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Data Science and Machine Learning technologies raise a number of ethical issues, for example, privacy, transparency, trust, algorithmic bias etc. The CDT in Health Data Science takes ethics seriously, and Ethics and Responsible Research & Innovation is a vertical theme throughout the four years of the course. Our aim in the CDT is to fully embed ethics within the students’ training and research. We will teach students to think about the emerging ethical issues in their own and others’ research within the field and to be aware of research governance and security arrangements for the use of personal health data. Teaching will involve a mix of lectures, problem-based learning, student lead seminars and retreats. All students will also be required to address the ethical issues arising in their research within their doctoral dissertation.