Economics and Data Analytics

Economics and data analytics is a combination that reflects how the discipline of economics has evolved in the age of large datasets and powerful computational tools. Modern economic research and professional practice increasingly rely on the ability to work with data: to clean and structure it, to apply statistical and machine learning methods, to visualise findings, and to draw conclusions that are both economically meaningful and technically sound. This three-year full-time programme at the University of Manchester trains you in both the theory of economics and the practical skills of data analysis.

You will study microeconomics and macroeconomics at a rigorous level, developing a thorough understanding of how markets work, how agents make decisions, and how economies are organised and governed. Alongside this, you will build substantial skills in quantitative methods: econometrics, statistical programming, machine learning, and data visualisation. Python and R are likely to feature prominently in the computational curriculum, and you will apply these tools to real economic questions, including labour market dynamics, financial markets, consumer behaviour, and public policy evaluation.

Manchester's large and research-active economics department provides an intellectually serious environment for this kind of study.

Graduates from this programme are in strong demand in a wide range of sectors. Careers include economic analysis, financial services, data science, government economic work, consulting, and policy research. Many graduates work for banks, asset managers, consultancies, technology companies, and government departments.

The combination of economic thinking and data skills is particularly valuable in roles that require both interpretation and implementation. Postgraduate options include master's degrees in economics, econometrics, data science, and related fields, and many graduates from strong programmes like this go on to doctoral research.