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Masters Degrees (Social Network Analysis)

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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 graduate entry level course is designed to equip social work students with the knowledge, skills and values necessary for qualification. Read more

This graduate entry level course is designed to equip social work students with the knowledge, skills and values necessary for qualification. Upon successful completion of the course students will have met the required levels of the Professional Capabilities Framework (PCF). They will then be able to register with the Health and Care Professions Council (HCPC) and ready to begin their first year in employment as a registered and qualified social worker.

The MA (Social Work) is an academic award dependent upon successful completion of a Masters level dissertation as well as demonstrating capable practice. There is an ‘exit award’ of PGDip, which allows successful students to register with the HCPC as a qualified and registered social worker. Students, who take this route, will be eligible to complete a Masters dissertation in Social Work Studies.

The specific educational aims of the course are to:

  • Develop core social work values as identified by The College of Social Work.
  • Develop a knowledge base to underpin capable and effective practice
  • Develop the necessary intellectual skills of critical thinking, inquiry and problem solving as applied to academic learning and to practice ethical, research minded and critically engaged practice
  • Develop a social work practice committed to social justice, which recognises structural inequality and which seeks to counter-act this

Social Work Skills Assessment Flat

Why Wolverhampton?

The course at the University of Wolverhampton has some excellent features including:

  • Opportunities for inter-disciplinary learning
  • Approved placement opportunities across a range of settings.
  • Opportunities to hear visiting lecturers from Germany, France, Sweden and the Netherlands. It may be possible for students to visit EU countries and gain valuable experience as ‘value added’.
  • There is commitment to International Social Work on the award and staff members have interests and publications in this area.

There is a strong staff and service-user interest in disability and this is embedded into academic modules and workshops.

Ethical and engaged practice is a core element of the award, which is enhanced by skills days relating to values and critical reflection. Several of the staff team have relevant publications in this arena and are also members of the Social Work Action Network, an organisation of social workers committed to equality and social justice.

Core members of staff on the course have a strong record of social work publications and/or conference presentations across a range of areas of interest.

There are also excellent campus facilities (catering, libraries and well equipped social learning spaces) which contribute to an enjoyable learning experience.

The Faculty of Education Health and Wellbeing series of seminars and lectures spans education, sport, care, psychology health and wellbeing, bringing you a variety of engaging speakers and experts from the University of Wolverhampton and many other UK universities, visit http://www.wlv.ac.uk/fehw/lectures

Career path

The course enables successful students to begin practice as a qualified and registered social worker.

The English qualification is accepted throughout the UK, the EU and is recognised Internationally.

Graduates may return to the University of Wolverhampton (or any Higher Education Institute) to undertake courses as part of their continuing professional development, which is a requirement to maintain social work registration with the HCPC. A revised framework for Continuing Professional Development and Post-Qualifying Awards is in development by The College of Social Work.

It is a condition of continuing HCPC registration that qualified and registered Social Workers maintain a record of CPD. There is also the opportunity for candidates to enrol on a programme of doctoral study - either a Professional Doctorate or a more conventional PhD.

What skills will you gain?

At the end of this course students will have acquired the knowledge to underpin practice; a range of intellectual skills of thinking and problem solving in academic learning and practice; enhanced self-awareness and social work specific skills. These will be incorporated into the 5 course learning outcomes:

  • Demonstrate capability in social work practice, requirements for Social Work Training and the PCT ensuring that social work's core values are central.
  • Be able to reflect critically on evidence and information, apply and synthesise this knowledge to social work processes and interventions to become an engaged social worker, committed to social justice.
  • Confidently and consistently apply intra-personal and inter-professional skills and knowledge when working with professions, agencies and service users/carers to promote best practice with people who are often vulnerable.
  • Demonstrate a critical commitment to a service user and carer centred approach in practice, focussed upon social work's core values.
  • Be able to engage in and demonstrate a critical analysis of the legal, political and social influences impacting on social work practice in a complex and changing environment, often characterised by ethical dilemmas or conflict of interests.

