On successful completion of the programme students will be able to:
- Demonstrate a comprehensive knowledge and understanding of the current state-of-the-art methods in AI/ML and their possible applications to biological and medical data.
- Understand the research questions and possible applications in these fields that can be solved using AI/ML.
- Understand the nature and structure of biological and medical data including those produced by omics and imaging methods.
- Understand the design of biological and medical research projects.
- Understand how to use medical and health information systems.
- Demonstrate a knowledge and understanding of the ethical and privacy issues associated with the use of medical and biological data and analysis results.
- Apply AI/ML applications that can drive the discovery and development of new and highly innovative biomedical and biotech methods and products.
- Demonstrate skills in problem-solving and incorporating critical thinking and decision-making into a variety of clinical, biopharmaceutical, and biological research applications and environments.
- Demonstrate the analytical and technical skills required for the analysis and interpretation of different data types in the exploitation of scientific discovery and development in industrial, academic and clinical settings.
- Work with data from biological and biomedical databases and e-health information systems.
- Incorporate ethical and data governance considerations into the analysis of patient and research data that satisfy concurrent data protection frameworks in the era of GDP