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MSc Economics and Data Science

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Masters Degree Description

This highly quantitative one-year MSc course equips you with the skills to analyse and interpret complex economic phenomena in today’s data-driven, dynamic global economy. The availability of big data and the use of algorithms in decision-making, whether in the private or public sector, has made it essential to have the ability to parse through large datasets, provide data-driven solutions and critically analyse their results.

The programme offers intensive training in state-of-the-art data science methods as well as economics and econometrics. This unique combination provides students with the tools to navigate the data economy through hands-on experience with analytical tools, machine learning techniques, and computational methods. You will gain expertise in critical analysis, data-driven problem-solving, and tackling technical challenges.

The MSc offers a combination of strong core studies, specialist options and the opportunity to conduct academic research under the guidance of world-leading experts. Warwick's Department of Economics, ranked 1st in the UK (The Good University Guide 2025) and 23rd in the World (The QS World University Subject Rankings 2024), provides professional training in modern economics.

Entry Requirements

2:1 undergraduate degree (or equivalent) specialising mainly in economics. This means you should have achieved a good standard in undergraduate courses in microeconomics and macroeconomics, with a First (or equivalent) in econometrics/economic statistics, at an intermediate level. 

We also expect a good standard achieved in mathematics taken at undergraduate level.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries.

Student Destinations

Employers that have hired our Economics graduates in the past have indicated that they are particularly interested in students with knowledge and skills in data science in addition to economics.

Graduates from our Master’s courses have gone on to work for employers including:

  • Bank of America
  • Bank of China
  • China Merchants Bank
  • Citibank
  • Deloitte
  • EY
  • European Central Bank
  • Frontier Economics
  • HM Treasury
  • HSBC
  • IMF
  • KPMG
  • World Trade Organisation

Module Details

Core modules

The following basic structure applies to MSc Economics and Data Science:

  • Economics Analysis A or Economics Analysis B 
  • Quantitative Methods: Econometrics B
  • Foundations of Data Science 
  • Machine Learning and Big Data in Economics
  • Dissertation

Optional modules

Optional modules can vary from year to year. Example optional modules may include:

  • Computational Behavioural and Social Science
  • Game Theory
  • Investment and the Financial System
  • Behavioural Economics 
  • Topics in Data Science
  • Computational and Behavioural Social Science (Psychology Department)
  • Natural Language Processing (Department of Computer Science)

You will choose two optional modules to complete.

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