Master of Science
MSc Social Network Analysis
Enhance your knowledge of social network analysis and help to meet increasing national and international demand for skills in this area.
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Overview
Course overview
- Study a master’s in Social Network Analysis at a university ranked top 5 in the UK and top 20 worldwide (QS World University Rankings 2025).
- Specialise your skills and be a step ahead of the rest with the world’s first and only master’s course dedicated to social network analysis world-wide.
- Pioneer your own research at a department ranked first in the UK for the percentage of our research outputs being ‘world-leading’, as recognised by the latest Research Excellence Framework (2021).
- Gain a well-rounded perspective and benefit from an interdisciplinary combination of lecturers from the Mitchell Centre for Social Network Analysis, who specialise in mathematics, social statistics, sociology and criminology.
- Graduate from one of the UK’s most targeted universities by top employers (High Fliers, The Graduate Market Report 2024).
- Seamlessly transition from master's to PhD study through a fully-funded 1+3 pathway with our prestigious ESRC North West Social Sciences Doctoral Training Partnership (NWSSDTP).
Open days
The University holds regular open days, where you will have the opportunity to find out more about our facilities and courses.
See open days for more information.
Contact details
- School/Faculty
- School of Social Sciences
- Contact name
- School of Social Sciences
- Telephone
- +44 (0) 161 306 5500
- School/Faculty overview
-
See: School Subjects
Courses in related subject areas
Use the links below to view lists of courses in related subject areas.
Entry requirements
Academic entry qualification overview
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
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
Pre-Sessional English Courses
We will consider applicants who do not meet these scores but you may be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course.
To be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores:
6 Week Pre-Sessional Course : IELTS 6.5 overall with 6.5 in writing and no more than one sub-skill of 6.0.
10 Week Pre-sessional Course : IELTS 6.0 overall with 6.0 or above in each sub-skill
If you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate to ensure that you are eligible for a separate visa for the English language course.
English language test validity
Some English Language test results are only valid for two years. Your English Language test report must be valid on the start date of the course.
Applicants from Majority English-speaking countries
If you are a national of a majority English-speaking country (or have studied for a full bachelor's degree or higher from one of these countries) you may be exempt from submitting further evidence of English language proficiency.
Fees and funding
Fees
For entry in the academic year beginning September 2026, the tuition fees are as follows:
-
MSc (full-time)
UK students (per annum): £14,200
International, including EU, students (per annum): £26,300 -
MSc (part-time)
UK students (per annum): £7,100
International, including EU, students (per annum): £13,400
Further information for EU students can be found on our dedicated EU page.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
For information on available scholarships please visit: Master’s Fees and Funding
Application and selection
How to apply
Advice to applicants
Students who fail to fulfil the requirements to pass the 180 credits necessary to attain the final degree of MSc can leave the course with the award of PGDip by passing 120 credits at the pass mark of 40%, or can qualify for the PGCert by passing 60 credits at the pass mark of 40%.
Students who do not fulfil the criteria for passing the taught element of the course at the master's level of 50% will not be permitted to progress to the dissertation element of the course, and will leave the course with the highest award that the credits that have been passed will allow.
University Regulations regarding re-sit, referral and compensation will apply within this course.
Course details
Course description
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. Find out more on our 1+3 ESRC NWSSDTP webpage.
Aims
This course aims to:
- Meet the increasing national and international demand of social network analysis in academic social research as well as commercial environment including market research, crime analysis and public health.
- Contribute to the national and international need for theoretically informed and methodologically skilled researchers in social network analysis.
- Train you in the necessary skills to understand and contribute to future developments in social network research.
- Provide advanced, systematic and critical knowledge of theoretical and methodological aspects of social network analysis in a vibrant and internationally leading research environment.
- Offer a unique set of skills in data visualisation and modelling techniques that are highly valuable in commercial and public sectors, with understanding of the implications for markets and policy.
- Prepare you for a PhD-level research career in academic life or as a professional in government, public and private sectors.
Special features
Thriving postgraduate community
With 30 academic staff and 60 postgraduates, you'll become a valued member of department that prioritises small-group teaching and community-building.
A prestigious department
Manchester is one of the world’s best institutions for the study and practice of sociology. We’re ranked as one of the top 10 universities in the world for delivering against the UN’s Sustainable Development Goals, making a positive impact across culture and creativity, economic development and inequalities, health and wellbeing, innovation and commercialisation, and sustainability and climate change. (Times Higher Education Impact Rankings 2025).