Who accredits this course?

The MA Social Work programme is regulated by the HCPC in collaboration between the University of Wolverhampton and local Health and Social Care providers. Furthermore, there is service user/carer involvement in the management of the course and in the delivery of the teaching.



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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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Do you want a course that provides a thorough grounding in advanced quantitative methods taught within an applied social science framework?. Read more
  • Do you want a course that provides a thorough grounding in advanced quantitative methods taught within an applied social science framework?
  • Would you like to learn methods of data analysis, including advanced statistics for complex data?
  • Would you like a skills-based course with practical training that is highly regarded for future employment within government and academia?

The course is designed to be accessible to non-statisticians, yet is more focussed than many other existing master's courses in social research methods. You'll need a base level of knowledge in undergraduate research methods which you will build on throughout the course to gain comprehensive statistical and analytical skills.

The course has a strong connection with the Cathie Marsh Institute for Social Research (CMIST), reflecting our commitment to interdisciplinary, integrated research. Research activities within the Social Statistics discipline area are both methodological and substantive. They focus on a wide range of subject areas including social inequalities, population dynamics and survey methodology. The SRMS MSc course is recognised by both the Economic and Social Research Council (ESRC) and the North West Doctoral Training Centre, from whom we receive a large number of Advanced Quantitative methods (AQM) and CASE awards each year.

The MSc course aims to develop future social scientists who will have a thorough grounding in research, and are equipped with the tools for collecting and analysing statistical data.

Those completing the MSc course are well suited to roles within central and local government, academia and commercial research and our rate of employability is especially high.

Contact the Course Director:

Professor Wendy Olsen

Email: 

Tel: 0161 2753043

or Admissions Tutor:

Dr K. Purdam

Email: 

Follow us on Twitter too

Course unit details

The SRMS course provides a thorough grounding in advanced quantitative methods, taught within an applied social science framework. Whilst the training focuses on advanced quantitative methods, the course is designed to be accessible to students coming from a broad range of disciplinary backgrounds and with varying levels of prior statistical knowledge.

The course is available full-time over one year or part-time over two-years, and may be studied as either an MSc or a Postgraduate Diploma.

All students (MSc and Postgraduate Diploma) take course units totalling 120 credits (eight 15-credit courses) over the year.

Course units typically include:

  • Methodology and Research Design
  • Introduction to Statistical Modelling
  • Statistical Foundations
  • Qualitative Research Methods
  • Survey Research
  • Multilevel Modelling
  • Longitudinal Data Analysis
  • Advanced Survey Methods
  • Social Network Analysis
  • Introduction to Demography
  • Structural Equation Modelling

All students proceeding to MSc must complete a research dissertation of up to 15,000 words. Those on the Postgraduate Diploma may upgrade to the full MSc subject to satisfactory course performance.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

There is an increasing need for well-trained social scientists who are able to apply advanced methods of analysis to complex data. Graduates of our programme in Social Research Methods and Statistics are in a good position to obtain jobs in central government, including the Office for National Statistics (ONS), the academic sector, local government and within the commercial research sector. We have excellent links with ONS and government departments such as the Department for Children, Schools and Families, local authorities and many commercial organisations and thus well placed to assist students in finding jobs. A number of our students already hold research positions (typically in local government or overseas) and take the MSc as part of career development programmes. The SRMS course is ideal preparation for students wishing to pursue doctoral study, and is a formal component of our 1+3 PhD training model. CMIST usually have a number of funded PhD studentships each year and many studentships are taken up by graduates of the SRMS programme.



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Thank you for your interest in the master's programmes of the WiSo-Faculty. On this webpages you will find all required information on the Master . Read more

Thank you for your interest in the master's programmes of the WiSo-Faculty.

On this webpages you will find all required information on the Master Sociology and Social Research - you will get a sneak peak into the programme structure as well as all facts about the admission criteria and the selection procedure.

