MSc Economics and Data Science

University of East Anglia UEA

How can data scraped from property websites help reveal what truly drives house prices? How do banks use borrower data to build powerful credit scoring models? Can data science help prevent the next major cyber-attack? These are just a few of the real-world challenges you’ll be equipped to tackle on our MSc in Economics with Data Science. This course is part of our Academic and Professional Programme – designed for those who have already studied economics and are looking for intensive research-led training in advanced economic theory, econometrics, and data science. Our dynamic teaching approach blends lectures, workshops, student presentations, group activities, IT lab sessions, and guest lectures from industry and academic experts. You'll benefit from a truly research-led experience, as many of our faculty are actively working at the cutting edge of data science in economics. From day one, you’ll be set up for success with our intensive pre-sessional training, ensuring you’re confident in core areas like calculus, matrix algebra, and STATA—an essential tool in today’s econometrics landscape. Throughout the year, you’ll also receive extensive hands-on training in Python and other essential data science tools, along with guidance on using online data sources to enhance your dissertation and other research. You’ll dive deep into core areas such as microeconomic and macroeconomic theory, as well as advanced econometrics—both theoretical and applied. But this course isn’t one-size-fits-all. You’ll also have the freedom to shape your learning around your interests and career goals, selecting from a wide range of interesting optional modules aligned with the research strengths of the School of Economics: Finance, Environmental Economics and Data Science. Your dissertation is the capstone of the MSc—an opportunity to apply your skills to a research topic of your choice, with expert guidance. You may also collaborate with external organisations, gaining valuable work-based learning experience and even exploring a potential pathway to PhD study.