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University of Manchester: Social Research Methods and Statistics with Computational Social Science
| 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
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
Summary
Data skills are invaluable across the social sciences. Used responsibly, big data can help you to interpret the myriad factors at play in the study of social phenomena.
Mastering computational methods will greatly expand your ability to process, analyse and draw conclusions from data.
Each core module on this programme has been designed to equip you with a strong foundation in both statistical theory and advanced computational techniques, ensuring you graduate with a versatile toolkit for analysing complex social phenomena.
Some of the key skills you’ll learn are:
-
Advanced data analysis
-
Survey design
-
Statistical modelling
-
Agent-based modelling for understanding complex systems.
Upon course completion, you’ll have developed a highly valued skillset, preparing you for doctoral research and enhancing your employability across countless sectors.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, inany 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. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
Summary
Data skills are invaluable across the social sciences. Used responsibly, big data can help you to interpret the myriad factors at play in the study of social phenomena.
Mastering computational methods will greatly expand your ability to process, analyse and draw conclusions from data.
Each core module on this programme has been designed to equip you with a strong foundation in both statistical theory and advanced computational techniques, ensuring you graduate with a versatile toolkit for analysing complex social phenomena.
Some of the key skills you’ll learn are:
-
Advanced data analysis
-
Survey design
-
Statistical modelling
-
Agent-based modelling for understanding complex systems.
Upon course completion, you’ll have developed a highly valued skillset, preparing you for doctoral research and enhancing your employability across countless sectors.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, inany 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. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
Postgraduate Diploma - PgDip
Summary
Data skills are invaluable across the social sciences. Used responsibly, big data can help you to interpret the myriad factors at play in the study of social phenomena.
Mastering computational methods will greatly expand your ability to process, analyse and draw conclusions from data.
Each core module on this programme has been designed to equip you with a strong foundation in both statistical theory and advanced computational techniques, ensuring you graduate with a versatile toolkit for analysing complex social phenomena.
Some of the key skills you’ll learn are:
-
Advanced data analysis
-
Survey design
-
Statistical modelling
-
Agent-based modelling for understanding complex systems.
Upon course completion, you’ll have developed a highly valued skillset, preparing you for doctoral research and enhancing your employability across countless sectors.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, inany 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. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
Summary
Data skills are invaluable across the social sciences. Used responsibly, big data can help you to interpret the myriad factors at play in the study of social phenomena.
Mastering computational methods will greatly expand your ability to process, analyse and draw conclusions from data.
Each core module on this programme has been designed to equip you with a strong foundation in both statistical theory and advanced computational techniques, ensuring you graduate with a versatile toolkit for analysing complex social phenomena.
Some of the key skills you’ll learn are:
-
Advanced data analysis
-
Survey design
-
Statistical modelling
-
Agent-based modelling for understanding complex systems.
Upon course completion, you’ll have developed a highly valued skillset, preparing you for doctoral research and enhancing your employability across countless sectors.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, inany 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. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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