In a nutshell

  • Standard period of study: 4 semesters, full-time
  • Start: Fall term
  • Degree title: Master of Science (M.Sc.)
  • Language: English
  • Fees: Only social fee
  • Application Deadline: June 15th 2018

Some examples of the questions Sociology and Social Research students look at

  • How does human decision-making produce societal consequences?
  • What are the links between ethnic diversity, trust, and conflicts?
  • What are the determinants of successful aging in modern societies?
  • How do families cope with the competing demands of modern everyday life?
  • How can we explain trends in social inequality with respect to educational attainment, income, and wealth?
  • How can we explain crime and delinquency and what are the (dis-)advantages of different prevention and intervention policies?
  • Which methods and assumptions allow me to make causal inferences based on non-experimental data?
  • When and how do I apply special methods of data analysis, such as social network analysis, meta-analysis, or factorial surveys?

"The Cologne Master in Sociology and Social Research focuses on advanced methods of data collection and analysis, thus providing an increasingly sought-after key qualification. This is done in a practical and research-oriented manner in relation to current topics such as ageing, the labour market, education, family, health, integration, crime and the economy." Clemens Kroneberg, Professor at the Institute of Sociology and Social Psychology

Only the best for your career

The M.Sc. Sociology and Social Research at the WiSo-faculty of the University of Cologne deepens the knowledge gained in your bachelor studies and makes you an expert in your respective area. For many managing positions of different industries and for certain professions in research and teaching, a master is indispensable.

Possible areas of employment for sociologists can be found within market and opinion research, national and international statistic agencies, in national and international associations that are concerned with social and economic policy, research institutions, the departments of media research within mass media corporations and personnel administration of corporations. Additionally, other areas of employment present in positions of local government e.g. in departments responsible for school-, family-, city- or environmental policy as well as provincial and federal agencies. Graduates possess skills that qualify for the upper grade of civil service and leading positions in social and market research as well as social planning.

Take your professional future into your own hands and benefit from the theoretical and methodical-oriented approach of the WiSo-Faculty, which combines research as well as teaching with practical experience.

Double degree option

In addition to our regular master’s programme, students have the option to study the Double Master’s Programme in Demography and Social Inequality in cooperation with the University of Groningen. Students of the international study programme spend one year at the WiSo Faculty and one year at the University of Groningen. After successful completion of the programme, they are awarded two degrees.

International partner universities

There is the possibility to apply for a semester abroad at one of the selected partner universities with a partnership agreement for the Master Sociology and Social Research. For further information please refer to the website of the International Relations Center (ZiB WiSo).



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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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The MSc in Social Policy and Social Research encompasses both a theoretical understanding of the policy process with advanced research methods training, providing students with the knowledge and skills needed to work in complex and challenging policy contexts. Read more

The MSc in Social Policy and Social Research encompasses both a theoretical understanding of the policy process with advanced research methods training, providing students with the knowledge and skills needed to work in complex and challenging policy contexts. This degree has ESRC 1+3 training recognition, meaning it stands alone as an MSc but will also prepare students for doctoral research.

About this degree

Students are equipped with the conceptual tools and empirical evidence necessary for investigating social policy and policy-making, including critical assessment of the role of research evidence in policy development and implementation. 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 three core modules (60 credits), optional modules (60 credits) and a dissertation (60 credits).

Core modules

  • Understanding the Policy Process: Theories and Issues
  • Evidence for Policy and Practice
  • Social Theory and the Study of Contemporary Social Problems

Optional modules

Students select optional modules from the following list.

