MSc Health Data Science
Course Overview
This Master's programme prepares graduates from biomedical, clinical, and computational backgrounds for careers at the intersection of AI and healthcare. Students will learn to design and perform advanced analyses to solve practical medical questions using cutting-edge computational methods. The curriculum provides comprehensive training for health data science roles within academia, industry, and national health services.
Key Program Highlights
- Focus on applying AI and machine learning techniques to clinical and biomedical data
- Training in clinical bioinformatics, health informatics, and integrated multimodal data analysis
- Designed for students from both medical/clinical and computer science/mathematics backgrounds
- Prepares graduates for high-demand careers in academia, the healthcare industry, and national health services
- Led by active researchers with expertise in AI applications for cancer risk prediction and clinical bioinformatics
Course Overview
This Master's programme prepares graduates from biomedical, clinical, and computational backgrounds for careers at the intersection of AI and healthcare. Students will learn to design and perform advanced analyses to solve practical medical questions using cutting-edge computational methods. The curriculum provides comprehensive training for health data science roles within academia, industry, and national health services.
Key Program Highlights
- Focus on applying AI and machine learning techniques to clinical and biomedical data
- Training in clinical bioinformatics, health informatics, and integrated multimodal data analysis
- Designed for students from both medical/clinical and computer science/mathematics backgrounds
- Prepares graduates for high-demand careers in academia, the healthcare industry, and national health services
- Led by active researchers with expertise in AI applications for cancer risk prediction and clinical bioinformatics
