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Masters Degrees (Social Computing)

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The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Read more
The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Other IT enterprises, such as Apple, Oracle, CISCO and Nokia, own products with social computing functions. Similarly, many national and international companies successfully turn significant profits through social network sites such as Facebook, LinkedIn, Yahoo, Twitter, Google, Myspace, Amazon, Sina Weibo, TaoBao, RenRen and QQ.

This programme addresses market demand by providing you with training for understanding, managing, developing, implementing and commercialising interactive social media on the internet. It will train you for advanced technical or managerial roles in new interdisciplinary areas of social informatics and internet computing. You will gain:
• theoretical and practical knowledge of key areas of social business and social computing in today’s industry and research
• key tools enabling you to enhance and apply your skills in management, design and implementation of IT-based solutions to social business and computation domains
• practical skills in research, analysis, realisation and evaluation of the technical or research documents in social commerce and social computing

You will complete eight in the first two semesters and a dissertation project in the third semester for a total duration of 18 months. The precise content of your dissertation project will be discussed and decided with your project supervisor and is subject to approval. The department is equipped with specialist lab facilities for operating systems, networking, mobile computing and multimedia technology that will support your learning and research.

Modules

Core Modules
• Cloud Computing
• Project Management
• Research Methods
• Social Media Marketing
• Social Network Analysis
• Social Web Programming
• Dissertation

Elective Modules
• Computer Systems Security
• Data Mining and Big Data Analytics
• Interactive Systems
• Object Oriented Programming
• Social Commerce

What are my career prospects?

Graduates from this programme will find employment research and development engineers, systems developers and project leaders in an IT companies. Some students choose to go on to further studies as a PhD candidate at XJTLU or a renowned overseas university.

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Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science. Read more
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science.

Furthermore, we are home to the Centre for Research in Social Simulation (CRESS) and its world-leading expertise in agent-based modelling.

PROGRAMME OVERVIEW

Interest in simulation has grown rapidly in the social sciences. New methods have been developed to tackle this complexity. This programme will integrate traditional and new methods, to model complexity, evolution and the adaptation of social systems.

These new methods are having an increasing influence on policy research through a growing recognition that many social problems are insufficiently served by traditional policy modelling approaches.

The Masters in Social Science and Complexity will equip you to develop expertise in the methods necessary to tackle complex, policy-relevant, real-world social problems through a combination of traditional and computational social science methods, and with a particular focus on policy relevance.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time over two academic years. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Field Methods
-Computational Modelling
-Theory Model Data
-Modelling the Complex World
-Policy Modelling
-Theory and Method
-Statistical Modelling
-Evaluation Research
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for 
 students going on to employment involving the use of social science and policy research
-Provide training that fully integrates social science, policy modelling and computational methodologies to a high standard
-Provide training resulting in students with high quality analytic, methodological, computational and communication skills

PROGRAMME LEARNING OUTCOMES
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Develop skills in tackling real world policy problems with creativity and sound methodological judgment
-Cover the principles of research design and strategy, including formulating research 
questions or hypotheses and translating these into practicable research designs and models
-Introduce students to the methodological and epistemological issues surrounding research in the social sciences in general and computational modelling in particular
-Develop skills in programming in NetLogo for the implementation of agent-based models for the modelling of social phenomena
-Develop skills in the acquisition and analysis of social science data
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation ofresearch results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, stakeholders, policy makers, professionals, service users and the general public

Knowledge and understanding
-Show advanced knowledge of qualitative, quantitative and computational methodologies in the social science
-Show advanced knowledge of modelling methodologies, model construction and analysis
-Show critical understanding of methodological and epistemological challenges of social science and computer modelling
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show understanding the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge in data collection, analysis and data driven modelling
-Show advanced knowledge of policy relevant social science research and modelling
-Show advanced understanding of the policy process and the role of social science and modelling therein
-Show advanced knowledge of statistical modelling

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Conceptual development of Social Science and Complexity models to creatively enhance the understanding of social phenomena
-Integration of qualitative, quantitative and computational data
-Judgement of problem-methodology match
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of traditional and computational techniques employed in sociological research
-Ability to produce well founded, data driven and validated computational models
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Ability to communicate research findings models in social science and policy relevant ways
-Ability to manage independent research

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Apply computational modelling methodology to complex social issues in appropriate ways
-Creativity in approaching complex problems and a the ability of communicating and justifying problem solutions
-Apply computing skills for computational modelling, research instrument design, data analysis, and report writing and presentation
-Work to deadlines and within work schedules
-Work independently or as part of a team
-Demonstrate experience of a work environment

PLACEMENTS

On the MSc Social Science and Complexity, we offer the opportunity to take a research placement during the Easter vacation. This will provide you with first-hand experience of real-life policy research in action.

Organisations in which placements might be possible are a number of consultancies (e.g. Sandtable), government departments (e.g. Defra) and academic research centres (e.g. Centre for Policy Modelling at Manchester).

CAREER OPPORTUNITIES

Computational methods and especially computer-based simulations, are becoming increasingly important in academic social science and policy making.

Graduates might find career opportunities in government departments, consultancies, government departments, consultancies, NGOs and academia.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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The School of Computer Science offers the opportunity to work alongside academics whose research has been internationally recognised. Read more
The School of Computer Science offers the opportunity to work alongside academics whose research has been internationally recognised. You will have the chance to work within a supportive community, sharing ideas and experiences with the aim of advancing knowledge.

Research being undertaken in the School includes advancements in imaging technology for the detection and treatment of diseases such as cancer, the design of mobile and social computing platforms for health and wellbeing, and enhancing our understanding of how long-term relationships can be developed between humans and androids.