  • Introduction to Data Analysis
  • Introduction to Regression Analysis
  • Introduction to Qualitative Research
  • Systematic Reviews Design and Planning
  • Survey Design
  • Impact Evaluation Methods
  • Longitudinal Data and Analysis
  • Using STATA Efficiently and Effectively
  • Advanced Qualitative Methods
  • Systematic Reviews for Complex Policy Issues
  • Research Engagement, Participation and Impact
  • Systematic Reviews: Meta-Analysis, Qualitative Synthesis and Mixed-Methods Synthesis

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 12,000 words. 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. 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. Assessment is through coursework assignments and a 12,000-word dissertation.

Further information on modules and degree structure is available on the department website: Social Policy and Social Research MSc

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

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 social policy and the ways in which research, along with other forms of evidence and knowledge, connects with and impacts on policy-making and professional practice. Training is also provided in social research methods relevant to people working in a policy or academic context. 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. It is taught by an interdisciplinary team, all with specialist expertise across a wide range of policy areas.

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 Masters will examine when and why humans develop social relations with other individuals or social groups, and the psychological consequences of these 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. 

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.

Modules & structure

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

  • four core modules (totalling 105 credits)
  • two core optional module (30 credits)
  • three other optional modules (totalling 45 credits)

Core modules

The following modules are all required: 

  • 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 two of the following core optional modules which focus on child relationships, adult close relationships, or group relations:

  • Social-Moral Development
  • The Interpersonal Self
  • Social Psychology of Social Problems

For the 2017-2018 academic year, The Interpersonal Self will not be offered, so you will need to take both Social Moral Development and Social Psychology of Social Problems.

Optional modules

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

  • Addictive Behaviours 
  • Psychology and Education - For 2017-18 academic year this module will not be offered
  • Investigative Forensic Psychology
  • Psychology of the Arts, Aesthetics and Attraction
  • Advanced Quantitative Methods
  • Statistical Data Analysis Project
  • Theoretical Issues in Psychology

The following options are also available to students in this MSc programme from the Institute of Management Studies (IMS). There is a possibility that some of these modules are not available as they may be offered at the same time as one of the Psychology modules above.

  • Organisational Behaviour and Health
  • Leadership and Talent Management 
  • Psychology of Marketing and Advertising 
  • Training, Coaching and Counselling

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.

Find out more about employability at Goldsmiths



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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.

About this degree

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
  • An Introduction to Public Economics and Public Policy

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.

Further information on modules and degree structure is available on the department website: Social Development Practice MSc

Funding

Candidates for the MSc in Social Development Practice may be eligible for the Swarovski Foundation scholarship. Details of this scholarship will be published on The Bartlett Development Planning Unit website in autumn 2017.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

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.

Recent career destinations for this degree

  • Institutional Capacity Building Programme Professional, International Committee of the Red Cross (ICRC)
  • Project Officer, Korea Development Bank
  • Corporate Responsibility Manager, Odebrecht
  • Development Consultant, World Bank Group

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.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

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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The increasing integration of technology into our lives has created unprecedented volumes of data on everyday social behaviour. Read more

The increasing integration of technology into our lives has created unprecedented volumes of data on everyday social behaviour. Troves of detailed social data related to choices, affiliations, preferences and interests are now digitally archived by internet service providers, media companies, other private-sector firms, and governments. New computational approaches based on machine learning, agent-based modelling, natural language processing, and network science have made it possible to analyse these data in ways previously unimaginable.

This is a chance to develop skills in computational techniques alongside a strong grounding in the principles and practice of contemporary social research. The programme’s quantitative methods training will help you harness complex data and use them to explore social theories and fundamental questions about societies. The programme’s theoretical and substantive training will introduce you to the principles of social inquiry and theories of human behaviour, and help you apply your technical skills to pressing social issues such as ethnic segregation in schools, income inequality, entrepreneurship, political change, and cultural diffusion.

Programme structure

During your first year you gain perspectives on the philosophy of social science, primers in the science of human decision-making, and frameworks for connecting individual behaviours to outcomes in social systems. You will also learn to apply advanced computational methods–including discrete choice modelling, social network analysis, agent-based simulation, and machine learning—to draw inferences about micro-level behaviours and macro-level outcomes.

