Economics and Data Science (MSc)

Our MSc in Economics is particularly well-suited for students in Economics who wish to specialise or gain additional skills in Data Science and Machine Learning and how such skills may be applied within Economics, Public Policy, Industry and related sectors. The course links economic theory and empirical economics with the fast-developing field of Data Science. You will acquire knowledge and skills in statistical (machine) learning, and use these in your study of applications in macroeconomic and microeconomic theory, econometrics and big data.  An 8,000-word dissertation provides an opportunity to explore your own interests across these fields of study.

You will be automatically enrolled on a pre-sessional Mathematics and Statistics programme to equip you with the relevant methodological skills you need to succeed.

By the end of the course, you will be experienced in working with large amounts of data to generate new findings and insights relevant to problems in economics. You will also be proficient in standard coding languages, like R and Python, to work on those problems.

Skills from this degree

• Rigorous advanced training in economic analysis and techniques, which includes opportunities to contribute to current economic research and debates
• Data science techniques and methods pertaining to applications in Economics
• Training in the acquisition, management and processing of large volumes of data with applications in Economics
• Analytical approach to thinking about national and international economic problems, policies and decision-making
• Research skills; use of library and internet as information sources; locating, extracting, analysing, and presenting material
• Numeracy and quantitative skills; use of mathematics and diagrams, understanding data, statistical analysis
• IT skills; coding; word processing and spreadsheets; specialist econometric or statistical software; internet applications
• Written and oral communication skills