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Masters Degrees (Social Network Analysis)

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At the local, national and global level, we are witnessing an intense period of social transformation and fragmentation. Within this context, there is growing political and policy recognition of the need to better understand and thereby address social inequalities. Read more

At the local, national and global level, we are witnessing an intense period of social transformation and fragmentation. Within this context, there is growing political and policy recognition of the need to better understand and thereby address social inequalities. The social sciences have an important role to play in mapping and understanding how inequalities arise and in tackling their causes and consequences. Innovative developments in the social sciences are offering new methodological, theoretical and empirical insights into entrenched and emerging inequalities of status, resource, outcome and opportunity. This has inspired us to create an interdisciplinary programme focusing on inequality in all its forms and its social, political and economic implications.

This Masters programme equips students with the necessary knowledge and skills to engage in and contribute towards work that tackles the realities and effects of social inequality. Capitalising on academic and applied expertise in the School of Sociology and Social Policy and the Leeds Inequalities Research Network, this programme harnesses leading analytical approaches combining qualitative, quantitative and data analytic methods (in close collaboration with the School of Geography).

In addition to offering an advanced understanding of rising material inequality, the programme encourages an intersectional approach to understanding socio-economic stratification and how this links with physical (dis) ability, race, ethnicity, nationality, gender, sexuality, class and age. It provides a stimulating intellectual environment and cutting edge methodological approaches to comparing and contrasting the formation and consequences of inequalities across a range of national and international contexts. Through an examination of geopolitical and socioeconomic shifts, such as urbanisation and globalisation, students are actively supported to critically interrogate the contemporary character and extent of social inequality.

Research insight

Whilst undertaking this programme, students will join a vibrant and dynamic research led teaching and learning environment in the School of Sociology and Social Policy. You will benefit from the interdisciplinary expertise and extra-curricular activities hosted by the School and its research centres including those in Disability Studies, Ethnicity and Racism Studies, Interdisciplinary Gender Studies and Research into Families, the Life Course and Generations. You will also access events through the Leeds Social Sciences Institute (LSSI), which fosters cross-departmental collaboration, learning and impact, Students will also benefit from workshops on global inequalities by academic leaders from across campus and research seminars with external speakers; along with career development opportunities and events. As such, students can take advantage of academic and applied expertise both within and beyond the University whilst also developing specialist knowledge and transferable skills for their future career development in the public, private or third sector.

Course content

The programme bridges disciplinary divides to provide a detailed understanding of the ways in which social inequality manifests across diverse communities and contexts at the national and international level. It offers insight into the character, causes and consequences of social inequality, as well as forms of resistance and policy responses. It has a strong and innovative methodological focus, including traditional qualitative and quantitative approaches to the social analysis of inequality, as well as new approaches to data visualisation and analytics from across the social sciences. The programme uses a range of teaching methods, including lectures, seminars and workshops, complemented by a range of co-curricular activities partly facilitated through the Leeds Inequalities Research Network.

Course structure

The core modules of the programme introduce students to contemporary research on global inequalities of social difference and disadvantage, emphasizing a diversity of theoretical and research design strategies, including international evidence surrounding the shifting nature and extent of inequality. Students are able to tailor the programme according to their interests and needs by choosing from a specially selected range of optional modules, which address major social and economic inequalities across diverse social science subjects and substantive issues. As such, students can choose to develop in-depth specialist knowledge on a particular area and/or focus more generally on the social processes and arrangements that give rise to inequalities.

Compulsory modules

  • Inequalities: Exploring causes, Consequences and Interventions 30 credits
  • Geographic Data Analysis and Visualisation 15 credits
  • Dissertation 60 credits

PLUS TWO OF THE BELOW:

  • Quantitative Research Methods 15 credits
  • Qualitative Research Methods 15 credits
  • Applied Population and Demographic Analysis

For more information on typical modules, read Inequalities and Social Science MSc Full Time in the course catalogue

Learning and teaching

We use a range of teaching and learning methods including presentations, seminars, workshops, tutorials and lectures. However, independent study is crucial to this degree – it allows you to prepare for taught sessions, develop your research interests and build a range of skills. This is particularly the case for the dissertation/applied project module of this programme.

Supported through workshops and supervision, students develop their research dissertation or an applied project in partnership with external organisations. This offers students an exciting opportunity to gain experience of applying their knowledge and skills to policy and practice.

Assessment

Your core modules will be assessed using essays. Optional modules may use other forms of assessment that reflect the diversity of the topics you can study, including presentations, book and literature reviews, research proposals and reports among others.

Career opportunities

This programme prepares students for policy, research and applied careers across the private, public and third sectors. The interdisciplinary and dynamic nature of the programme equips students with the critical, analytical and methodological skills to deploy their specialist expertise in a clear, efficient and effective manner. You will develop transferable skills in research, analysis and communication, as well as in-depth knowledge that can be applied across a range of domains and contexts.

Due to the rigorous and applied nature of our teaching, graduates might pursue careers across a diverse range of organisational settings such as in government, NGOS, charities, think tanks, social enterprises and business. The programme also offers excellent development opportunities to pursue a career in social research or undertake research at PhD level.

Irrespective of your future career intentions, we offer tailored guidance and support through ESSL Faculty staff and the Leeds Careers Centre.



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This Masters will examine when and why humans develop social relations with other individuals or social groups, and the psychological consequences of these social relations- http://www.gold.ac.uk/pg/msc-psychology-social-relations/. Read more
This Masters will examine when and why humans develop social relations with other individuals or social groups, and the psychological consequences of these social relations- http://www.gold.ac.uk/pg/msc-psychology-social-relations/

The programme offers a social-developmental psychology training that will advance the careers of anyone who's interested in the people professions – diverse careers related to education, work, health, government and non-profit organisations.

Humans have a fundamental ‘need to belong’ and form relationships. Positive relationships lead to higher well-being, personal development and well-functioning societies, whereas a lack or dysfunctional relationships lead to poor psychological well-being, unhealthy development and conflict or violence within society.