With these building blocks in hand, you spend the third semester assembling critical knowledge of key theories and contemporary research in areas relevant to academic social science, government, and industry. During the third semester, you also have the option to study abroad at a partner institution.

In the final semester, you integrate the knowledge, skills, and theoretical approaches garnered in the first three semesters by writing a master’s thesis. As part of your thesis you conduct your own, original, computational research addressing a social scientific topic of your choosing.



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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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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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The programme draws on the expertise of our international team in the field of education policy and sociology. We will explore and engage with new methods of policy analysis, such as. Read more
  • The programme draws on the expertise of our international team in the field of education policy and sociology.
  • We will explore and engage with new methods of policy analysis, such as: Network Ethnography and Social Network Analysis (SNA).
  • The modules will have a particular focus on social justice within education.

Summary

This programme will explore the key debates in national and international education policy. You will engage with a critical analysis of the different concepts underlying the evolving landscape of educational policy globally, such as new forms of funding and delivery, privatisation, evaluation and inspection.

Students will examine key education policies in the UK and other countries, with a particular focus on social justice, and consider the possibilities for more socially fair and democratic policy enactments. You will also explore a range of identities including, but not limited to, social class, gender and ‘race’/ethnicity, and how these aspects of identity shape the policy formation and enactment process in the UK and internationally.

This course has a particular focus on social justice within education, and allows participants to reflect on the varied and linked aspects of education in a contemporary domestic, and globalised, world. You will benefit from our relationships with international organisations and contacts such as UNESCO, which open up educational study and employment opportunities.

While providing an introduction to the key theories and concepts in the fields of education policy and social justice, this course will offer students an understanding of the established techniques of research and enquiry, and how these are used to create and interpret knowledge. With these skills, you will be well placed to be able to critically evaluate research and advanced scholarship, in order to understand the basis of educational policy nationally and internationally.

You will develop the confidence and knowledge to become a professional practitioner, researcher or developer in the field of education policy. With the necessary skills and understanding for reflecting on your own and others’ practice, you will be able contribute to improving educational processes and outcomes. As such, the course is well-suited to current teachers and school leaders, professionals working in policy related areas, and national and international recent graduates.

Content

Students will undertake a study of the recent history of Education policy, studying the key parliamentary acts from 1988 to the present time. Students will evaluate these policies in relation to social justice, looking critically at how inclusive or exclusive they have been, and from there consider the possibilities for more socially just policy enactment. Other modules will broaden this understanding, as students investigate global theoretical perspectives on education policy, and the different models and policy schemes in use, and the outcomes and implications of these policy choices in different contexts. Further, students will explore how discourses on teaching vary over time and across national contexts, and analyse the effects of education policies on the teaching profession, including looking at teachers’ contribution to social change.

Students can also explore the way in which policy is enacted and governance undertaken across the world. Particular modules will look at the new actors (philanthropists, social entrepreneurs, edu-businesses, community organisations, etc.) that have served as the driving force for recent political change, and study four conceptual principles underlying the concept of ‘network governance’.

Other modules will focus on developing your critical perspective on the political nature of education as well as offering chances to engage with new methods and tools to perform policy analysis. Especially, you will strengthen your ability to undertake and evaluate research, and you will be able to study a variety of theoretical concepts underlying social and educational research, carrying out a research project of your own.

Modules

Compulsory and Required modules

Compulsory and/or required modules may change when we review and update programmes. Above is a list of modules offered this academic year.

Optional modules

Optional modules, when offered as part of a programme, may vary from year to year and are subject to viability.

Career options

The programme is designed for current teachers and school leaders, professionals working in policy related areas (including, for example, government at different levels, think tanks, foundations and trusts, voluntary and community sector), and national and international recent graduates, looking to develop and broaden their knowledge and a critical perspective on the political nature of education as well as engage with new methods and tools to perform policy analysis.



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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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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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