As a research student, you can benefit from a comprehensive programme of training designed to develop your research skills and methodologies. You will have access to the latest industry-standard equipment and software to aid your investigations, including Oculus Rift, embedded system development and microelectronic engineering design and simulation platforms. A supervisory team of experienced academics is available to provide guidance in publishing your work in journals and presenting at conferences.

Research Areas, Projects & Topics

We conduct a blend of fundamental, applied and interdisciplinary research and have particular strengths in robotics, computer vision, social computing, and many aspects of computer gaming. Example Research Areas:
-Robotics and Autonomous Systems
-Device and System Design
-Computer Vision and Image/Video Analysis
-Medical Image Analysis
-Data Analytics
-Social Computing, Games and Serious Gaming Applications

For detailed information about the School’s research activity please visit: http://www.lincoln.ac.uk/home/socs/research/

How You Study

Entry to the doctoral study programmes can be through MPhil or PhD registrations depending on previous experience. You will usually work under the guidance of one main supervisor and one secondary supervisor throughout your studies, and you will have access to a range of the School’s facilities.

Students should expect the equivalent to a one hour supervision meeting each week. Training in research methods features in the early part of the programme and, as you progress, you will be encouraged to present and publish your findings in national and international conferences and journals.

Due to the nature of postgraduate research programmes, the vast majority of your time will be spent in independent study and research. You will have meetings with your academic supervisor, however the regularity of these will vary depending on your own individual requirements, subject area, staff availability and the stage of your programme.

How You Are Assessed

A PhD is usually awarded based on the quality of your thesis and your ability in an oral examination (viva voce) to present and successfully defend your chosen research topic to a group of academics. You are also expected to demonstrate how your research findings have contributed to knowledge or developed existing theory or understanding.

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The aim of the MA in Social Anthropology with Computing is to prepare you to apply appropriate computer-based methods to anthropological research at a relatively advanced and creative level. Read more
The aim of the MA in Social Anthropology with Computing is to prepare you to apply appropriate computer-based methods to anthropological research at a relatively advanced and creative level.

*This course will be taught at the Canterbury campus*

Key benefits

- The School is one of the world's leading institutions in the field of the application of computing techniques to anthropology.

- In the latest Student Barometer survey 100% of our postgraduate students were satisfied with the academic content of their course and 97% said they found their programme intellectually stimulating.

Visit the website: https://www.kent.ac.uk/courses/postgraduate/199/social-anthropology-and-computing#!overview

Course detail

In this joint programme with the School of Computing you develop the basics of research in anthropology – the design, planning, implementation and analysis of anthropological research – and learn to apply specialised computing methods that you develop or adapt to anthropological research and analysis, usually requiring computer programming skills and/or a broad understanding of computing at the applications level.

Format and assessment

Students with no background in Java programming are required to take a special three-week module before the beginning of the academic year in September.

Please note that modules are subject to change. Please contact the School for more detailed information on availability.

- Research Methods in Social Anthropology (20 credits)
- Research Methods in Social Anthropology II (20 credits)
- Computational Methods in Anthropology (30 credits)
- Dissertation: Anthropology (60 credits)
- Contemporary Problems in Social Anthropology (20 credits)

Assessment is by essays and the dissertation.

How to apply: https://www.kent.ac.uk/courses/postgraduate/apply/

Why study at The University of Kent?

- Shortlisted for University of the Year 2015
- Kent has been ranked fifth out of 120 UK universities in a mock Teaching Excellence Framework (TEF) exercise modelled by Times Higher Education (THE).
- In the Research Excellence Framework (REF) 2014, Kent was ranked 17th* for research output and research intensity, in the Times Higher Education, outperforming 11 of the 24 Russell Group universities
- Over 96% of our postgraduate students who graduated in 2014 found a job or further study opportunity within six months.
Find out more: https://www.kent.ac.uk/courses/postgraduate/why/

Postgraduate scholarships and funding

We have a scholarship fund of over £9 million to support our taught and research students with their tuition fees and living costs. Find out more: https://www.kent.ac.uk/scholarships/postgraduate/

English language learning

If you need to improve your English before and during your postgraduate studies, Kent offers a range of modules and programmes in English for Academic Purposes (EAP). Find out more here: https://www.kent.ac.uk/courses/postgraduate/international/english.html

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About the MSc programme. The MSc Statistics (Social Statistics) aims to provide high-level training in the theory and application of modern statistical methods, with a focus on methods commonly used in the social sciences. Read more

About the MSc programme

The MSc Statistics (Social Statistics) aims to provide high-level training in the theory and application of modern statistical methods, with a focus on methods commonly used in the social sciences.

You will gain insights into the design and analysis of social science studies, including large and complex datasets, study the latest developments in statistics, and learn how to apply advanced methods to investigate social science questions.  

The programme includes two core courses which provide training in fundamental aspects of probability and statistical theory and methods, the theory and application of generalised linear models, and programming and data analysis using the R and Stata packages. These courses together provide the foundations for the optional courses on more advanced statistical modelling, computational methods and statistical computing. Options also include specialist courses from the Departments of Methodology, Economics, Geography and Social Policy. 

Research Stream

The Research stream is similar to the nine-month programme, but will include a dissertation component, extending the programme to twelve months.

Graduate destinations

There is a high demand for graduates with advanced statistics training and an interest in social science applications, and students on this programme have excellent career prospects. 

Potential employers include the public sector (the Office for National Statistics, government departments, universities), market research organisations, survey research organisations and NGOs. This programme would be ideal preparation for doctoral research in social statistics or quantitative social science.