The programme will teach you about the different psychological approaches to studying social relations in children, adolescents and adults, drawing from different areas of study within psychology (eg social and personality psychology, developmental psychology, educational psychology, clinical psychology, social neuroscience).

These approaches are relevant to anyone interested in understanding social relations between individuals (ie families and friendships) and social groups within a variety of settings (eg schools, the workplace, social movements). The programme will also introduce different strategies aimed at improving social relations between individuals and groups (eg intergroup contact, bullying interventions, mentoring schemes).

Research methods training

The programme will offer ESRC recognised research methods training, which will be useful for students wishing to pursue doctoral training or work in careers where such skills will be appreciated by employers in private and public sectors.

Diverse career opportunities

Given the importance of social relationships for motivation and well-being and given societal issues that arise out of social and racial inequalities and conflicting cultural values, this programme will offer useful insights for diverse careers related to counselling, education, businesses, and government/non-profit organizations. Moreover, you will benefit from conducting research in cosmopolitan London, where diverse socio-cultural groups co-exist in relative harmony.

Contact the department

If you have specific questions about the degree, contact Dr Madoka Kumashiro or Professor Adam Rutland or Val West.

The programme is made up of a total of 180 credits, comprised of:

-four core modules (totalling 135 credits)
-a core optional module (15 credits)
-two other optional modules (totalling 30 credits)

Core modules

The core modules will include:

-Critical Issues in the Psychological Study of Social Relations
-Statistical Methods
-Research, Design and Analysis
-Independent Research Project of your choice, supervised by leading experts in the field

Core optional modules:
You select one of the following core optional modules which focus on child relationships, adult close relationships, or group relations:

-Social-Moral Development
-Self and Relationships
-Social Psychology of Social Problems

Optional modules:
Two other optional modules may be selected from a range offered in the Department of Psychology, including the remaining core optional modules listed above. Other possible modules include

-Qualitative Research Methods*
-Organisational Behaviour and Health
-Psychology and Education
-Addictive Behaviours
-Investigative Forensic Psychology

*If you wish to fulfil the criteria for an ESRC-DTC approved MSc, you will be required to take as an option Qualitative Research Methods, which is taught by the London Social Science (Goldsmiths-Queen Mary, University of London) ESRC Doctoral Training Centre.

Skills

The programme will:

develop your knowledge and understanding of psychological approaches and common psychological methods for studying social relations in children and adults
enable you to develop a thorough knowledge of psychological theories and interventions in relation to improving social relations in a range of social settings
equip you with transferable knowledge and skills required to undertake psychological research, including the design, implementation and interpretation of studies and communication of outcomes

Careers

As a graduate of this programme you'll be able to use your knowledge of social relations in the workplace. This will help you advance your career in a wide variety of settings (including clinical, health, educational and work organisations) that involve human relationships, at both the individual and group level.

With the help of the tutors, you'll also be encouraged to work with one or more of the many organisations (private, public, or third sector) available in greater London for your independent research project, which will help you establish a professional network.

Funding

Please visit http://www.gold.ac.uk/pg/fees-funding/ for details.

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The University of Chichester provides social work awards in partnership with West Sussex Children and Adult Services and other partners from the voluntary, independent and private sector organisations. Read more
The University of Chichester provides social work awards in partnership with West Sussex Children and Adult Services and other partners from the voluntary, independent and private sector organisations. Practice is seen as central to the programme as an experiential base for learning, supported by a rigorous tutorial system, designed to help students integrate academic learning with their experience in social work and social care. As a result we have an excellent record in providing students with high quality, relevant practice placements.

The MA Social Work is nationally recognised and will be approved and endorsed by the Health and Care Professions Council (HCPC).


Student view
Course content
The programme has three possible levels of outcome:

Postgraduate Certificate (PG Cert): The Postgraduate Certificate lasts for approximately twelve months. Completion of a set number of academic credits will enable the award of Postgraduate Certificate.
Postgraduate Diploma ( PG Dip): The Postgraduate Diploma lasts for a period of between twelve and twenty four months. The award of the Postgraduate Diploma is conditional on the achievement of academic credits at Master’s level (FHEQ Level 7).
Master’s Degree (MA): Completion of the dissertation will enable students to achieve the cumulative 180 credits required for the award of the MA.

The programme is appropriate for you if you are interested in:

High professional and academic standards;
A commitment to forms of practice which proactively address discrimination and oppression;
A strong emphasis on research-mindedness;
Excellent practice learning opportunities provided in partnership with local and regional social work agencies and service users.
If you have completed relevant work experience prior to applying
If you enjoy:

Problem solving
Creative thinking
Working independently and in groups
Engaging in debate
If you want:

A qualification that will equip you for a range of careers in social work, social care, probation and criminal justice.
To work in statutory, voluntary and independent sector organisations in the UK and overseas.
About the programme

Students may study typically over 2 academic years to successfully complete and receive the MA Social Work.

The programme has three possible levels of outcome:

Postgraduate Certificate (PG Cert): The Postgraduate Certificate lasts for approximately twelve months. Completion of a set number of academic credits will enable the award of Postgraduate Certificate.
Postgraduate Diploma ( PG Dip): The Postgraduate Diploma lasts for a period of between twelve and twenty four months. The award of the Postgraduate Diploma is conditional on the achievement of academic credits at Master’s level (FHEQ Level 7).
Master’s Degree (MA): Completion of the dissertation will enable students to achieve the cumulative 180 credits required for the award of the MA.
Please see our Postgraduate Tuition Fees.

Our facilities
At Chichester, we teach in small groups and pride ourselves on the quality of the learning environment we have created for our students. The Social Work course is delivered on our Bishop Otter Campus where the Learning Resource Centre (LRC) is the hub of your learning environment. It has two upper floors of library resources with dedicated areas for silent work or group study, while on the ground floor you will find the Support and Information Zone, Media Centre, Otter Gallery, Costa Coffee and a variety of IT resources. There are over 130 open access PC workstations, 45 Apple IMacs and ample printing and media facilities. A state-of-the-art wireless network offers fast internet as well as access to all our online resources. Your Social Work subject librarian will be available to help you access all the library resources on the shelves and online.

