Course summary

The information provided on this page was correct at the time of publication (November 2023). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas. As a DPhil student in Clinical Epidemiology and Medical Statistics, you will spend up to four years in one of the Botnar Research Centre’s many research groups, working on a research project supervised by one of the principal investigators and your supervisory team. You will take part in the extensive training programme specifically organised for graduate students within the department. This DPhil programme focuses on epidemiology, medical statistics, clinical trials, real world health data, research methodology, artificial intelligence and machine learning, and health economics - aiming to advance healthcare practice and policy to ultimately generate reliable evidence for improving patient care. You will develop your research skills during your first year, including compulsory attendance at the department's fundamentals in biomedical research lectures. During the first term you will develop, in consultation with your supervisor, a training needs plan. Your training will be tailored to your specific project and personal requirements drawing from the vast range of courses available at Oxford and covering specialist scientific methods and transferable skills. Please note that there is no formal taught component of the DPhil in Clinical Epidemiology and Medical Statistics; however, you will develop your research skills through a range of research training in your first year and by attending departmental/institute journal clubs and seminar series. During the first term there is compulsory attendance at core lectures on a variety of research techniques and research areas covered in the department including:

• immunology

• inflammation

• tissue engineering

• clinical trial design

• epidemiology

• rheumatology

• orthopaedics

• musculoskeletal diseases.