Economics and Data Science (Taught)

The global demand for economics graduates with advanced data science skills continues to grow rapidly in the modern economy. Public and private sector organisations are increasingly relying on data science to offer new insights on issues in economics, econometrics, and finance. At the same time, governments and central banks use data science techniques to inform the formulation and evaluation of economic policy.

Our MSc Economics and Data Science offers comprehensive training in the use of data science methods to analyse economic issues. You will cover economic and data science theory, methods and techniques, and applications to real-world problems.

The course combines rigorous training in key principles with some flexibility to tailor your studies to specific areas of interest in economics. Your core training will cover:

• Economic theory;

• Econometric methods;

• Data science and machine learning;

• Programming and other data science skills.

Areas of specialisation through optional course units include:

• Financial econometrics;

• Healthcare economics;

• Economics of environmental policy.

With hands-on training and a focus on practical application, this course is designed to prepare you for a successful career in a variety of roles, for example as an economist, data analyst, researcher, or consultant, in leading organisations across government, banking / finance, or the private sector.

This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.