Where this can take you
Social Work MA will equip you for a range of careers in social work, social care, probation and criminal justice. You will be able to work in the statutory, voluntary and independent sector organisations in the UK and overseas.

Indicative modules
Year One

Introduction to Social Work
Human Development and Psychology
Across the Lifespan
Social Work Law and Social Policy
Social Work Methods of Assessment,
Intervention, Risk and Safeguarding
Values, Dilemmas and Conflicts in
Social Work Practice
Assessed Practice 1
Professional Practice Skills
Year Two

Research Methods and Dissertation
Reflection, Analysis and Decision Making with Children and Adults
Assessed Practice 2
Teaching and Assessment
We focus on teaching quality as our first priority. Teaching staff are accessible and approachable and all of our staff have experience of working within a statutory or voluntary social work agency which means that you will be taught by professionals who have extensive, professional practice experience, as well as who publish a large number of nationally recognised books on social work. You will be supported in small tutor groups and will be allocated a dedicated personal tutor who will work with you for the duration of your course and support you in the application of professional standards in practice placements and the development of critical evaluation and reflection.
Most modules are assessed through written assignments or presentations. The practice elements of the course are assessed through portfolio presentation and assessor reports. The course includes a dissertation module.

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The MSc in Social Policy and Social Research combines theoretical understanding of the policy process with advanced methodologically focused training, providing students with the knowledge and skills needed to work efficiently in increasingly complex and challenging policy contexts. Read more
The MSc in Social Policy and Social Research combines theoretical understanding of the policy process with advanced methodologically focused training, providing students with the knowledge and skills needed to work efficiently in increasingly complex and challenging policy contexts.

Degree information

Students are equipped with the theoretical and conceptual tools and empirical evidence necessary for investigating social policy and policy-making, including critical assessment of the role of research in policy formulation, implementation and evaluation. Graduates will be able to apply this knowledge and understanding and analytical and methodological skills to conduct social research in different policy contexts.

Students undertake modules to the value of 180 credits. The programme consists of two core modules (60 credits), two optional modules (60 credits) and a dissertation (60 credits).

Core modules
-Social Policy: Theory, Practice and Research
-Social Theory

Optional modules - students choose two optional modules from a wide selection that includes (but is not limited to) the following. A minimum of one optional module should focus on research methods.
-Comparative Education: Theories and Methods
-Economic Perspectives of Education Policy
-Impact Evaluation Methods
-Longitudinal Research and Analysis
-Promoting Health and Wellbeing: Planning, Practice and Participation
-Qualitative Data Analysis
-Quantitative Data Analysis I
-Quantitative Data Analysis II
-Research Engagement, Participation and Impact
-Statistical Analysis
-Systematic Reviews: Diversity, Design and Debate
-Systematic Reviews: Meta-Analysis, Qualitative Synthesis and Mixed Methods Synthesis
-Understanding Education Policy
-Understanding Research

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 17,000 words, plus a 2,000-word proposal (60 credits). Compulsory dissertation workshops and online resources help prepare students for the dissertation.

Teaching and learning
A rich variety of teaching of methods are used including lectures combined with seminars, and individual, small-group and whole-class discussions and exercises. In some modules, students are given the opportunity to develop presentational skills through group projects. The programme includes both face-to-face and online components.

Careers

Graduates of this programme may find work in a broad range of areas, including as social policy researchers and advisers in government, NGO personnel, or as university and college lecturers and researchers.

Employability
Graduates from this MSc gain sought-after skills that allow them to pursue professional careers in academia and/or policy research, policy analysis, policy development and implementation, programme management, and policy advocacy within the public, private, or non-profit sectors.

Why study this degree at UCL?

The programme offers a unique opportunity to study how research, along with other forms of evidence and knowledge, connects with and impacts on policy-making and professional practice. It is structured to allow students to customise their degree according to their preferred area of study and future career plans.

The programme is located within the Department of Social Science, a research-intensive department with an outstanding international reputation.

Our central London location and network of partners and alumni gives us access to nationally and internationally prominent guest speakers who give insight into policy as it is formed.

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This course provides an understanding of social research, with a particular focus on social statistics and quantitative methods. Read more

Introduction

This course provides an understanding of social research, with a particular focus on social statistics and quantitative methods. The course includes orientation material on social research methods as a whole, and detailed training on a wide range of statistical methods, with advanced modules on data management and emerging priority research areas, such as big data and social network analysis.
Teaching covers the theories behind the methods, and the practical work in using datasets and analysing them with statistical software. Students will gain a variety of highly marketable skills in the areas of social research and social statistics.

Key information

- Degree type: MSc, Postgraduate Diploma
- Study methods: Full-time, Part-time
- Start date: Full-time: SeptemberPart-time: September/JanuarySee semester dates
- Course Director: Dave Griffiths
- Location: Stirling Campus

Course objectives

This course provides an understanding of social research, with a particular focus on social statistics and quantitative methods. The course includes orientation material on social research methods as a whole, and detailed training on a wide range of statistical methods, with advanced modules on data management and emerging priority research areas, such as big data and social network analysis.
Teaching covers the theories behind the methods, and the practical work in using datasets and analysing them with statistical software. Students will gain a variety of highly marketable skills in the areas of social research and social statistics.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.5 with 6.0 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade B
- Pearson Test of English (Academic): 60 with 56 in each component
- IBT TOEFL: 90 with no subtest less than 20

For more information go to http://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard.

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Structure and content

Students will undertake four core modules, two option modules and complete a 15,000 word dissertation. In the full time programme, 3 modules are completed during the Autumn semester, 3 in the Spring, and the dissertation submitted in the summer. Module either cover wider topics in social research, or focus on understanding and implementing advanced quantitative methods.

Core modules

- Research Design and Process
- Quantitative Data Analysis
- Advanced Data Analysis
- Advanced Data Management
- Using Big Data in Social Research

Option modules
Students will also select two option modules from a range of applied social research topics. The recommended option is Social Network Analysis.

Other options include The Nature of Social Enquiry, Policy Analysis and Evaluation Research, Qualitative Analysis and Research Methods in Criminology and Socio-Legal Studies. Some of these modules will be particularly suitable for students with an interest in mixed methods research.

