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Work alongside world leading researchers. Get hands-on experience with our specialist facilities and gain the skills required to pursue a PhD or research career in cognitive neuroscience or related disciplines.
Our psychology research has been classified as world-leading and internationally excellent in the Government’s 2014 Research Excellence Framework (REF).
On our course you will gain solid theoretical knowledge and essential practical research skills currently used in cognitive and clinical neuroscience. In lectures, seminars, and practical workshops, you will learn about neuroanatomy, and how to interpret Magnetic Resonance Imaging (MRI) and electroencephalography (EEG) data.
This course offers the benefit of practical research skills such as, administering neuropsychological assessments for clinical and research purposes, analysing statistical data, and how to analyse MRI data.
For your dissertation you will have the opportunity to independently research an area you are passionate about. Supported by lecturers who are prominent researchers and longstanding members of Cambridge’s world-renowned research community.
Please note that this course does not include clinical work with children, patients or mental health service users. This course does not constitute professional training, though it can support entry to a Doctorate in Clinical Psychology (or equivalent). We encourage you to seek out relevant paid or voluntary experience while completing your studies; our course is designed to facilitate this.
You could pursue further postgraduate study or research, work for universities, hospitals or research units active in cognitive psychology and/or the brain sciences. You’re also in the perfect position to continue your academic career and move up to our Psychology PhD.
MODULES & ASSESSMENT
Imaging and Diagnostics in Cognitive NeuroscienceYou will learn about the strengths and limitations of the various imaging techniques currently available to investigate the relationship between mind and brain. These include methods such as structural and functional neuroimaging (sMRI, fMRI, and PET), electroencephalography (EEG), magnetoencephalography (MEG), and neuropsychological approaches. This course covers the methodological foundations of cognitive neuroscience, including brain neuroanatomy and neuropsychological assessment. This course also includes a practical introduction to SPM 12, which is a program widely used for analysing brain imaging data.
Current Theoretical Issues in Cognitive NeuroscienceIn this module cover the theoretical foundations of the cognitive neuroscience approach and will address many of the leading topics in the field. These include memory and learning, face and visual object processing, language, central executive function and intelligence. The module will cover past and present research, although the emphasis will be on currently unresolved theoretical debates.
Issues in Scientific ResearchThis module is designed to help introduce you to the theoretical and practical complexities of the research process. The module will cover both qualitative and quantitative techniques, and it is aimed as a series of taster sessions. If you feel any of the techniques suits your research, your supervisor, and expert members of staff, will help you learn more about your chosen technique. Research training in the form of literature searching, constructing literature reviews, communicating and publicising your work will also be covered. Additional areas to be covered in this module include: The research process, research techniques, research ethics and scientific writing skills. This module is delivered face-to-face over 24h of lectures (2h per week) and requires 264h of student managed learning (11 hours for workshop preparation, 75h for reading and writing essays and 78 h for writing the portfolio) totalling 288h hours of learning activities.
Quantitative Research MethodsDevelop a critical understanding of the principles of data collection and analysis for psychology and consider the theoretical basis of advanced quantitative methods. You will analyse example data sets using general linear models such as ANOVA, MANOVA, ANCOVA, multiple linear regression, and factor analysis. You will learn about good reporting practices and will learn how to report and interpret complex results. These chosen statistical methods have been directed by the Economic and Social Research Council’s Postgraduate Training Guidelines (fourth and fifth editions).
Masters ProjectYou’ll chose an independent research topic from an area of expertise within our department (subject to availability of suitable supervision) and will conduct a significant research project in that area which may involve a literature review, data collection, analysis and a write-up. The final piece of work should be equivalent to a maximum of 12,000 words.