Further information on graduate destinations for this programme



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The general objective of this programme is to communicate an anthropologically-informed understanding of social life in both Western and non-Western societies. Read more
The general objective of this programme is to communicate an anthropologically-informed understanding of social life in both Western and non-Western societies. By confronting students with the remarkable diversity of human social and cultural experience, its aim is to encourage them to question taken-for-granted assumptions and to view the world from a new perspective.

Through a set of core modules, comprising about a third of coursework credits, students are provided with a comprehensive grounding in classical as well as contemporary debates in social anthropology and are introduced to the distinctive research methods and ethical positions associated with the discipline. Students then complete their coursework credits by choosing from a broad range of around 50 different modules offered around the Faculty of Humanities. Through these options, students apply the social anthropological theories and methods learnt on the core modules to particular substantive themes and topics. Diploma students complete their coursework in May and formally graduate in July. Over the summer vacation, MA students carry out research for a 15,000 word dissertation that is submitted in September. They then would normally expect to graduate formally in December.

Most of the coursework optional modules have been organized into pathways based on particular themes and topics.

Go to the Study Details tab for more details on the Culture, Ethnography and Development pathway.

Pathways are designed to ensure both an academic and timetabling fit between the options. Students are encouraged, on the basis of past experience and/or future goals, to select a pathway shortly after registration in consultation with the programme director. MA students' dissertation topics will normally also relate to this pathway. In addition to the Culture, Ethnography and Development pathway, there are currently 5 others.

Please note that it is not compulsory to select a pathway and all students will be awarded the same generic degree, MA in Social Anthropology.

Teaching and learning

In each semester, students take two 15-credit core modules, and a selection of optional modules that they select shortly after arrival. Many optional modules are worth 15 credits, though some are worth 30 credits. In total, students are required to achieve 120 coursework credits. Over the summer vacation, students are required to write a dissertation which is worth a further 60 credits.

In total, some 50 optional modules are available, not only in Social Anthropology but in a broad range of other disciplines across the Faculty of Humanities, including Visual Anthropology, Archaeology, Museum Studies, Latin American Studies, Development Studies, History, Sociology and Drama. Drawing on this broad range of disciplines, a number of pathways have been devised in order to maximize the academic and timetabling coherence of the options chosen by students.

The Culture, Ethnography & Development pathway provides you with the opportunity to study the history, theory and practice of development in a broad variety of social and geographical contexts, encouraging you to think of development critically as a complex transformative process that has cultural as well as economic and political consequences. You may select from modules covering a broad range of topics, including:
-Relationships of dependence between the global North and the global South
-Social and cultural effects of international labour migration
-The Millennium Development Goals
-The political economy of foreign investment
-Inequality and urban planning in the cities of the global South
-The international agenda for the reduction of poverty
-The impact of local civil society and NGOs
-Social welfare policies
-The politics of biodiversity conservation

Coursework and assessment

Most modules are assessed by means of an extended assessment essay. Typically, for 15 credit modules, these must be of 4000 words, whilst for 30 credit courses, they are normally of 6000 words. Certain options involving practical instruction in research methods, audiovisual media or museum display may also be assessed by means of presentations and/or portfolios of practical work. In addition, all MA students are required to write a 15,000 word dissertation.

Career opportunities

Past graduates of the MA in Social Anthropology have gone on to many different careers both inside and outside academic life. As it is a 'conversion' course aimed at those who want to explore anthropology after undergraduate studies in another field, or at least within a different anthropological tradition, it often represents a major change of career direction, opening up a wide range of different possibilities.
About 20% of our graduates carry on to do a doctorate, be it here or elsewhere. But the MA in Social Anthropology also represents a very appropriate preparation for careers in which an informed awareness of the implications of social and cultural diversity are important.

Some past students have been drawn to the voluntary sector, either in the UK or with development agencies overseas, others have gone on to work in the media or cultural industries or in education at many different levels. Others again have found opportunities in business or the civil service, where ethnography-based methods are increasingly popular as a way of finding out how people - from consumers to employees - interact with their everyday worlds.

The MA in Social Anthropology also trains students in a broad range of transferable skills that are useful in many walks of life, including social research methods and the ethics associated with these, effective essay-writing, oral presentational skills in seminars and other contexts, basic computing skills, using the internet as a research tool and conducting bibliographic research.

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This course runs in Germany. This course covers a range of essential topics related to distributed computing systems. Yet these modules are not isolated; each one takes its place in the field in relation to others. Read more

About the course

This course runs in Germany.

This course covers a range of essential topics related to distributed computing systems. Yet these modules are not isolated; each one takes its place in the field in relation to others.

The emphasis in the course is to build the connections between topics, enabling software engineers to achieve co-operation between distinct autonomous systems under constraints of cost and performance requirements.

The course is suitable for:

Recent graduates in Electrical or Electronic Engineering or Computer Science, who wish to develop their skills in the field of distributed computing systems.
Practicing engineers and computer professionals who wish to develop their knowledge in this area.
People with suitable mathematical, scientific or other engineering qualifications, usually with some relevant experience, who wish to enter this field.

Aims

The past few years have witnessed that Grid computing is evolving as a promising large-scale distributed computing infrastructure for scientists and engineers around the world to share various resources on the Internet including computers, software, data, instruments.

Many countries around the world have invested heavily on the development of the Grid computing infrastructure. Many IT companies have been actively involved in Grid development. Grid computing has been applied in a variety of areas such as particle physics, bio-informatics, finance, social science and manufacturing. The IT industry has seen the Grid computing infrastructure as the next generation of the Internet.

