Cardiovascular Science (Cardiovascular Technology, AI and Data) University of Oxford

Overview

The Cardiovascular Science (Cardiovascular Technology, AI and Data) programme offered by University of Oxford is a collaboration between the University of Oxford and Imperial College London.

The course is divided into two parts. In year one you will receive theme-specific multi-disciplinary skills training and complete two short projects linked to the DPhil project. In years two to four you will complete your DPhil project.

Features

You will complete a 6-week, full-time (5 days a week) taught induction programme. This will be delivered through a combination of in-person and online sessions. Teaching will be led by a multi-disciplinary faculty spanning biomedical sciences, statistics, computing, engineering, and clinical medicine. You will be exposed to core areas where the department seeks to undertake transformative collaborative research, such as arrhythmias, heart failure, cardiomyopathies and atherosclerotic cardiovascular disease. You will also be taught core principles of artificial intelligence, data science, machine learning, and cardiovascular engineering, with a focus on multimodal data including imaging, wearable technologies, ECG and Holter monitoring, omics, and electronic health records.