Use artificial intelligence to address real challenges in healthcare.
Overview
- Educational areaElectrical and Biomedical Engineering
- LanguageEnglish
Important dates
- Application opens
- Application closes
This specialisation focuses on data-driven engineering methods for analysing biomedical and health-related data. You will develop competence in machine learning, deep learning, image analysis, natural language processing, and digital health applications.
You will learn how to design, implement, and evaluate AI-based systems with attention to technical performance, interpretability, data quality, safety, and real-world constraints. Applications may include clinical decision support, biomedical image analysis, predictive modelling, digital health tools, and intelligent healthcare systems.
Graduates may work as machine learning engineers, biomedical data scientists, clinical AI engineers, digital health software engineers, or AI specialists in MedTech and health-tech companies.
Programmes
Requirements
The requirements for the Master's programme Biomedical Engineering apply to this specialisation.
How to select a specialisation
You may choose this specialisation after you have been admitted and enrolled. Only one specialisation can be selected.