The aim of the programme is to equip high quality and ambitious graduates with the necessary advanced technical and professional skills for an enhanced career either in industry or leading edge research in the area of distributed computing systems.

Specifically, the main objectives of the programme are:

To critically appraise advanced technologies for developing distributed systems;
To practically examine the development of large scale distributed systems;
To critically investigate the problems and pitfalls of distributed systems in business, commerce, and industry.

Course Content

Compulsory Modules:

Computer Networks
Network Security and Encryption
Distributed Systems Architecture
Project and Personal Management
High Performance Computing and Big Data
Software Engineering
Embedded Systems Engineering
Intelligent Systems
Dissertation

Special Features

Electronic and Computer Engineering is one of the largest disciplines in the University, with a portfolio of research contracts totalling £7.5 million, and has strong links with industry.

The laboratories are well equipped with an excellent range of facilities to support the research work and courses. We have comprehensive computing resources in addition to those offered centrally by the University. The discipline is particularly fortunate in having extensive gifts of software and hardware to enable it to undertake far-reaching design projects.

We have a wide range of research groups, each with a complement of academics and research staff and students. The groups are:

Media Communications
Wireless Networks and Communications
Power Systems
Electronic Systems
Sensors and Instrumentation.

Women in Engineering and Computing Programme

Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

Accreditation

Distributed Computing Systems Engineering is accredited by the Institution of Engineering and Technology (IET).

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Designing at the forefront of communication technology. The rapid expansion of digital networks such as YouTube, Wikipedia, Flickr and Facebook have changed user expectations. Read more
Designing at the forefront of communication technology.

Overview

The rapid expansion of digital networks such as YouTube, Wikipedia, Flickr and Facebook have changed user expectations. These advances have created a demand for graduates who understand social and participatory design principles and have the skills to design new interactive technologies.

The MSc in Social Media and Interactive Technologies provides an innovative mix of social and technical skills. You will gain an understanding of the social, political and economic factors that affect the use of interactive technologies, examining how technology is perceived and employed by the user, and you will develop the skills to design and create usable and accessible devices and applications.

Course content

Understand social media and interactive technologies through the key roles they play in society. Explore topics in human-computer interaction, user-centred design, social and cultural theory and human psychology and learn to apply them to the practical problems of designing interactive pages, devices and systems.

Modules for this social media degree are taught by experts from both the Department of Sociology and the Department of Computer Science.

The MSc in Social Media and Interactive Technologies includes eight core modules:
-Understanding Social Media
-Metrics and Society
-Themes and Issues in Contemporary Sociology
-Research Methods for Interactive Technologies
-User-centred Design for Interactive Technologies

You will develop, design, implement and manage your own original research project, supervised by a member of staff with the relevant experience for your topic. You will analyse the data and produce a 15,000-word dissertation based on your research project.

Examples of previous projects include:
-Accessibility of iPhone/iPad apps
-Democracy and participation in York City
-The use of social networking sites by the older generation
-Social robotics and companionship
-Living with the h-index?
-Investigating immersion in games with inattentional blindness
-Immersion and cognitive effort when playing videogames
-Immersion in audio-only games

Careers

You'll develop the skills and knowledge needed to play a leading role in the design and evaluation of interactive technologies in industry, commerce, academia and public service. This social media degree also provides an ideal basis to progress to further study at PhD level.

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Learn how different brain functions contribute to cognition, mediate social interaction, and determine mental health, well-being and psychiatric illness. Read more
Learn how different brain functions contribute to cognition, mediate social interaction, and determine mental health, well-being and psychiatric illness.

Who is it for?

This Masters is ideal for those who have an undergraduate degree in Psychology or a related discipline and would like to build more knowledge and skills highly valued both in academic research and the clinical professions. The MSc is an ideal platform from which to progress to PhD studies, particularly in Cognitive or Social Neuroscience. Students will also be well-equipped should they wish to undertake further professional training in Clinical Psychology, or a related discipline.

Objectives

This Masters degree bridges three research and clinical disciplines:
-Cognitive neuroscience (the study of human brain functions such as memory, perception and language).
-Clinical neuroscience (the understanding of neurological, psychological or psychiatric illness via their neural and cognitive antecedents).
-Social neuroscience (the investigation of brain processes that help us communicate, feel, learn and interact with others).

The major aim of this programme is to provide you with a thorough grounding in the neuroscience that underpins human cognitive brain function, clinical, social and affective interaction, and neuropathology.

Teaching will comprise of seminars, lectures, computing and statistics classes, and supervision of an individual research project. Your learning experience during the programme will be enhanced by an invited speaker’s programme of external experts who work in clinical, social or cognitive neuroscience.

Academic facilities

You will have access to all the facilities and laboratories in the Psychology Department. Our members have experience with a wide range of neuroscientific techniques, including neuropsychological testing, psychophysics and functional Magnetic Resonance Imaging (fMRI).

We have particular strengths in the use of Electroencephalography (EEG), Transcranial magnetic stimulation (TMS) and Transcranial Electric Stimulation (a weak current applied to the scalp), in addition to measures of human behaviour (e.g. response times, response errors, and eye movements) and physiological measures (e.g. galvanic skin response and heart rate).

We test neurologically normal individuals, special populations (e.g. people with synesthesia) and people with expertise or acquired skills (e.g. dancers, musicians, athletes), as well as people with brain damage (e.g. neglect or split-brain patients), psychiatric diagnoses (e.g. schizophrenia), sensory deficits (e.g. visual and hearing impairments) and developmental disorders (e.g. dyslexia or autism).

