Master of Science
MSc Social Research Methods and Statistics with Computational Social Science
Training in advanced quantitative methods at a university at the forefront of social statistics research.
Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach.
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Overview
Course overview
- Study a master’s in Social Research Methods and Statistics with Computational Social Science at a university ranked top 10 in the UK for Social Sciences (Times Higher Education University Rankings 2025).
- Benefit from thorough training in advanced quantitative methods, including the use of applied statistics and the analysis of complex data.
- Learn how to use software such as R, Stata, SPSS, or Excel in a supportive learning environment.
- 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).
- Graduate with a competitive skillset from one of the UK’s most targeted universities by top employers (High Fliers, The Graduate Market Report 2024).
Open days
The University holds regular open days, where you will have the opportunity to find out more about our facilities and courses.
On this day, you will find out more about the School, our resources, and meet academic and admissions staff who will be able to answer any questions you have.
For more information, see open days and visits.
Contact details
- School/Faculty
- School of Social Sciences
- Contact name
- School of Social Sciences Admissions Office
- Telephone
- +44 (0) 161 306 5500
- pg-soss@manchester.ac.uk
- Website
- https://www.socialsciences.manchester.ac.uk/social-statistics/
- School/Faculty overview
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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
We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, in any discipline.
When assessing your academic record we consider your degree subject, grades you have achieved and the standing of the institution where you studied your qualification.
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 will 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.
Other international entry requirements
We accept a range of qualifications from across the globe. To help international students, the university provides specific information for many individual countries. Please see our country-specific information page for guidance on the academic and English language qualifications which may be accepted from your country.
Fees and funding
Fees
For entry in the academic year beginning September 2026, the tuition fees are as follows:
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MSc (full-time)
UK students (per annum): £15,800
International, including EU, students (per annum): £32,600
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 funding, please see fees and funding or search the University's postgraduate funding database .
Application and selection
How to apply
Staged admissions
As there is a high demand for our courses we operate a staged admissions process with selection deadlines throughout the year. Due to the competition for places and high quality of applications that we receive, we give preference to students from high-ranking institutions and with grades above our minimum entry requirements.
Please ensure you submit all supporting documentation with your application to avoid a delay in processing.
Applications for 2026 entry:
Stage 1:Application received by7th December 2025; Application update by20th February 2026
Stage 2:Application received by1st March 2026; Application update by1st May 2026
Stage 3:Application received by3rd May 2026; Application update by19th June 2026
Stage 4:Application received by5th July 2026; Application update by31st July 2026
Whilst we aim to give you a decision on your application by the deadline date, in some instances due to the competition for places and the volume of applications received, it may be necessary to roll your application forward to the next deadline date.
Applications received after our final selection deadline will be considered at our discretion if places are still available.
Please note:All places are subject to availability and if you apply at one of the later stages, some courses may already be reaching capacity or be closed to further applications. We, therefore, recommend that you apply early in the cycle to avoid disappointment.
Tuition fee deposits
If you are successful in receiving an offer, you will be required to pay a tuition fee deposit of £2,500 by the deadline stated in your offer letter to confirm your place. We ask for the deposit as competition for places is high and there is limited availability. The deposit amount is then deducted from your tuition fees when you register on the course.
Course details
Course description
In a world full of data, making sense of complex social behaviours demands more than a large amount of information. Skills like critical thinking, advanced methods, and computational tools are essential for comprehension. MSc Social Research Methods and Statistics with Computational Social Science equips you to harness data science to produce more meaningful social research.
Our MSc in Social Research Methods and Statistics with Computational Social Science goes one step further than traditional social science methods when exploring big questions. By combining insights from the social sciences with data science, you’ll gain an interdisciplinary approach to investigating human behaviour, social systems, and complex social processes.
Our MSc Social Research Methods and Statistics with Computational Social Science pathway provides comprehensive training in the practical application of quantitative methods and software. We’ll teach you to use statistical analysis software such as R, SPSS and Stata to ask and answer crucial questions, like:
- How do social network structures bridge economic inequality across urban communities?
- What social and economic factors predict changes in population growth or migration over time?
- To what extent can machine learning methods predict societal tolerance toward diversity based on large-scale survey data?
Social statistics and quantitative data analysis are key tools for understanding society and how government policies affect different groups of people.
Via mandatory course units, you’ll learn key skills such as statistical analysis and modelling, research design, social network analysis, and more. We focus on a range of important subject areas including social inequalities, modelling strategies and advanced analysis methods. You can deepen your own research interests with a choice of elective units.
Our innovative programme is taught by expert academics, both with practical experience of the research fields and a real passion for enhancing your learning experience.
Aims
This course will provide you with:
- The ability to understand key aspects of statistical theory, modelling and Computational Social Science including Machine Learning, Social Networks and Agent Based Modelling.
- Skills in the preparation and analysis of complex, big data sets for research in Social Sciences and Computational Social Science.
- Skills needed to present research effectively, using visualisations and statistical tables and technologies such as markdown.
- Skills in planning, conducting and writing up an independent piece of research.
- Skills in the delivery of research outputs using free software and version control, following the principles of reproducibility and open research.
Special features
An interdisciplinary research environment
This course is linked with our Cathie Marsh Institute for Social Research , a centre of excellence for applying quantitative research to contemporary social science questions.
A prestigious department
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).
You will explore the application of quantitative methods to a range of subject areas, such as sociology, public health, geographic difference and statistics.
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
Course units are assessed by 1,500-2,500-word essays, online tests, exams, or group projects.
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. 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.
Mandatory units include:
- Introduction to Qualitative Research Methods;
- Introduction to Statistical Modelling;
- Complex Survey Designs and Analysis;
- Statistical Foundations;
- Data Science Modelling;
- Social Networks Analysis;
- Methodology and Research Design.
The remaining 60 credits are awarded through a compulsory research component in the form of a 9,000-word dissertation. Your dissertation must be within the Social Statistic research field and use methodologies from at least one of the course units you have taken.
Your dissertation research is supported by bi-weekly workshops designed to improve your academic 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 15 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 |
---|---|---|---|
SOCY60231 | 15 | Mandatory | |
SOST65000 | 60 | Mandatory | |
SOST70011 | 15 | Mandatory | |
SOST70062 | 15 | Mandatory | |
SOST70151 | 15 | Mandatory | |
SOST70520 | 15 | Mandatory | |
SOST71032 | 15 | Mandatory | |
DATA70302 | 15 | Optional | |
SOCY60292 | 15 | Optional | |
SOST70012 | 15 | Optional | |
Displaying 10 of 15 course units | |||
Display all course units |
What our students say
Discover why our students chose our MSc in Social Research Methods and Statistics with Computational Social Science 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 Research Methods and Statistics with Computational Social Science course gives you the specialist skills required for a range of careers, such as in:
- policy;
- consultancy;
- local or national governments;
- commercial consultancy;
- academia.
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:
- the Civil Service;
- market or social research;
- data science and artificial intelligence;
- intelligence analysis;
- academia and teaching.
Another popular option is to continue specialising for a career in research and universities through a PhD in Social Statistics or a similar subject.
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.