MSc Behavioural Economics and Data Science
About
Our MSc Behavioural Economics and Data Science is part of our Applied Training Programme – designed to provide key skills in economics. It is ideal if your undergraduate training was in a subject other than economics, and you now wish to develop analytical skills as an economist. This degree may be particularly useful for those with a maths or science background who wish to make their skills more marketable in the rapidly changing jobs market.
The degree course consists of core Economics and Econometrics modules taught within the School of Economics, and well as specialised modules in programming and behavioural economics. Some of the programming modules are taught in the School of Computing. You will also write a dissertation towards the end of the academic year.
In many ways, Behavioural Economics is an ideal framework in which to carry out big data research. The focus of the MSc is on the methodology for testing predictions of behavioural economics using big data sources. For example: you’ll learn how to create data sets using data scraping techniques, and you will be made aware of the relevant ethical issues; you’ll learn how to process and manipulate data; you will learn how to make economic forecasts using web search data; you will learn how to work with multiple data sources (e.g. how to merge dietary and health data on individuals); you will learn how to test economic theories using online data sources (e.g. testing auction theory using data from online auctions).
The dissertation module gives you the freedom to choose your own topic from within the area of behavioural economics and data science. Throughout your dissertation, you’ll be supported and supervised by a member of the School of Economics.
We offer specialised structural support to help you negotiate your masters course. This includes compulsory, intensive pre-sessional training before the start of teaching on your course modules. This training incorporates the techniques of calculus and matrix algebra and an introduction to the specialist econometric software that you'll use in your MSc programme.
About
Our MSc Behavioural Economics and Data Science is part of our Applied Training Programme – designed to provide key skills in economics. It is ideal if your undergraduate training was in a subject other than economics, and you now wish to develop analytical skills as an economist. This degree may be particularly useful for those with a maths or science background who wish to make their skills more marketable in the rapidly changing jobs market.
The degree course consists of core Economics and Econometrics modules taught within the School of Economics, and well as specialised modules in programming and behavioural economics. Some of the programming modules are taught in the School of Computing. You will also write a dissertation towards the end of the academic year.
In many ways, Behavioural Economics is an ideal framework in which to carry out big data research. The focus of the MSc is on the methodology for testing predictions of behavioural economics using big data sources. For example: you’ll learn how to create data sets using data scraping techniques, and you will be made aware of the relevant ethical issues; you’ll learn how to process and manipulate data; you will learn how to make economic forecasts using web search data; you will learn how to work with multiple data sources (e.g. how to merge dietary and health data on individuals); you will learn how to test economic theories using online data sources (e.g. testing auction theory using data from online auctions).
The dissertation module gives you the freedom to choose your own topic from within the area of behavioural economics and data science. Throughout your dissertation, you’ll be supported and supervised by a member of the School of Economics.
We offer specialised structural support to help you negotiate your masters course. This includes compulsory, intensive pre-sessional training before the start of teaching on your course modules. This training incorporates the techniques of calculus and matrix algebra and an introduction to the specialist econometric software that you'll use in your MSc programme.
