Bournemouth University has one of the largest face-processing laboratories in the UK, and our academic staff have expertise in neuropsychological disorders of face-processing and forensic applications of face-processing research. This expertise is central to the delivery of the course, where you will learn about the detection, management and potential remediation of face-processing disorders, including those with acquired, progressive, developmental or neuropsychiatric origins.
Through the study of contemporary issues in face-processing research, the fascinating programme of study is especially relevant if you hope to become a researcher in this area and/or are seeking further professional development by gaining a unique and relevant qualification in an increasingly difficult job market.
You will also gain key technological skills that are required for face-processing research. There will be training in the manipulation of facial stimuli, instruction in programming, and consideration of methodological issues and experimental design. Using our state-of-the-art research equipment, including eye-tracking, tDCS, EEG and when possible MRI, you will get plenty of practical, hands-on experience. These skills will be fundamental for the research project, in which you will carry out an experimental investigation addressing a novel research question in the field.
Unlike other courses which focus on offender assessment and rehabilitation, this new course will examine the theoretical and investigative aspects of forensic psychology, tracking the criminal justice process from the crime scene to the court room. It is an exceptionally hands-on, practical course, using our unique on-campus Crime Scene Training Centre together with Psychology Testing Suites with the latest eye-tracking and face-processing equipment.
As well as the underlying theories regarding the psychology of investigations and considering areas such as how face processing can assist identification of individuals, you will explore different offence types - sexual offending, murder and violent crime, group offending (including terrorism, hooliganism and rioting), and different forms of cyber-crime (e.g. hacktivism and on-line sexual abuse).
You’ll be expected to investigate and scrutinise violent mocked-up crime scenes to provide written and verbal evidence, learning how to present expert witness testimony in a mock court.
You will evaluate victims, witnesses, suspects and offenders, environment, geography and time, working with practitioners who create fieldwork, case studies and exercises based on their real experiences.
Guest speakers sharing their knowledge will be an integral feature of the course, as will Terri Cole, the course leader's own experiences as a Behavioural Investigative Adviser and Serious Crime Analyst. Terri worked for a number of years with police forces providing offender profiling, crime scene assessment and offence linkage advice in relation to serious sexual offences and murder. She brings her expertise and experience together to focus on crime scene behaviour and how psychology can assist investigations on this new course.
Studying both cognitive neuroscience and neuropsychology will give a thorough grounding in the scientific investigation of the neural mechanisms underlying human behaviour and the effects of brain injury on cognitive function. You will be taught the theoretical and biological foundations of cognitive science, and undertake advanced training in statistics and neuropsychological research methods.
Cognitive neuroscience is the scientific study of biological substrates underlying cognition, with a focus on the neural substrates of mental processes. It is a branch of both psychology and neuroscience, overlapping with disciplines such as biological psychology, cognitive psychology and neuropsychology. Cognitive neuropsychology uses data from single cases of individuals with brain injury or neurological illness to refine theoretical models of cognitive processing.
You explore topics including:
Our research is challenging and ground-breaking, with 90% rated ‘world-leading’ or ‘internationally excellent’ (REF 2014), placing us in the top 15 in the UK. We are supported by some of the most prestigious funding bodies, including the ESRC, European Commission and the Leverhulme Trust.
We are a warm and friendly Department, and we wish to welcome recent graduates of psychology (or a closely related subject such as cognitive science). This course is popular with international students (particularly those from North America). Our students receive a high quality Masters degree within one year and benefit from small class sizes and strong research training.
The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, geometry processing, virtual reality, machine vision and imaging technology from world-leading experts, enabling students to specialise in any of these areas and gain a grounding in the others.
Graduates will understand the basic mathematical principles underlying the development and application of new techniques in computer graphics and computer vision and will be aware of the range of algorithms and approaches available, and be able to design, develop and evaluate algorithms and methods for new problems, emerging technologies and applications.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).
Students must choose a minimum of 15 and a maximum of 30 credits from Group One options. Students must choose a minimum of 30 and a maximum of 45 credits from Group Two options.
Group One Options (15 to 30 credits)
Group Two Options (30 to 45 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
All students undertake an independent research project related to a problem of industrial interest or on a topic near the leading edge of research, which culminates in a 60–80 page dissertation.
Teaching and learning
The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.
Further information on modules and degree structure is available on the department website: Computer Graphics, Vision and Imaging MSc
Graduates are ready for employment in a wide range of high-technology companies and will be able to contribute to maintaining and enhancing the UK's position in these important and expanding areas. The MSc provides graduates with the up-to-date technical skills required to support a wealth of research and development opportunities in broad areas of computer science and engineering, such as multimedia applications, medicine, architecture, film animation and computer games. Our market research shows that the leading companies in these areas demand the deep technical knowledge that this programme provides. Graduates have found positions at global companies such as Disney, Sony and Siemens. Others have gone on to PhD programmes at leading universities worldwide.
Recent career destinations for this degree
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
Our graduates have some of the highest employment rates of any university in the UK. This degree programme also provides a foundation for further PhD study or industrial research.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
UCL Computer Science contains some of the world's leading researchers in computer graphics, geometry processing, computer vision and virtual environments.
Research activities include geometric acquisition and 3D fabrication, real-time photo-realistic rendering, mixed and augmented reality, face recognition, content-based image-database search, video-texture modelling, depth perception in stereo vision, colour imaging for industrial inspection, mapping brain function and connectivity and tracking for SLAM (simultaneous localisation and mapping).
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Computer Science
96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
This Master's by Research will be supervised by Department of Psychology staff within our Faculty of Science & Techology.
There is so much we have yet to discover about the human mind and how it works that there is always scope for exciting and forward-thinking research within the field of psychology. Our experts can guide you through your Master's by Research (MRes) as you explore complex problems and delve into an area of psychology that you're passionate about, collaborating with our knowledgable team to produce insightful and impactful research.
Leading BU's ground breaking-research in prosopagnosia is Dr Sarah Bate, who examines the nature of face-processing at both ends of the spectrum; those who suffer from a condition called prosopagnosia (more commonly known as face blindness) and are unable to recognise others from their faces alone, and ‘super-recognisers’ who have exceptional face-processing abilities.
Discover more specialist research themes on the Department's web pages.
The minimum completion time for the full-time course is 12 months with flexibility to take up to 18 months. If you would prefer to complete the course part-time, the minimum completion time is 24 months with flexibility to take up to 36 months to complete.