Overview
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.
The Social Research Methods and Statistics with Computational Social Science programme offered by The University of Manchester equips you to harness data science to produce more meaningful social research.
The 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.
Career opportunities
The 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.
Programme Structure
Courses include:
- Data science modelling
- Methodology and Research Design
- Statistical Models for Social Networks
- Topological Data Analysis
- Doing research with social network data and visualizations
- Theory and method in demography
- Longitudinal Data Analysis
- Complex Survey Designs and Analysis
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Manchester, United Kingdom
Disciplines
Sociology Statistics Computer Sciences View 492 other Masters in Computer Sciences in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, in any discipline.
- 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
Tuition Fees
-
International Applies to you
Applies to youNon-residents32600 GBP / year≈ 32600 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15800 GBP / year≈ 15800 GBP / year
Living costs
Manchester
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Social Research Methods and Statistics with Computational Social Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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