Delivery and assessment

Modules are generally a combination of lectures and workshops. Teaching largely takes place on Tuesdays, although some components might take place on other days. The contact hours are sympathetic to those working alongside their studies. Most teaching is performed in smaller classes, with group activities. Modules are usually assessed by an examination, software based assignments, and essays.

Why Stirling?

REF2014
In REF2014 Stirling was placed 6th in Scotland and 45th in the UK with almost three quarters of research activity rated either world-leading or internationally excellent.

Career opportunities

Social statistics are an important area within applied social research, offering employment opportunities within the private, public and voluntary sectors, as well as further study. Students will develop thorough knowledge of software and learn a range of sought-after technical skills, including accessing, preparing, analysing and summarising complex quantitative datasets. The course is also designed to provide the technical skill set required for further PhD study.

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This MSc offers a critical approach to 'people-centred' development, addressing the challenges for equitable citizenship in the context of social diversity and globalisation, particularly in urban contexts. Read more
This MSc offers a critical approach to 'people-centred' development, addressing the challenges for equitable citizenship in the context of social diversity and globalisation, particularly in urban contexts. Participants engage in a critical analysis of the theory and practice of social development alongside gaining the skills required to be a reflective social development practitioner.

Degree information

The programme objectives are to give participants a solid grounding in social analysis skills and perspectives, rooted in social theory around identity, inequality, and social change processes. Students learn how development interventions can best support the citizenship claims of diverse groups of women and men, and girls and boys living in the Global South, and consider the role of the social development practitioner in this endeavour.

Students undertake modules to the value of 180 credits.

The programme consists of three core modules (90 credits), either one or two optional modules (totalling 30 credits) and a dissertation (60 credits). A Postgraduate Diploma (full-time nine months) is offered, comprising three core modules (90 credits) and one or two optional modules (30 credits).

Core modules - all three of the following:
-Social Policy and Citizenship
-Social Diversity, Inequality, and Poverty
-Social Development in Practice

Optional modules - one or two optional modules, totalling 30 credits, usually including the following, among others:
-NGOs and Social Transformation
-Communication, Technologies and Social Power
-Gender in Policy and Planning
-Participatory Processes: Building for Development
-Disaster Risk Reduction in Cities
-Post Disaster Recovery: Policies, Practices and Alternatives
-Critical Urbanism Studio I and II
-Housing as Urbanism: Housing Policy and the Search for Scale
-Housing Policies: Practical Dimensions and Alternative Options
-Neo-Structuralism and the Developmental State
-Political Economy of Development: Land, Food and Agriculture
-Political Economy of Development: Industrialisation and Infrastructure
-Adapting Cities to Climate Change in the Global South
-Sustainable Infrastructure and Services in Development
-Urban Water and Sanitation, Planning and Politics
-Transport Equity and Urban Mobility
-Urban and Peri-Urban Agriculture: Knowledge Systems in the Global South
-The City and Its Relations: Context, Institutions and Actors in Urban Development Planning
-Managing the City Economy

Dissertation/report
All students undertake an independent research project related to the main themes of the programme, culminating in a dissertation report of 10,000 words (60 credits). Topics may be chosen to enhance career development or for their inherent interest.

Teaching and learning
The programme is delivered through a combination of lectures, seminars, practical classroom exercises, and fieldwork within the UK and abroad. Student performance is assessed through coursework, examinations, and a dissertation report as well as an assessment of practical work, including the international fieldwork group report.

Fieldwork
The programme incorporates group fieldwork in London and in a selected country of the Global South. The cost of flights, visas, necessary vaccinations, accommodation, and fieldwork-related travel and facilitations costs, are incorporated within the programme fees. Meals and other expenditure must be covered by the student.

Careers

Graduates of this Master's programme are likely to find employment as officers for local and international NGOs, as officers for international organisations, as officers in local or national government departments and as consultants. Some graduates pursue an academic career, either through doctoral studies or through teaching and research in a number of prestigious universities.

Top career destinations for this degree:
-Head of Strategy Funding, Global Witness
-Researcher, Chinese Federation of Trade Unions
-Development Consultant, World Bank Group
-Corporate Responsibility Manager, Odebrecht
-Project Co-Ordinator, Thamani Youth of Kenya

Employability
Graduates of this programme are able to link theory to practice, critically reflect, and negotiate complex social relations as well as facilitate social processes in a context of diversity - all key transferable skills in the job market. Graduates have secured jobs in a variety of sectors and countries and built fulfilling careers in social development.

Why study this degree at UCL?

The programme introduces students to critical, analytical and practical skills that will be of use in their future careers, whether as academics, social development practitioners or advocates for the need to place the 'social' at the centre of development. Students have an opportunity to critically examine relevant bodies of knowledge, current debates and field experience in primarily urban contexts, and to consider the challenges of making development policy, planning and practice more socially responsive.

Students on this MSc benefit from the strong practical component, which includes fieldwork assignments in London and an international field trip to a city in the Global South. This trip provides the opportunity to develop practical skills, use tools for participatory action research, and reflect on the roles and responsibilities of social development practitioners.

The practice-based components of the programme also provide students with the opportunity to network with organisations and professionals working in the social development sector. In a complementary series of careers sessions, students can network with Development Planning Unit alumni and partners who are working in relevant fields.

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There is ever-growing national and international demand for qualified professionals and scientists who have expertise in one or more domains of social and environmental modelling and GIS-based spatial analysis and decision support. Read more
There is ever-growing national and international demand for qualified professionals and scientists who have expertise in one or more domains of social and environmental modelling and GIS-based spatial analysis and decision support. The UCL's Geospatial Analysis MSc provides rigorous scientific and vocational training for the next generation of scientific modelling and decision-support professionals.

See the website http://www.ucl.ac.uk/prospective-students/graduate/taught/degrees/geospatial-analysis-msc

Key Information

- Application dates
All applicants:
Open: 5 October 2015
Close: 29 July 2016
Optional qualifications: This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.

English Language Requirements

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on http://www.ucl.ac.uk/prospective-students/graduate/life/international/english-requirements .