Placements

We help facilitate Clinical placements and are able and offer Research placements within our department.

Clinical placements: Center for Psychological Wellbeing and Neuroscience (CPWN) in collaboration with City and Hackney Mind (CHM).

Teaching and learning

Teaching will be comprised of lectures, seminars, group work and discussions, workshops and tutorials, reports, computing and statistics classes and the individual research dissertation.

You will undertake independent study, supported by the teaching and learning team, and will receive detailed feedback on your coursework. You will be provided with assessment and grade-related criteria which will outline your intended learning outcomes, along with the skills, knowledge and attitudes you are expected to demonstrate in order for you to complete an assessment successfully. You will also be assigned a personal tutor as your primary contact, who will advise you on academic matters and monitor your progress through the programme.

You will find a supportive vibrant research environment in the Department. The course is taught by academics, who are internationally recognised experts in their field with different backgrounds in clinical, social and cognitive neuroscience.

Assessment

Your learning will be assessed through essays, examinations, oral presentations, research methods projects and interpretation of statistical analyses, formal research proposals and a dissertation.

Modules

The programme consists of eight taught modules worth 15 credits each with around 30-34 hours of face-to-face contact, supported by online resources and an empirical research project (worth 60 credits).

You will learn about the latest advances in clinical, social and cognitive neuroscience and develop an appreciation of the reciprocal nature of research and practice in these domains. For example how insights from functional neuroimaging inform our understanding of neurological disorders and how clinical observations inform neurocognitive modelling.

Course structure
-Principles of Neuroscience: Brain anatomy, techniques and paradigms
-Developmental Cognitive Neuroscience
-Mental Health, Well-being and Neuroscience
-Fundamental Processes in Cognitive Neuroscience & Neuropsychology I
-Fundamental Processes in Cognitive Neuroscience & Neuropsychology II
-Social Cognition and the Social Brain
-Statistical models and Research Methods and Programming
-Research Dissertation
-Invited speakers programme

Career prospects

This course will provide you with knowledge and skills highly valued both in academic research and the clinical professions. The MSc is an ideal platform from which to progress to PhD studies, particularly in Cognitive or Social Neuroscience. You will also be well-equipped should you wish to undertake further professional training in Clinical Psychology, or a related discipline.

The knowledge and skills you will acquire in this programme are highly valuable, whether you choose to pursue further research or an applied occupation. They will enhance your employability prospects in a wide range of sectors including the pharmaceutical industry, neuromarketing, the computing industry, science and the media, science and the arts, business or education.

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The School conducts high-quality significant national and international research and offers excellent opportunities for graduate studies, successfully combining modern engineering and technology with the exciting field of digital media. Read more
The School conducts high-quality significant national and international research and offers excellent opportunities for graduate studies, successfully combining modern engineering and technology with the exciting field of digital media. The digital media group has interests in many areas of interactive multimedia and digital film and animation.

Visit the website https://www.kent.ac.uk/courses/postgraduate/264/digital-arts

About the School of Engineering and Digital Arts

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

The School undertakes high-quality research (http://www.eda.kent.ac.uk/research/default.aspx) that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Course structure

The digital media group has interests in many areas of interactive multimedia and digital film and animation.

There is particular strength in web design and development, including e-commerce, e-learning, e-health; and the group has substantial experience in interaction design (eg, Usability and accessibility), social computing (eg, Social networking, computer mediated communication), mobile technology (eg, iPhone), virtual worlds (eg, Second Life) and video games. In the area of time-based media, the group has substantial interest in digital film capture and editing, and manipulation on to fully animated 3D modelling techniques as used in games and feature films.

Research Themes:
- E-Learning Technology (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=1)

- Medical Multimedia Applications and Telemedicine (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=2)

- Human Computer Interaction and Social Computing (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=3)

- Computer Animation and Digital Visual Effects (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=4)

- Mobile Application Design and Development (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=25)

- Digital Arts (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=26)

Research areas

- Intelligent Interactions

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

Careers

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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The hunger for the digital visualisation of architecture and urban environments has grown exponentially in both the Architectural and Film Industries. Read more
The hunger for the digital visualisation of architecture and urban environments has grown exponentially in both the Architectural and Film Industries. As the need for skilled modellers and animators with an awareness of architectural, as well as cinematic, issues increases in both Architecture and Film, the MA in Architectural Visualisation builds on the connections between these two industries. This MA programme develops skills to communicate architecture and urbanity for a variety of applications and audiences.

The MA in Architectural Visualisation is jointly taught by Kent School of Architecture (http://www.kent.ac.uk/architecture/) and the School of Engineering and Digital Arts (http://www.eda.kent.ac.uk/).

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting new field of digital media. The School was established over 40 years ago and has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

Kent School of Architecture is a young school that has built an excellent reputation, based on high quality teaching and excellent resources. For architecture graduate employment prospects, Kent was ranked 6th in the UK in The Times Good University Guide 2014 and 7th in the UK in The Guardian University Guide 2015.

Visit the website https://www.kent.ac.uk/courses/postgraduate/245/architectural-visualisation

Course structure

The MA in Architectural Visualisation is jointly taught by Kent School of Architecture and the School of Engineering and Digital Arts. Building on the successful Master's programmes in Computer Animation and Digital Visual Effects, this MA enables students to develop at an advanced level the skills, knowledge and understanding of digital simulation and 3D modelling which will equip them to become highly skilled professionals in architectural visualisation.

Drawing influence from both architecture and film, this programme offers a progression route into both industries, highlighting the different requirements needed for each profession while exploring the similarities of these markets. In this programme, the professions of architecture, film and animation fuse together, providing students with the ability and understanding to work in each or all of them.

