The master's program features two majors designed to foster deep technical expertise and practical skills aligned with the latest technological advancements and industry standards.
Specialisation areas
Electives
The programme is complemented by a wide range of electives, including relevant topics such as Information Visualisation, Mixed Reality Technologies or Deep Learning & Explanable AI. By choosing your specialisation, electives, master's project and thesis, you become the architect of your very own educational profile. Here is an overview of the topics and electives:
Data Science and Machine Learning
- Information Visualisation & Visual Analytics: Focuses on key concepts and methods for encoding and presenting large data sets using interactive visualisation methods
- Predictive Modelling: Covers models from data science and machine learning to develop generalised models for predicting data or future events
- Deep Learning & Explainable AI: Focuses on in-depth knowledge of cutting-edge deep learning and neural networks
- Generative AI: Covers theoretical and practical knowledge in the field of processing, analysis and generation of multimedia data
Simulation
- Mixed Reality Technologies: Focuses on human-centred approaches to AR/VR and the implementation and evaluation of AR/VR prototypes
Entrepreneurship
- Creative Entrepreneur & Corporate Innovation: Covers the development of a business plan for a digital product or service, including the first steps as an entrepreneur
Human-Computer Interaction
- Selected topics in Human-Computer Interaction: Covers the latest theories, methods and interaction paradigms in the rapidly evolving field of HCI