Health Data Science (Epsrc Centre For Doctoral Training)

About the course The Oxford EPSRC CDT in Health Data Science offers opportunities for doctoral study in computational statistics, machine learning and data engineering within the context of ethically-responsible health research. The Oxford EPSRC Centre for Doctoral Training (CDT) in Health Data Science offers a four-year doctoral programme, beginning with the training year, which consists of two terms of intensive training in core data science principles and techniques followed by a third term where students undertake two 8-week research placements in two of their chosen research areas. It is expected that one of these projects will become the basis of the student’s doctoral research, carried out in the following three years. Taught modules and subsequent research supervision are provided by leading academics from the departments of Computer Science (the host department), Statistics, Engineering Science, the Nuffield Department of Medicine, and the Nuffield Department of Population Health. Assessment Modules are assessed in different ways, though usually through project work. Data Challenges are assessed through group presentations on the final day of the Data Challenge. Research placements are assessed with a written report. Health Data Ethics is a core part of the curriculum and the doctoral dissertation. During the first year ethics will be assessed by presentation. Students will be asked to provide a short presentation of the ethical issues arising in each of their third term placements. Graduate destinations This is a new course and there are no alumni yet. It is expected that graduates will be well placed to take on leading roles in industry, academia and the public sector.