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Social Network Analysis at University of Manchester - UCAS

Course 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:

  • theoretical foundations;
  • skills to design a research project;
  • data collection techniques;
  • methods for the analysis and visualisation of network data;
  • 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.


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.


English language requirements

TestGradeAdditional details
IELTS (Academic)77 overall, including 7 in writing with no further component score below 6.5.
TOEFL (iBT)100100 with 25 in writing and no further score below 22 in each section. TOEFL code for Manchester is 0757.

Applicants whose first language is not English should meet the following language requirements: IELTS Academic test score of 7 overall, including 7 in writing with no further component score below 6.5, TOEFL IBT 100 with 25 in writing and no further score below 22 in each section TOEFL code for Manchester is 0757, Pearson Test of English (PTE) score of 76 overall, with 76 in writing and no further score below 70.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Social Network Analysis at University of Manchester - UCAS