Social Research Methods and Statistics with Computational Social Science MSc

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.<br/><br/>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.<br/><br/>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:<br/><br/><br/>• How do social network structures bridge economic inequality across urban communities?<br/><br/><br/><br/>• What social and economic factors predict changes in population growth or migration over time?<br/><br/><br/><br/>• To what extent can machine learning methods predict societal tolerance toward diversity based on large-scale survey data?<br/><br/><br/><br/>Social statistics and quantitative data analysis are key tools for understanding society and how government policies affect different groups of people.<br/><br/>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.<br/><br/>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.