International students

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from http://www.ucl.ac.uk/prospective-students/international .

Degree Information

The programme combines a rigorous treatment of underlying theory for, and methods of implementing and exploiting, spatial analysis and decision support. Optional courses provide the opportunity to develop expertise in modelling and analysis in one or more areas of social and environmental science with social and policy dimensions.

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 dissertation (60 credits).

A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered.

A Postgraduate Certificate (60 credits, full-time 12 weeks, part-time one year) is offered.

- Core Modules
GIS Principles and Technology
Mapping Science
Principles of Spatial Analysis
Representation, Structures and Algorithms

- Options
Airborne Data Acquisition
Climate Modelling
Geodemographics and Population Geography
GIS Design
Network and Locational Analysis
Spatial Decision Support Systems
Spatio-temporal Analysis and Data Mining
Surface Water Modelling
Terrestrial Carbon: Modelling and Monitoring
Web and Mobile GIS

- Dissertation/report
All MSc students undertake an independent research project which culminates in a dissertation of approximately 12,000 words and a poster presentation.

Teaching and Learning

The programme is delivered through a combination of lectures, seminars, tutorials and laboratory and computer-based practical classes. Assessment is through independent project work, practical-based and written coursework, and the dissertation.

Further information on modules and degree structure available on the department web site Geospatial Analysis MSc http://www.ucl.ac.uk/gis

Funding

Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website http://www.ucl.ac.uk/prospective-students/scholarships .

Careers

There is a national and international need for scientists with skills in GIS-based analysis and decision support complemented by a deep knowledge of domain-specific models and analytical methods that can be brought to bear on environmental issues and their social consequences. The MSc provides an ideal foundation for PhD research, or for prospective employment within research organisations, consultancies, government departments and a wide range of industries.

- Employability
A student on the first cycle of the course came with work experience in water engineering in several Middle Eastern countries. He took the options in Spatial Decision Support, Network and Locational Analysis, Geodemographics and Population Geography, and Spatio-Temporal Analysis and Data Mining to broaden and add depth to his skills base; his dissertation was undertaken with Kuwait's Environmental Public Authority. He spent a year acting as a consultant on water engineering projects worldwide and returned to UCL in September 2013 to study for a PhD.

Why study this degree at UCL?

The Geospatial Analysis MSc is run by UCL Geography, which enjoys an outstanding international reputation for its research and teaching. The programme brings together the department's strong expertise in spatial science and social and environmental modelling.

Contributions to the programme are also made by UCL Civil, Environmental and Geomatic Engineering, providing complementary expertise in geographic information systems.

Students enter a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. UCL's location, in central London, provides easy access to many key intellectual venues and resources, such as the British Library.

Student / staff ratios › 43 staff including 15 postdocs › 158 taught students › 70 research students

Application and next steps

- Applications
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

- Who can apply?
The programme is particularly suitable for students with an undergraduate degree in Geography, Earth or Environmental Science, Geomatics, Oceanography, or another relevant discipline. Applicants with relevant professional experience in geographic information systems, spatial analysis or decision support will also be considered.

What are we looking for?
When we assess your application we would like to learn:
- why you want to study Geospatial Analysis
- why you want to study Geospatial Analysis at UCL
- what particularly attracts you to this programme
- how your academic and/or professional background meets the demands of a challenging academic environment
- where you would like to go professionally with your degree

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

For more information see our Applications page http://www.ucl.ac.uk/prospective-students/graduate/apply .

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What do Facebook, the financial system, Internet or the brain have in common?. "Everything is connected, all is network". Read more
What do Facebook, the financial system, Internet or the brain have in common?

"Everything is connected, all is network"
From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), finance (financial risk and systemic instability, financial networks, interbank cross-correlations), marketing and IT (social media, data analytics), public health (epidemic spreading models), or biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students with a mathematical background who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

More about our two schools

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research, teaching excellence and unrivalled links with business and the public sector. The School of Mathematical Sciences has a distinguished history on itself. We have been conducting pioneering mathematical research since the 1950s, and as one of the largest mathematical departments in the UK, with over 50 members of staff, the school can offer diverse postgraduate study opportunities across the field, from pure and applied mathematics, to finance and statistics. Along with the MSc in Network Science, our cohort of postgraduate students specialise in Mathematics and Statistics, Mathematical Finance and Financial Computing. We are one of the UK’s leading universities in the most recent national assessment of research quality, we were placed ninth in the UK (REF 2014) amongst multi-faculty universities. This means that the teaching on our postgraduate programmes is directly inspired by the world-leading research of our academics. Our staff includes international leaders in many areas of mathematical research, and the School is a hive of activity, providing a vibrant intellectual space for postgraduate study.

The School of Electronic Engineering and Computer Science is internationally recognised for their pioneering and ground-breaking research in several areas including machine learning and applied network analysis. This expertise uniquely complements the more theoretical knowledge offered by the School of Mathematical Sciences, providing a well balanced mix of theory and applications and offering a deep and robust programme that combines the foundations of the mathematics of networks with the latest cutting edge applications in real world problems.

Additionally, Queen Mary holds a university-level Bronze Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology in higher education and research.

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This programme examines global migrations and social justice by addressing questions such as who moves and why, who is allowed to settle and where, what are the roles of states, institutions and civil societies in these processes. Read more
This programme examines global migrations and social justice by addressing questions such as who moves and why, who is allowed to settle and where, what are the roles of states, institutions and civil societies in these processes. It provides advanced training in social science research methodology to fulfil Economic & Social Research Council (ESRC) postgraduate research training requirements.

[[Why this programme}}

● The programme draws on recognised expertise in migration studies, sociology, anthropology, history, criminology, human geography, policy and politics and ethics as well as a wide variety of country and regional expertise.

● You will get access to cutting-edge academic research on migration with an emphasis on social justice and learning from non-academic work in this area.

● You will be taught research methods by expert staff from a wide range of disciplines, allowing you to benefit from specialist knowledge and methodology.

