Under exceptional circumstances a supervisor may be found outside the Sleep and Circadian Neurosciences Institute/Nuffield Department of Clinical Neurosciences. The allocation of graduate supervision for this course is the responsibility of the Sleep and Circadian Neurosciences Institute/Nuffield Department of Clinical Neurosciences and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. A significant component of the course involves self-directed learning to build on taught materials. You will also be expected to attend a week-long residential school in person at Oxford.

Supervisionįor the purposes of the dissertation you will be assigned a dissertation supervisor, who you will meet with as and when necessary. The recommended bandwidth for the software is 1Mbps. You will also need to ensure appropriate internet connection. You will need a computer (Windows or iOS), webcam and microphone for this course. For these sessions you will be expected to prepare short essays and/or presentations for discussion. These are run using conferencing software, allowing you to interact in real-time with classmates and teaching faculty and will typically last 90 minutes. Lectures are pre-recorded and sent for you to watch in your own time, alongside any relevant reading, case studies and activities. The course is designed to give as much flexibility as possible, whilst still providing necessary support and community.

You will also have to complete two modules in research methods, which will support you as you work on your dissertation.

Sleep Disordered Breathing and Sleep-related Movement Disorders.

Introduction to Sleep Medicine and Methodological Approaches.

During that time you will complete eight modules, providing a comprehensive overview of sleep medicine that is in line with the European Sleep Research Society's teaching and training guidelines.

The MSc is a part-time course, spread over two years. For more information see the full details about this pilot. For this course, the socio-economic data you provide in the application form will be used to contextualise the shortlisting and decision-making processes. This course is taking part in a continuing pilot programme to improve the selection procedure for graduate applications, in order to ensure that all candidates are evaluated fairly.

Scholarships and funding for under-represented groups.

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