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Social Research Methods and Statistics with Computational Social Science at University of Manchester - UCAS

University of Manchester

Degree level: Postgraduate

Social Research Methods and Statistics with Computational Social Science (Taught)

Course 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.


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.


English language requirements

TestGradeAdditional details
IELTS (Academic)7IELTS Academic test score of 7 overall, including 7 in writing with no further component score below 6.5.
TOEFL (iBT)100TOEFL IBT 100 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 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.


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 Research Methods and Statistics with Computational Social Science at University of Manchester - UCAS