This degree programme is unique through its dual emphasis on specialist training in the area Cognitive Neuroscience, as well as on generic, transferable research skills for career and professional development.
The course is based on a core curriculum of six taught modules and a research dissertation. The taught modules provide a detailed and critical understanding of contemporary research and analysis methods used in Cognitive Neuroscience, as well as generic professional development and research-related communication skills.
Students will acquire comprehensive research experience from working with researchers of international standing. The programme is especially recommended to graduates who want to: -Specialise in the area of Cognitive Neuroscience -Continue to do a PhD, or get a feel for research before embarking on a PhD -Enhance their CV by a research-related Masters qualification
Modules and content: -Introduction into Cognitive Neuroscience -Mini-project in Cognitive Neuroscience -Advanced Statistical Analysis -Advanced Methods in Cognitive Neuroscience -Advanced EEG and MEG Methods in Cognitive Neuroscience -Communication skills in Research / Professional Development
In addition, students will complete a -Research Dissertation
Learning, teaching & assessment
The course is delivered mainly through lectures, which are often followed up by laboratory-based practical sessions. The course is assessed by a combination of coursework, examinations, practical work, oral and written presentations, and the dissertation project.
Career prospects & Personal Development
This programme is designed to provide postgraduate-level education and training for graduates who want to specialise in the area of Cognitive Neuroscience, continue to do a PhD, or enhance their CV by a research-related Masters qualification.
Previous students on this programme have moved on to: -PhD studies: destinations of recently successful PhD applicants include Aston, Cardiff, Derby, Liverpool, Sussex and Warwick -Research-related roles: e.g. Research Assistant, Data Analyst (for example for the NHS) -Education: e.g. Science Teacher, Educational Consultant