Medical Science (Clinical Neurosciences) University of Cambridge

Overview

This Medical Science (Clinical Neurosciences) course from the University of Cambridge will give you experience and training in a variety of experimental and/or clinical research techniques, but will also teach you how to organise research, plan experiments, and read and digest the scientific literature relevant to your research work. Most research groups have weekly or fortnightly meetings in which all members discuss each others work.

However, other skills are also important. You will be required to attend seminars and round-tables, and you will have the opportunity to go to scientific meetings both in the UK and abroad. These bring you into direct contact with prominent and active scientists in  your field from around the world.

You will also give scientific talks yourself. Audiences for such talks are often quite large, and the discussion of your paper is often very lively. You will also be expected to attend courses, that either directly relate to your research (for example, they might teach you a specific skill or expand your theoretical knowledge) or teach you general skills that are important for a well-qualified scientist to know (for example, how to write a scientific paper, use databases, or interact with the media). 

There are a large number of these courses, many of them run by the Postgraduate School of Life Sciences. The Department also has its own series of seminars.

By the end of the programme, students will have:

• a comprehensive understanding of techniques, and a thorough knowledge of the literature, applicable to their own research;
• demonstrated originality in the application of knowledge, together with a practical understanding of how research and enquiry are used to create and interpret knowledge in their field;
• shown abilities in the critical evaluation of current research and research techniques and methodologies;
• demonstrated some self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.