MRes Neuroscience

Year 1

(Award available for year: Master of Research)

Learning outcomes

On completion of the programme students should have provided evidence of being able to:
- demonstrate in-depth specialist knowledge of techniques relevant to neuroscience and neurotechnology;
- demonstrate an advanced understanding of concepts, and information informed by knowledge across, or in aspects at, the forefront of neuroscience and neurotechnology;
- demonstrate an advanced understanding of techniques applicable to their own research, advanced scholarship or area of specific interest within the broader area of neuroscience;
- take a proactive and self-reflective role in their work and develop professional relationships with others;
- proactively to formulate ideas and hypotheses and to evaluate these;
- evaluate current issues and research in neuroscience and neurotechnology.

Transferable (key) skills

Masters (taught), Postgraduate Diploma and Postgraduate Certificate students will have had the opportunity to acquire the following abilities, as defined in the modules specified for the programme:
- the skills necessary to undertake a higher research degree and/or for employment in a higher capacity in neuroscience
- evaluating their own achievement and that of others;
- self-direction and effective decision making in complex and unpredictable situations;
- independent learning and the ability to work in a way which ensures continuing professional development;
- critically to engage in the development of professional/disciplinary boundaries and norms.

Assessment

Achievement for the degree of Master (taught programme) will be assessed by a variety of methods in accordance with the learning outcomes of the modules specified for the year/programme and will include:
- demonstrating the ability to apply breadth and/or depth of knowledge to a complex specialist area;
- drawing on a range of perspectives on an area of study;
- evaluating received opinion;
- making sound judgements whilst understanding the limitations on judgements made in the absence of complete data.