This course offers training in the foundations of psychology, decision-making, behavioural economics and behaviour change. It will also develop your understanding of state-of-the-art methods in data science and data analytics, focusing on statistical methods, machine learning, and data visualisation.
You will gain an understanding of large-scale patterns in data, with an eye to comprehending the underlying factors driving human behaviour. This can be used to understand consumer behaviour, economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels. Previous experience in behavioural science is not necessary, but you should have programming skills in at least one programming language (e.g., R, Python, or others).
Applicants are required, at a minimum, to have a degree in a relevant subject, e.g. Psychology, Computer Science, Mathematics, Economics, etc., equivalent to a UK 2:1 or greater in order to be considered. As we anticipate receiving a large number of applications, preference will be given to those with the strongest quantitative or social sciences backgrounds.
Evidence of experience with programming in Python or R is also preferred—at a minimum, students should have online or university instruction in programming in at least one programming language. The MSc in Behavioural and Data Science is a quantitative degree and students should feel comfortable taking a mathematical approach to their thinking before they join the course. The course requires students to undertake programming assignments and long-form essay assignments and so requires students to be comfortable in programming and to have very good written communication skills in English.
On the MSc, we cover the use of statistics and computational approaches to make sense of behavioural data (e.g., regression, t-tests, machine learning). We cover programming languages for statistics and mathematical modelling. We also use maths in psychological and computer science models.
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