An interdisciplinary approach
Our Mitchell Centre for Social Network Analysis brings together researchers across different disciplines to further important dialogues on social network analysis. As a student, you can get involved with our regular host seminar series and networking events.
Teaching and learning
This course is taught by an interdisciplinary team using a variety of delivery methods:
- lectures;
- workshops;
- student-led presentations and debate;
- group work;
- individual research.
Coursework and assessment
Most course units are assessed by 3,000-4,000-word essays, or by essay and presentation.
Part-time students
Part-time students complete the full-time course over two years. There are no evening or weekend course units available on the part-time course.
Course unit details
A master’s degree is formed of 180 credits.
120 of these credits are made up by a mix of mandatory and optional course units, worth 15 credits each. You will need to select between four and eight of these course units, with 60 credits taken each semester. The availability of individual optional course units may be subject to change. Information that is sent to you in August about registration onto the course will clearly state the course units that are available in the academic year ahead.
Core units include:
- Data Analysis with R and RStudio;
- Doing Research with Social Network Data and Visualisations;
- Social Network Analysis: Concepts and Measures;
- Theories of Social Relations, Networks, and Social Structure;
- Sociology Study Skills Support;
- Statistical Models for Social Networks.
The remaining 60 credits are awarded through a compulsory research component in the form of a 11,000-to-12,000-word dissertation. Your dissertation must be within the area of one of the course units you have chosen.
Your dissertation research is supported by weekly research methodology lectures designed to improve your academic and legal research and writing skills.
Part-time students
Part-time students take four out of the five compulsory course units in the first year, and then take the other one in year two. The remaining 60 credits of optional course units are selected and taken accordingly over the two years.
Other exit awards
Students who do not fulfil the criteria for passing the taught element of the course at the masters' level of 50% will not be permitted to progress to the dissertation element of the course and will leave the course with the highest award that the credits that have been passed will allow.
Course unit list
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
| Title | Code | Credit rating | Mandatory/optional |
|---|---|---|---|
| CRIM70821 | 15 | Mandatory | |
| SOCY60000 | 60 | Mandatory | |
| SOCY60292 | 15 | Mandatory | |
| SOCY60361 | 15 | Mandatory | |
| SOCY60631 | 15 | Mandatory | |
| SOST71032 | 15 | Mandatory | |
| CRIM71502 | 15 | Optional | |
| DATA70302 | 15 | Optional | |
| DATA70402 | 15 | Optional | |
| SOCS60230 | 15 | Optional | |
| Displaying 10 of 30 course units | |||
| Display all course units | |||
What our students say
Discover why our students chose our MSc in Social Network Analysis and what they loved about their time at Manchester – take a look at our student spotlights .
Disability support
Careers
Career opportunities
The University of Manchester is one of the most targeted universities by the UK’s top graduate employers (High Fliers, The Graduate Market Report 2024).
Our MSc Social Network Analysis course gives you the specialist skills required for a range of careers, such as in:
- academia;
- government departments;
- research institutes;
- commercial research.
You’ll also acquire vital skills relevant to many different sectors and roles, such as research design, effective communication and teamwork. Our highly skilled graduates go on to succeed in areas such as:
- consultancy;
- data analysis;
- data scientists with specialised skills in network analysis in areas like social media analytics;
- academia and teaching.
Another popular option is to continue specialising for a career in research and universities through a PhD at Manchester or another leading institution. This programme is eligible for NWSSDTP funding for pathways toward PhD programmes. Details can be found at Sociology | North West Social Science Doctoral Training Partnership .
The University has its own dedicated, award-winning Careers Service where you can benefit from tailored careers support, practice interviews, CV and application support, job listings for Manchester students, and much more. Better yet, you’ll have access to our Careers Service both during your course and for two years after you graduate, so we know you’re on the right path.
Regulated by the Office for Students
The University of Manchester is regulated by the Office for Students (OfS). The OfS aims to help students succeed in Higher Education by ensuring they receive excellent information and guidance, get high quality education that prepares them for the future and by protecting their interests. More information can be found at the OfS website.
You can find regulations and policies relating to student life at The University of Manchester, including our Degree Regulations and Complaints Procedure, on our regulations website.
