze financial data, model risks, predict market movements and develop AI systems for sustainable investment decisions.

Introduction to Financial Markets
Advanced Time Series in Finance
Actuarial Mathematics
Risk Engineering

Industrial Manufacturing & Automation

You optimize production processes using machine learning, develop predictive maintenance models and apply AI in robotics and automation.

AI in Engineering
Data Science in Industrial IoT
Quality Assurance
Modelling Complex Systems

To be able to act confidently in your professional life, you need more than just technical knowledge. Accordingly, you also attend contextual elective modules in which you acquire competencies in sustainability, innovation and technology management, business and finance, or project and conflict management. In addition, you choose an interdisciplinary elective module from a broad spectrum (e.g. blockchain technologies, safety and systems engineering, and much more).