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University of Manchester: Social Network Analysis
| Institution | University of Manchester |
|---|---|
| Department | School of Social Sciences |
| Web | https://www.manchester.ac.uk |
| pg-soss@manchester.ac.uk | |
| Telephone | +44 (0) 161 306 5500 |
| Study type | Taught |
MSc
Summary
Human life runs on networks - of people, ideas, resources, and influence. From the intimacy of friendships and families to communication between global organisations and systems, our MSc in Social Network Analysis will give you the tools to understand social networks. You’ll uncover how social networks form, how they function, and why they matter.
Social network analysis can be applied to all sorts of groups. So, whether you’re interested in analysing criminal gangs, online communities or scientific networks, you’ll have scope to apply your skills to a subject that interests you.
As leading experts in the field, we offer unique and comprehensive training in social network analysis. Across your studies, we’ll equip you with the tools to track, quantify and understand social networks, including:
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theoretical foundations;
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skills to design a research project;
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data collection techniques;
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methods for the analysis and visualisation of network data;
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statistical modelling of networks.
You can also explore other relevant and interesting social science topics, with optional course units available covering topics such as protest and political mobilisation, gender and sexuality and postcolonial theory. As one of the largest sociological departments in the UK, there’s no shortage of topics you could cover.
Throughout your studies you’ll benefit from personalised support, allowing you to develop transferable skills in research, critical enquiry and creative thinking. You’ll graduate with the skills and experience you need for a successful career in a variety of sectors.
This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A bachelor degree with honours (minimum 2:1 or international equivalent) in social sciences, mathematics, physics, computer sciences, or the overseas equivalent. The entry requirements are intentionally kept open as SNA is an interdisciplinary approach that attracts scholars from both humanities and natural sciences. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
Summary
The programme aims to offer a unique comprehensive training in social network analysis (SNA) covering theoretical foundations, research design, data collection techniques, methods for the analysis and visualization of network data, and statistical modelling of networks. At the end of the programme the students will be able to:
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Design research projects using SNA in a variety of applicative areas.
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Critically engage with the theoretical foundations of SNA and use them to formulate robust and coherent SNA empirical questions.
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Collect social network data in online and offline contexts, selecting the right data collection tools and assessing the validity and reliability of the data collection.
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Apply a wide range of analytical techniques to social network data.
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Statistically model the mechanisms for social network formation and evolution.
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Develop network studies and intervention that can be used in private and public sectors.
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Write social network analysis academic reports
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A bachelor degree with honours (minimum 2:1 or international equivalent) in social sciences, mathematics, physics, computer sciences, or the overseas equivalent. The entry requirements are intentionally kept open as SNA is an interdisciplinary approach that attracts scholars from both humanities and natural sciences. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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