Modules

Stage 1
AR821 - Film and Architecture (15 credits)
AR822 - Virtual Cities (30 credits)
AR823 - Digital Architecture (15 credits)
AR846 - Architectural Photography (15 credits)
EL837 - Professional Group Work (15 credits)
EL868 - High Definition Compositing (15 credits)
EL869 - Film and Video Production (15 credits)
Stage 2
Either
EL870 - Visual Effects Project (60 credits)
OR
AR845 - Independent Research Project (60 credits)

Assessment

Modules are taught over three terms, concluding with a Major Project Visualisation, which accounts for one third of the programme. The content of the visualisation is agreed with programme staff and you build a showreel to a professional standard. Each module is assessed by practical assignments. The project work is assessed on the outcome of the project itself.

Programme aims

This programme aims to:

- enable you to develop advanced level skills, knowledge and understanding of digital simulation and 3D modelling, which will equip you to become a highly skilled professional in architectural visualisation

- train you in the requirements and skills needed for work in high definition

- produce professionally-trained architectural visualisers who are highly skilled in using state-of-the-art 3D modelling and visual effects software

- provide proper academic guidance and welfare support for all students

- create an atmosphere of co-operation and partnership between staff and students, and offer you an environment where you can develop your potential.

Research areas

- Digital Media

The Digital Media group is a multidisciplinary group with interests in many areas including social computing (eg, social networking, computer mediated communication), mobile/ubiquitous computing, human-computer interaction and digital arts (eg, computer games, 3D animation, digital film). Our work is applied across a wide range of domains including e-health, cultural heritage and cyber influence/identity.

Current research themes include:

- interface/interaction design and human-computer interaction
- cyber behaviour/influence
- social computing and sociability design
- natural user interfaces
- virtual worlds
- online communities and computer-mediated communication
- mobile applications
- digital film-making and post-production.

Careers

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers seek, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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Our MSc in Data Science and Analytics aims to provide you with a comprehensive set of skills needed to handle, collect, store and analyse large and complex sets of data. Read more
Our MSc in Data Science and Analytics aims to provide you with a comprehensive set of skills needed to handle, collect, store and analyse large and complex sets of data. You will be taught by subject experts from both the School of Mathematics and the School of Computer Science and Informatics, which will allow you to see the topic from different perspectives and provides access to a wide range of modules across both Schools.

Throughout the course you will develop data handling and extraction skills, programming skills, machine learning and informatics skills, and problem solving and modelling skills. You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively.

This programme is available on a one year full-time basis or a three-year part-time basis.

Distinctive features:

• A three-stage degree with exit points at PG Certificate, PG Diploma and Master’s level, allowing you to go into as much depth as you like.

• Acquire transferable data science and analytics skills that are highly sought after in a broad range of sectors.

• Learn from experts across the Schools of Mathematics and Computer Science and Informatics, and related University research groups specialising in various applications of data science and analytics, for example the Data Innovation Research Institute, Social Data Science Lab, and Health Modelling Centre Cymru.

• Gain valuable work experience; we have some placement opportunities available with industrial partners in the UK and abroad.

Structure

There are three stages to this programme. During the first stage, you will study a number of core modules covering fundamental subjects such as statistics, pattern recognition, data mining and optimisation. You may choose to exit after this first stage, at which point you may be able to obtain a PG Certificate qualification.

The second stage consists of a range of optional modules where you can explore subjects of interest to you and relevant your potential career path, for example web and social computing, time series and forecasting, supply chain modelling and visual communication and information design. You may choose to exit after the second stage, at which point you may be able to obtain a PG Diploma qualification.

The third and final stage consists of a three-month dissertation project, which will typically involve working with a company on a real problem of importance. Following successful completion of all modules and the dissertation, you may be able to obtain a Master’s qualification.

As a full-time student, you will complete all modules and your dissertation project in year one.

Part-time students will typically only need to be in the University for lectures and workshops for the equivalent of one day per week over 24 weeks for years 1 and 2. The dissertation project is undertaken during year 3.

Core modules:

Pattern Recognition and Data Mining
Statistical Methods
Optimisation Methods
Dissertation

Optional modules:

Information Processing in Python
Computer Science Topic 1: Web and Social Computing
Web Application Development
Distributed and Cloud Computing
Informatics
Visual Communication and Information Design
Time Series and Forecasting
Supply Chain Modelling
Statistics and Operational Research in Government
Credit Risk Scoring

Teaching

The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.

Programming skills and the use of relevant software packages will be taught in our dedicated computer suites. We often invite industry experts to give presentations, which our students are welcome to attend.

We will allocate three supervisors to you for your dissertation project. Usually your supervisors will be two members of academic staff with an interest or specialism in your field of research and a sponsor supervisor from the organisation you will work with during your project. You should meet regularly with your supervisor throughout your project.

Support

All of our students are allocated a personal tutor when they enrol on the course. A personal tutor is there to support you during your studies, and can advise you on academic and personal matters that may be affecting you. You should have regular meetings with your personal tutor to ensure that you are fully supported.

You will have access to the Trevithick Library, which holds our collection of mathematical and computer science-related resources, as well as to the other Cardiff University Libraries.

We will provide you with a copy of the Student Handbook, which contains details of each School’s policies and procedures. We also support students through the University’s virtual learning environment, Learning Central, where you can ask questions in a forum or find course-related documents.

Cardiff University also offers a wide range of support services which are open to our students, such as the Graduate Centre, counselling and wellbeing, financial and careers advisors, the international office and the Student Union.