● The programme is supported through GRAMNet, the University of Glasgow’s internationally recognised research network for Refugees, Asylum and Migration in Scotland. You will benefit from the provisions offered by GRAMNet, such as training, seminars, opportunities for knowledge exchange and spaces for dissemination.

● The programme is the only Masters programme in Scotland with a focus on migration studies and social justice.

● This degree is taught jointly with the MSc Global Migrations & Social Justice, which has a stronger focus on the subject, with less emphasis on research methods.

Programme structure

You will take five core and one optional course as well as complete a dissertation or a practical project.

Core courses

• Global migrations: Histories, structures, experiences.
• Public social science for social justice
• Research design
• Qualitative methods
• Quantitative data analysis.

Optional courses

• Access, equity, health
• Century of the refugee: refugees and statelessness in comparative perspective, 1900-2000
• Immigration and asylum law
• Migration, mobility and settlement: Post-Soviet Migrations
• Migration, mobility and settlement: Central and East European migration to the UK and Scotland
• Racism and modernity
• Texts for diversity: language across learning for children with English as an additional language.
• Some courses might not be available every year. You may also be able to choose from courses in the other subjects in the School of • Social & Political Sciences.

Resources and facilities

In addition to a long history of large communities of migrants setting in the city Glasgow is host to the UK’s largest population of refugees and asylum seekers under dispersal policy. Across the city there is a large number of organisations working with migrants, refugees and asylum seekers in a variety of ways. Within this distinctive context, GRAMNet - the University of Glasgow’s internationally renowned Glasgow Refugee Asylum and Migration Network - brings together researchers, practitioners, NGOs and policy makers with a focus on examining the social and cultural effects of migration. At its heart is a focus on social and intercultural values, social justice and critical engagement with questions around migration. The network’s reputation for developing and applying innovative participatory methodologies to address complex questions is internationally renowned.

For

Background and Aims

please check out the website http://www.gla.ac.uk/postgraduate/taught/globalmigrationssocialjusticemres/#/backgroundandaims

[[Career Prospects ]]
http://www.gla.ac.uk/postgraduate/taught/globalmigrationssocialjusticemres/#/careerprospects

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What do Facebook, the financial system, Internet or the brain have in common?. All are connected in a network. Read more
What do Facebook, the financial system, Internet or the brain have in common?

All are connected in a network. From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc in Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), public health (epidemic spreading models), marketing and IT (social media, data analytics) to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

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We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Read more
We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Taking the Industrial Experience option as part of your degree gives you a route to develop real-world, practical problem-solving skills gained through your programme of study in a professional context.

This can give you an important edge in the graduate job market. As a leading research School, we have excellent links with industry. We also employ dedicated staff to help you arrange your year in industry. The Industrial Experience programmes are highly competitive and attract the best students given the limited availability of placements. We are unable to guarantee all students secure an industrial placement, as our industrial partners conduct their own employment application and interview processes.

This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science. The MSc modules cover the following aspects:

-Statistical Data Modelling, data visualization and prediction
-Machine Learning techniques for cluster detection, and automated classification
-Big Data Processing techniques for processing massive amounts of data
-Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio Engineering, Intelligent Sensing and Internet of Things
-Use case-based projects that show the practical application of the skills in real industrial and research scenarios.

Students will be offered lectures that explain the core concepts, techniques and tools required for large-scale data analysis. Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.

The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.

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This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. Read more
This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

The Big Data science movement is transforming how Internet companies and researchers over the world address traditional problems. Big Data refers to the ability of exploiting the massive amounts of unstructured data that is generated continuously by companies, users, devices, and extract key understanding from it.

A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.

The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science. The MSc modules cover the following aspects:

-Statistical Data Modelling, data visualization and prediction
-Machine Learning techniques for cluster detection, and automated classification
-Big Data Processing techniques for processing massive amounts of data
-Domain-specific techniques for applying Data Science to different domains: Computer Vision, Social Network Analysis, Bio-Engineering, Intelligent Sensing and Internet of Things
-Use case-based projects that show the practical application of the skills in real industrial and research scenarios.
-Students will be offered lectures that explain the core concepts, techniques and tools required for large-scale data analysis. -Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. -Students will also undertake a large project where they will demonstrate the application of Data Science skills in a complex scenario.

The programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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This MSc Business Management (Corporate Social Responsibility) course is focused on your career development. With this master's degree accredited by the Association of MBAs (AMBA) you will be ready for a successful international career with a commercial or not-for-profit organisation. Read more

This MSc Business Management (Corporate Social Responsibility) course is focused on your career development. With this master's degree accredited by the Association of MBAs (AMBA) you will be ready for a successful international career with a commercial or not-for-profit organisation.

On this course you will learn to identify, analyse and evaluate a range of business related issues. You will develop suitable responses to these problems and be able to select the most appropriate course of action.

The specialism within this degree enables you to focus your studies within the area of corporate social responsibility. Focusing on the corporate social responsibility discipline will prepare you for a range of careers around the themes of sustainability and corporate governance. You will learn to ask underlying ethical questions about business and management, and you'll develop the tools to understand complex problems from a range of socially responsible perspectives. Studying the specialism means you will take corporate social responsibility modules during your MSc degree. Your final degree will be awarded as MSc Business Management (Corporate Social Responsibility).

Course content

Modules

On the MSc Business Management (Corporate Social Responsibility) course you will study the modules listed below, and then choose between completing a dissertation, a synoptic research project or work-based project. Please see the course structure chart.

  • Research Methods
  • Operations and Process Management
  • Introduction to the Principles of Marketing
  • Finance and Accounting for Business
  • Global Strategic Management
  • Developing Skills for Business Leadership
  • Managing the Contemporary Organisation
  • Corporate Governance and Social Responsibility
  • Strategic Business Simulation (CSR focus)

Capstone Module Choice

You will choose one of the following capstone modules that best suits your academic interests or professional development requirements.

  • Dissertation
  • Synoptic Research Project
  • Client Project

Chartered Management Institute (CMI) Accreditation

This course is dual accredited by CMI – a CMI accreditation means you have the option to graduate with your degree and gain a professional CMI qualification (Level 7 in Strategic Management and Leadership) and there’s no extra study involved. This accreditation is not only a hallmark of excellence, but also provides you with benefits. For example, student members can access online content, networking events, company visits, online seminars and mentoring.

