Pandemic Sciences Msc

Overview This unique MSc programme will provide you with a breadth of interdisciplinary expertise and practical role-play in the epidemiology, immunology, control and management of epidemics and pandemics in a One Health (i.e., integrated medical and veterinary) context led by leading experts in their respective fields. With a core syllabus in Infection & Immunity, the MSc in Pandemic Sciences takes you from the laboratory bench into the highly topical field of mathematical modelling to understand how pandemics spread and how to slow them down. You will also work through an Outbreak Scenario across two semesters, where you will come to understand the critical role of policy, communication and the media in the success (or otherwise) of translating scientific knowledge into effective disease control. This programme will enable you to further develop your skills in communications and statistics beyond undergraduate level and will train you to critically evaluate and synthesise aspects of infectious diseases and immunology with practical applications in public health and outbreak control. It will also equip you for a range of timely career opportunities in the ongoing pandemic response - and future disease control and public health implementation - across the medical and veterinary sectors in academia and industry, as well as in government departments, international charities and NGOs. Career prospects Past graduates of the School of Life Sciences have continued their academic careers as research assistants or pursued further study leading to a PhD. Graduates have also developed careers in conservation or qualified to immediately go into industries. There is a demand currently for graduates with specialisations in science or computing to enter the teaching profession. Commercial sectors such as the pharmaceutical, biotechnology and agriculture industries will be possible employers of graduates, especially with the anticipated increases in the use of next-generation sequencing and the corresponding data analysis that will be required.