Feedback:

We offer written and oral feedback, depending on the coursework or assessment you have undertaken. You will usually receive your feedback from the module leader. If you have questions regarding your feedback, module leaders are usually happy to give advice and guidance on your progress. We aim to provide you with feedback in a timely manner after you have submitted an assessment.

Assessment

We will assess your progress throughout the course. These assessments may take the form of written exam papers, in-module assignments, and the project dissertation, where knowledge and technical competence will be appraised. We may also use group work, oral presentations and poster displays to test communication, critical thinking and problem solving skills.

Career prospects

Data is increasingly cheap and ubiquitous, and is being collected on a massive scale. There is a significant and growing demand for professionals who can work efficiently and effectively with handling such complex and sizeable data and to extract insights to help inform decision-making. The skills you gain during the programme will equip you for graduate roles in this field. This new MSc programme enhances the already well-established related postgraduate taught programmes that the School of Mathematics offers, and is expected to be as successful in the recruiting of our graduates. Previous postgraduates have gone on to work with a variety of companies and Government organisations including the Office for National Statistics, Lloyds Banking Group, Nationwide, British Airways, Network Rail, UK Government, The Financial Times, Virgin Media, Welsh Water and Admiral Insurance.

If you prefer to continue on a more academic career pathway, you may choose to continue your studies with a PhD.

Placement

You will undertake a three-month placement for your dissertation project, based with one of our industrial partners in the UK or abroad.

We employ a dedicated Knowledge Exchange Officer who will work with you to obtain a placement and support you throughout your project.

Past placements achieved by our students have been with companies such as Admiral, British Airways, Lloyds Banking Group, Welsh Water, Office for National Statistics, Sainsbury’s, Virgin Media, Transport for London, and Deloitte.

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This broad-ranging course concentrates on the latest tools and techniques of modern computer science. Read more

About the Course

This broad-ranging course concentrates on the latest tools and techniques of modern computer science. Covering object-orientated programming, computer systems and networking, database analysis and design and much more, you will be exposed to the most recent developments in both the theory and practice of modern computing.

The Computing MSc, Information Systems Management (ISM) MSc and Information technology (IT) MSc are very closely linked with a common first semester, giving you the option of changing between this courses up until the Christmas vacation. The course assumes no previous experience in computing and is ideally suited to graduates of other subjects who wish to add IT to their portfolio of skills. The most essential requirements are enthusiasm for the subject and an inquiring mind.

Reasons to study:

• Benefit from our Research Expertise
our internationally recognised Centre for Computing and Social Responsibility will have input into the course and will explore and allow you to understand the current research issues

• Dedicated Computer Science Laboratories
you will have access to our industry standard software used in e-commerce so that you develop relevant skills

• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience and skill giving you a head start in your career once you have finished the course

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing computing solutions to business problems

• Excellent graduate prospects
You will develop the skills you need to progress to roles such as systems analyst, programmer, software architect and research development project leader in global organisations like Hewlett Packard and Marks and Spencer

Course Structure

Modules

First Semester (October to January)

• Object-Orientated Programming
• Database Systems and Design
• Computer Systems and Networks
• Systems Analysis and Design

Second Semester (February to May)

• Research Methods, Professionalism and Ethics
• E-Commerce Software
• E-Commerce Systems
• Human Factors in Systems Design

Third Semester (June to September)

During the final semester you will work on your project/ dissertation, chosen by you and agreed by your project supervisor. Part-time students normally choose to work on their project over an entire academic year.

Optional Placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.

Teaching and Assessment

The course can be studied either full-time over one year or part-time for two to six years, beginning in September each year (a January start date may also be available).

There will be two- or three-week vacations at Christmas and New Year (December/January) and Easter (March/April), and some students also take a brief break in June or July before completing their dissertation.

Teaching includes formal lectures, tutorials and labs. You will also be expected to undertake independent study and research to support your assignments and your dissertation. Assessment will be by various group and individual methods including exams, projects, presentations, written essays and reports.

You will normally be expected to attend a two-week induction to ensure that you are well prepared for the modules taught in the first semester. This course offers a degree of flexibility, and you may have the option to switch over to our Information Systems Management MSc after the first term (subject to approval).

Contact and learning hours

Full-time students will normally attend around 12 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Academic Expertise

The Centre for Computing and Social Responsibility is internationally recognised for its applied research expertise. In a world where individuals, businesses and governments increasingly depend on information and communication technologies, this acclaimed research centre is looked to for authoritative advice on their social, organisational and ethical impacts. Our experts collaborate with a range of worldwide partners assessing implications and shaping codes of practice.

You will benefit from our history of more than 50 years of research and teaching in computing and technology, and the expertise of our academic staff.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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-Would you like personalised supervision from the very first week of study?. -Do you want a course that links with Visual Anthropology and uses our ethnographic film-making facilities?. Read more
-Would you like personalised supervision from the very first week of study?
-Do you want a course that links with Visual Anthropology and uses our ethnographic film-making facilities?
-Are you interested in the series of pathways offering specialist knowledge of different areas?

The objective of this programme is to communicate an anthropologically-informed understanding of social life in both Western and non-Western societies. By confronting students with the remarkable diversity of human social and cultural experience, its aim is to encourage them to question taken-for-granted assumptions and to view the world from a new perspective.

Through a set of core modules, comprising about a third of coursework credits, students are provided with a comprehensive grounding in classical as well as contemporary debates in social anthropology and are introduced to the distinctive research methods and ethical positions associated with the discipline. Students then complete their coursework credits by choosing from a broad range of modules offered around the Faculty of Humanities.

