This MSc is built for students who want to combine rigorous economic analysis with cutting-edge data science. You’ll learn to apply economic theory using programming, machine learning, and data visualisation — ideal for careers in policy, finance, tech, or research.
Curriculum Structure
Autumn Term (Core Foundations):
You’ll begin with a strong foundation in economic theory and quantitative methods. Modules include Analytical Methods in Economics, Microeconomic Analysis, Econometric Methods 1, and Programming. These build your ability to model economic problems, interpret data, and write code to solve real-world challenges.
Spring Term (Advanced Applications):
This term focuses on macroeconomic policy and advanced data science techniques. You’ll study Econometric Methods 2, Macroeconomic Analysis, Data Processing, Coding and Visualisation, and Machine Learning. These modules prepare you to analyse large datasets, build predictive models, and communicate insights effectively.
Summer Term (Dissertation):
You’ll complete a dissertation in economics, applying your skills to a complex problem with real-world implications. You’ll also have the opportunity to work on paid projects with UK employers, gaining experience in teamwork, client communication, and project delivery.
Focus areas
Microeconomics, macroeconomics, econometrics, machine learning, programming, data visualisation, policy analysis.
Learning outcomes
Model economic behaviour, analyse large datasets, apply machine learning, communicate insights, evaluate policy, and solve real-world problems.
Professional alignment (accreditation)
Offered by the EQUIS and AMBA-accredited University of Sussex Business School — placing it among the world’s leading business education providers.
Reputation (employability rankings)
This program is built to give you hands-on experience with the tools and techniques used by economists and data scientists in the real world. You’ll work with live datasets, develop coding and machine learning skills, and apply your knowledge through collaborative projects and employer-linked opportunities. The curriculum is designed to mirror professional practice, preparing you for roles in policy, finance, tech, and research.
Here’s how experiential learning is built into the program:
Graduates from this program are equipped with a rare combination of economic insight and technical data science skills — making them highly competitive across sectors. Many go on to work as data analysts, economic consultants, policy advisors, or machine learning specialists in government, finance, tech, and international organisations. The program’s blend of theory and applied coding opens doors to both analytical and strategic roles.
Here’s how Sussex supports your next steps:
Further Academic Progression:
This MSc provides a strong foundation for doctoral study in economics, data science, or interdisciplinary research. You’ll be well-prepared to pursue a PhD at Sussex or other leading institutions, especially if you choose a dissertation topic aligned with emerging data-driven policy or economic modelling.



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