Teaching and learning

Much of the teaching on the course takes the form of interactive workshops, but there are also lectures from staff and visiting speakers. Lectures, discussions, role-play exercises and seminars are linked with selected case studies and assessments to strengthen your practical analysis and decision-making skills. You will have the opportunity to develop your skills in working as part of a team through structured group assignments.

Teaching staff at the Business School are academic researchers and/or from an industry background with an in-depth practical experience of business and management issues. Visiting speakers from business, industry, consultancies and research bodies provide further input.

Approach to assessment

Each module is assessed individually, generally on the quality of written or visual presentation work, and to some extent on verbal presentations. Assessment methods may include reports, seminar papers, formal written examinations, in-class tests, project work, visual and verbal presentations, workshops, simulations, oral exams (viva) and practical exercises. The majority of assessments are based on individual assignments, but there is some assessed group work.

Specialist facilities

At Headington we have developed outstanding facilities. Our John Henry Brookes Building is the most significant project in the history of Oxford Brookes University. Set at the heart of our Headington campus, it has been designed for the future of higher education and has transformed the experiences of our students and the entire University community. Find out more about the John Henry Brookes Building.

We're investing over £30m to create modern teaching and learning facilities and creating a new home at Headington for the Business School.

Set to be complete in 2017, you'll see:

  • The Business School brought together in a modern, professional environment
  • 30 teaching rooms and a collaborative lecture theatre
  • A new Main Hall with soundproof wall, perfect for teaching and events like graduations
  • Social learning spaces and a cafe
  • A new gateway into the Headington Campus.

Our library provides specialist business resources (both hard copy and via online access) to UK and overseas companies' annual reports, statistics on all aspects of business and management, a wide range of constantly updated key texts, and postgraduate MA, MBA, MSc and PhD theses.

Field trips

By listening to our students and recognising the need for practice-oriented business and management education, we have introduced new ways to engage with companies from the public and the non-profit sector. You will have the opportunity to visit various company sites organised through our extensive network of corporate contacts and the Chartered Management Institute. We also host a number of guest speakers throughout the year who bring their business and management experience and expertise to the classroom.

We offer an International Business in Practice Study Trip module. The purpose of this study trip is to give postgraduate students a hands-on, intensive experience with the ideas and practices of global business. The programme will include presentations from local management executives and experts. Students will have direct interaction with management executives and practices through site visits to major corporations and agencies.

This study trip is voluntary and all costs associated with the trip will need to be funded by you. It is not linked to university assessments in any way. If you successfully complete this module you will have the following non-credit bearing module recorded on your transcript: P58335 International Business in Practice: Study Trip.

Field trips are optional and incur a cost.



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The master's in Risk Analysis has a unique focus on the societal, health, safety and environmental (not financial) aspects of risk. Read more
The master's in Risk Analysis has a unique focus on the societal, health, safety and environmental (not financial) aspects of risk. Gain knowledge and understanding of: social science theories, concepts, techniques and organisational approaches to risk assessment, management, governance and communication. Career prospects for graduates are excellent in this rapidly developing field.

Key benefits

• Unrivalled location that allows students access to experts in the field of risk analysis.

• Potential for three week internship with leading public and private sector organisations.

• Close links with, and speakers from, government and industry gives students insights and up-to-the-minute knowledge of the subject area.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/risk-analysis-ma-msc.aspx

Course detail

- Description -

In recent years, the ideas, concepts and tools of risk analysis have come to dominate the way in which we conceive and respond to an ever expanding range of societal threats, be it to the environment, health, security, prosperity or even lifestyle. However, how we assess, manage, govern and communicate risk are regular sources of political conflict; posing dilemmas for policymakers, public and private sector organisations and individuals alike. Increasingly, it has become recognised that such issues – manifest in crises from food safety to banking- cannot be answered by simple technical ‘know-how’ alone, but rather demand understanding of the political, organisational and social contexts in which risk decisions are made.

The MSc/MA Risk Analysis draws together a unique combination of risk scholarship from across the social sciences, such as psychology, political science and sociology, to provide an advanced academic foundation in risk studies. In so doing, the programme equips students to critically analyse risk problems in a wide range of public policy, organisational and societal settings; evaluate the dynamics of risk governance and management options; and develop reflexive communication strategies.

- Course format and assessment -

Specialist taught modules assessed by coursework. Students can undertake research within a public or private sector by choosing the Risk Internship module as an option. The three-month dissertation is compulsory and can be taken overseas or in the UK.

Career prospects

The programme enables students to undertake further doctoral research or enter into careers as risk specialists in this rapidly developing field. Graduates are able to work in industry, consultancies, governmental and non-governmental agencies. Employment destinations of past students include the European Commission, HM Government, UN Food and Agriculture Organisation, Environment Agency, US Department of Homeland Security, Medical Research Council, Pricewaterhouse Coopers, KPMG, SwissRe, Ernst and Young, Marsh Risk Consulting, Federal Reserve Bank of Boston, Total, L’Oreal, Network Rail, Sainsburys and ING.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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Sustainable development, or development that balances economic, social, and environmental aspects, is one of the greatest challenges of our time, and Information and Communication Technologies (ICTs) can be powerful tools in helping to achieve this. Read more
Sustainable development, or development that balances economic, social, and environmental aspects, is one of the greatest challenges of our time, and Information and Communication Technologies (ICTs) can be powerful tools in helping to achieve this.

The ICT for Development (ICT4D) specialism is a strand within the established and highly successful MSc Practising Sustainable Development. It is offered jointly by the Politics, Development and Sustainability (PDS) Group and the UNESCO Chair/Centre in ICT4D at Royal Holloway, University of London.

This ICT4D Masters strand takes a global perspective on sustainable development and the role of ICTs; placed at the interface of research and practice, it is designed for those who want to launch or further their careers as development practitioners or scholars. It combines cutting-edge teaching on ICT4D with rigorous training in the broader field of sustainable development, to provide a well-rounded perspective on current and future development challenges. This degree extends knowledge, develops key skills and optimises career prospects.