Through these options, students apply the social anthropological theories and methods learnt on the core modules to particular substantive themes and topics. Diploma students complete their coursework in May and formally graduate in July. Over the summer vacation, MA students carry out research for a 15,000 word dissertation that is submitted in September. They then would normally expect to graduate formally in December.

Most of the coursework optional modules have been organized into pathways based on particular themes and topics. If they wish, students are able, on the basis of past experience and/or future goals, to select a pathway shortly after registration in consultation with the programme director. MA students' dissertation topics will normally also relate to this pathway. In total, there are currently 5 pathways.

Teaching and learning

In each semester, students take two 15-credit core modules, and a selection of optional modules that they select shortly after arrival. Many optional modules are worth 15 credits, though some are worth 30 credits. In total, students are required to achieve 120 coursework credits. Over the summer vacation, students are required to write a dissertation which is worth a further 60 credits.

In total, some 50 optional modules are available, not only in Social Anthropology but in a broad range of other disciplines across the Faculty of Humanities, including Visual Anthropology, Archaeology, Museum Studies, Latin American Studies, Development Studies, History, Sociology and Drama. Drawing on this broad range of disciplines, a number of pathways have been devised in order to maximize the academic and timetabling coherence of the options chosen by students. However students are not obliged to select one of these pathways and, provided the course director and tutor are in agreement, may follow their own 'customized' selection of modules.

Part-time students complete the full-time programme over two years. There are NO evening or weekend course units available on the part-time programme.

You must first check the schedule of the compulsory modules and then select your optional modules to suit your requirements.
Updated timetable information will be available from mid-August and you will have the opportunity to discuss your module choices during induction week with your Course Director

Coursework and assessment

Most modules are assessed by means of an extended assessment essay. Typically, for 15 credit modules, these must be of 4000 words, whilst for 30 credit courses, they are normally of 6000 words. Certain options involving practical instruction in research methods, audiovisual media or museum display may also be assessed by means of presentations and/or portfolios of practical work. In addition, all MA students are required to write a 15,000 word dissertation.

Career opportunities

Past graduates of the MA in Social Anthropology have gone on to many different careers both inside and outside academic life. As it is a 'conversion' course aimed at those who want to explore anthropology after undergraduate studies in another field, or at least within a different anthropological tradition, it often represents a major change of career direction, opening up a wide range of different possibilities.

About 20% of our graduates carry on to do a doctorate, be it here or elsewhere. But the MA in Social Anthropology also represents a very appropriate preparation for careers in which an informed awareness of the implications of social and cultural diversity are important. Some past students have been drawn to the voluntary sector, either in the UK or with development agencies overseas, others have gone on to work in the media or cultural industries or in education at many different levels. Others again have found opportunities in business or the civil service, where ethnography-based methods are increasingly popular as a way of finding out how people - from consumers to employees - interact with their everyday worlds.

The MA in Social Anthropology also trains students in a broad range of transferable skills that are useful in many walks of life, including social research methods and the ethics associated with these, effective essay-writing, oral presentational skills in seminars and other contexts, basic computing skills, using the internet as a research tool and conducting bibliographic research.

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The general objective of this programme is to communicate an anthropologically-informed understanding of social life in both Western and non-Western societies. Read more
The general objective of this programme is to communicate an anthropologically-informed understanding of social life in both Western and non-Western societies. By confronting students with the remarkable diversity of human social and cultural experience, its aim is to encourage them to question taken-for-granted assumptions and to view the world from a new perspective.

Through a set of core modules, comprising about a third of coursework credits, students are provided with a comprehensive grounding in classical as well as contemporary debates in social anthropology and are introduced to the distinctive research methods and ethical positions associated with the discipline. Students then complete their coursework credits by choosing from a broad range of around 50 different modules offered around the Faculty of Humanities. Through these options, students apply the social anthropological theories and methods learnt on the core modules to particular substantive themes and topics. Diploma students complete their coursework in May and formally graduate in July. Over the summer vacation, MA students carry out research for a 15,000 word dissertation that is submitted in September. They then would normally expect to graduate formally in December.

Most of the coursework optional modules have been organized into pathways based on particular themes and topics. Go to the Study Details tab for more details on the Visual and Sensory Media pathway. Pathways are designed to ensure both an academic and timetabling fit between the options. Students are encouraged, on the basis of past experience and/or future goals, to select a pathway shortly after registration in consultation with the programme director. MA students' dissertation topics will normally also relate to this pathway. In addition to the Visual and Sensory Media pathway, there are currently six others.

Career opportunities

Past graduates of the MA in Social Anthropology have gone on to many different careers both inside and outside academic life. As it is a 'conversion' course aimed at those who want to explore anthropology after undergraduate studies in another field, or at least within a different anthropological tradition, it often represents a major change of career direction, opening up a wide range of different possibilities.

About 20% of our graduates carry on to do a doctorate, be it here or elsewhere. But the MA in Social Anthropology also represents a very appropriate preparation for careers in which an informed awareness of the implications of social and cultural diversity are important. Some past students have been drawn to the voluntary sector, either in the UK or with development agencies overseas, others have gone on to work in the media or cultural industries or in education at many different levels. Others again have found opportunities in business or the civil service, where ethnography-based methods are increasingly popular as a way of finding out how people - from consumers to employees - interact with their everyday worlds.

The MA in Social Anthropology also trains students in a broad range of transferable skills that are useful in many walks of life, including social research methods and the ethics associated with these, effective essay-writing, oral presentational skills in seminars and other contexts, basic computing skills, using the internet as a research tool and conducting bibliographic research.

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