MSc Social Neuroscience - Part-time
Humans’ social nature is based on neural, hormonal, and molecular structures and networks that we have started to understand only relatively recently. This includes studying the processes behind the sensation and perception of social stimuli, and the behaviours associated with social interactions. This highly progressive Master’s programme is designed to give you excellent learning opportunities in Social Neuroscience – supported by our department’s enthusiastic, supportive teaching staff and a technology-enriched learning environment.
You’ll have the chance to explore issues from a variety of perspectives, underpinned by a research-informed knowledge base, as you develop an in-depth knowledge of Social Neuroscience. You’ll also be encouraged to refine and enhance your critical evaluation and reflection skills.
As you progress, you’ll have the opportunity to enhance your research skills, to help you conceptualise, design and implement a substantial piece of independent research. This, in turn, offers you a unique opportunity to contribute to the ongoing development of new ideas and approaches in Social Neuroscience.
Successfully completing this course will open up a wide range of opportunities for employment, or further study at doctorate level.
To take into account
Graduates of this course will have a thorough grounding in the neural mechanisms underpinning human social perception, cognition and behaviour. On successful completion you’ll possess a range of highly transferable skills, such as oral and written communication, and the management and analysis of complex data sets. This MSc is designed to prepare you for a potential career in research, and is also relevant to those with an interest in clinical psychology or in work in the biomedical sector.
As a graduate you’ll be able to demonstrate knowledge and skills that are highly valued both in academic research and the clinical professions. Undertaking the MSc in Social Neuroscience can help you to access roles within healthcare, science, the media, business and education. Some students will be professionals in a caring/educational field already, and will be doing this course as part of their professional development. The MSc is an ideal platform from which to progress to PhD studies, particularly in Cognitive or Social Neuroscience. You’ll also be well-placed to undertake further professional training in Clinical Psychology, or a related discipline. Alternative Career Options Lecturing Research and development Medicine Biotechnology and contract research Human resources Social work Counselling Family mediation and support Nursing Child psychology Police Media and advertising Communications Sport psychology Pharmaceuticals Clinical sciences Publishing
You should have an Upper Second Class (2.1) Honours degree (or higher) in Psychology, which is accredited by the British Psychology Society for Graduate Basis for Registration (GBR) of the British Psychological Society (BPS). If you have a Lower Second Class (2:2) Honours degree in Psychology or a related subject (e.g. Neuroscience), then you may be accepted on to the programme following a successful interview. We may also ask you to provide a portfolio of your work, as part of the application process.
Key Features: Enthusiastic, dedicated and supportive teaching makes this an engaging and exciting postgraduate opportunity. The course curriculum explores issues from a balanced range of perspectives, and is supported by a research-informed knowledge base. This is an exciting programme of study with a strong emphasis on research and critical enquiry. Learning and teaching is student-centred and involves small group sessions and one-to-one tutorials. This is supported and enhanced by the University’s virtual learning environment. The programme includes a lab-based work experience module that gives you access to live research projects within the School of Education and Psychology.
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What you'll learn on the course
- Skills and Training
- Part Time
- Social research
- Evaluation and Design
- Quantitative Inquiry
Modules listed below are a mixture of compulsory and optional. You may not have the opportunity to study all the modules as part of the course.
- Psychological and Social Research: Review, Evaluation and Design
- Quantitative Inquiry 1
- Quantitative Inquiry 2
- Advanced Social and Cognitive Neuroscience
- Social Neuroscience Techniques
- Social Neuroscience Laboratory Practical
- Psychology Dissertation
You’ll experience a diverse range of teaching methods, designed to complement each other and help you achieve the course’s intended learning outcomes. You’ll attend lectures, seminars, workshops and lab sessions – but we also expect you to support this with significant independent reading and investigation, as well as completing seminar-related work and preparing for workshops, presentations and group discussions. Some modules will require you to follow up taught sessions by using online resources and completing complementary tasks.
Assessment methods are also varied, allowing you to demonstrate your learning in a range of ways. For example, module assessments may require you to complete reports, essays, presentations, literature reviews, or review journal articles, write up laboratory tasks, complete short question and answer sessions relating to statistical analysis, and present reflective journals.Disclaimer
The university will use all reasonable endeavours to deliver your course as described in its published material and the programme specification for the academic year in which you begin your course. Please be aware that our courses are subject to review on an ongoing basis. The content of course modules and mode of associated assessments may be updated on an annual basis. This is to ensure that all modules are up to date and responsive to employment and sector needs. The published course material and the programme specification contain indicative ‘optional modules’ that may be subject to change due to circumstances outside of our control. For this reason we cannot guarantee to run any specific optional module.