The course is also offered at Postgraduate Diploma level for those who do not have the academic background necessary to begin an advanced Master’s degree. The structure of the Diploma is identical except that you will not write a dissertation. If you are successful on the Diploma you may transfer to the MSc, subject to academic approval.

See the website https://www.royalholloway.ac.uk/geography/coursefinder/mscpgdippsdict4d.aspx

Why choose this course?

- This is an intellectually exciting and inspiring course, drawing on both physical and social sciences, which attracts a diverse, international group of students.

- Our teaching staff are leading international experts and have wide experience in different developing regions and economies in transition, including Latin America, the Caribbean, Africa, South Asia, East Asia and South-East Asia.

- You will benefit from small group learning and an intense but friendly atmosphere, and will receive individual mentoring and career advice from our staff (both from your personal tutor and a dissertation supervisor).

- You will receive an internationally renowned University of London degree, giving you a solid foundation for a career in the field of development and/or environment.

- The course will provide you with training in the skills needed to research and assess ICT for development. These include research design, project development, geographic information systems, remote sensing, participatory methods, project analysis and evaluation.

Department research and industry highlights

The UNESCO Chair/Centre in ICT4D at Royal Holloway is an interdisciplinary centre involving staff in Geography, Management, Computer Science and Earth Sciences. One of the world leaders in its field, with 17 affiliated staff and 18 PhD students, it is a vibrant research community embedded in both the College and the international ICT4D Collective of ICT4D practitioners. It has excellent links with NGOs, businesses and international organisations. Friendly and diverse, it is an exciting place to study and network with other ICT4D experts.

The Politics, Development and Sustainability (PDS) group consists of over 20 research-active staff, 35 PhD students and 50 Master’s students on four MSc programmes. We are committed to conducting collaborative research which seeks to understand and contribute to addressing problems of social inequality, environmental destruction and injustice. The breadth of its members’ research places it in an ideal position to contribute to theoretical and policy debates on key challenges facing Africa, Asia, Latin America and the Caribbean today.

Course content and structure

The course is divided into three compulsory elements; theory, policy and practice; research training; and a dissertation. Students studying for the Postgraduate Diploma do not undertake the dissertation.

Core course units:
Sustainability, Development and Governance
This course will equip students with a detailed understanding of the development of sustainable development as a discourse. Students will explore key sustainability issues such as climate change, globalisation, and human responses with an emphasis on the emergence of environmental governance as a means to pursue sustainability.

Technology and Development
This course provides you with an introduction to the role of technology in development, focusing particularly on mobile phone and computer technologies. The course combines an understanding of key theoretical debates and how technologies have been applied in diverse sectors such as health and education. The course also includes training in the use of GIS (geographical information systems) within a development context.

ICT4D
This course gives you the opportunity to develop deeper understandings of cutting-edge applications of ICT4D research and practice. Topics covered include environmental change and Green ICT, open development and subversive forms of technology use, and logics of inclusion and exclusion in ICT programmes. You will also examine project planning, monitoring and evaluation in the field of ICT4D.

Participatory Research
This course combines detailed understanding of the theoretical underpinnings of participatory research and methods with practical experience of using different participatory research techniques. These include participatory diagramming, participatory video and participatory environmental monitoring.

Research Training
You will be provided with training in a range of methods to enable you to plan, carry out and complete a piece of research. There are three modules in this element:
- Social Research Methods Training - provides a range of social science methods for field research and analysis.
- Quantitative Methods for Graduates - provides basic statistical concepts and procedures used in empirical research.
- Development and Environment Research Training - provides guidance for planning, developing and undertaking research in a development and environment context.

Dissertation (MSc only)
The dissertation is of between 12,000 and 15,000 words, on a topic of your choice which has been approved by the supervisor. It requires both secondary and primary research, and the demonstration of originality in integrating theoretical and practical research methods in tackling a particular problem. You will be encouraged to carry out your dissertation in collaboration with an organisation in the field of development and environment.

Community Volunteer Project
You will undertake an independent volunteer project which will give you practical experience in gaining sustainability related work experience in a non-for profit organisation. The project will enhance your employability whilst and provide an opportunity to gain practical experience of third sector organisational objectives, cultures and practices.

Elective course units:
Sustainability, Development and Society
You will develop a detailed understanding of key social / environmental relationships incorporating contemporary issues in the geographies of sustainability. These will include 'risk society', sustainable cities, and the impacts of corporate sector activities on the environment. You will also understand the challenges to sustainable development at household and community levels, with a focus on community-based approaches to sustainable development.

Business Ethics and Enterprise
The aim of the course is to equip students with the moral frameworks and critical abilities necessary to understand the role of business in society from an ethical perspective. The course will cover different types of business including large publicly traded multinationals, small and medium sized enterprises, social enterprises and family firms. Students will be expected to understand the different issues in these organizational types and to articulate moral arguments from a range of different perspectives.

International Sustainability Management
This course provides participants with an understanding of how Corporate Social Responsibility (CSR) informs sustainability management issues in large, transnational organisations. It will focus on issues such as consumption and sustainability as dichotomised between the apparently incompatible tensions of economic and environmental interests.

Other courses Geopolitics and Security / PIR / Management / Computer Science

On completion of the course graduates will have:
- an understanding at an advanced level of the relationships between, and complexities of, social, economic, political and environmental aspects of sustainable development and ICT4D

- an understanding at an advanced level of how the key issues in sustainable development theory and ICT4D influence policy and impact on practice

- the ability to critically analyse complex or contradictory areas of knowledge in aspects of sustainable development.

Assessment

Assessment is carried out by a variety of methods including coursework and a dissertation.

Employability & career opportunities

Past students of the MSc Practising Sustainable Development are now employed by international development and/or environment agencies, national government in their countries, national programmes and implementing agencies, higher education institutions, consultancies, private sector businesses, social enterprises and NGOs; as environmental and development policy-makers, managers, workers, activists, teachers and researchers. Many of our alumni are also currently undertaking doctoral programmes in the UK and abroad.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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