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MSc in Health Data Science

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1 / Subjects

  • Scientific programming

  • Biomedical statistics

  • Medical imaging

  • Health data visualization and communication

  • High-performance and distributed computing

  • Advanced health data analysis

  • Machine learning

  • Citizens and patients activities

  • Electronic health records

  • Biomedical data challenges

  • Ethics, regulation and privacy

  • Project and research methodologies

  • Tools for neuroengineering and neuroimaging

  • Health data integration

  • Advanced medical image analysis

  • Business lab

  • Text mining for healthcare

  • Computer-aided diagnosis and decision making

  • IOT and AI for health

  • Deep learning

"As I pursue this master's degree, I am excited to unlock the future of healthcare and gain essential digital skills that are transforming the industry. I will delve into scientific programming, biomedical statistics, and advanced health data analysis, while mastering cutting-edge technologies like machine learning and deep learning. By completing this degree, I am preparing to make a significant impact in the evolving landscape of health technology, driving improvements in patient outcomes." Celica

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