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Economics and Data Science MSc

Postgraduate Taught

Course code

P-L1I1

Start date

20 September 2027

Study location

University of Warwick

Qualification

Master of Science (MSc)

Department

Economics

Duration

1 year full-time

Course overview

Meet the demand for data-driven expertise.

The rise of big data has created strong demand for graduates who can combine technical expertise with economic insight. Our intensive MSc gives you advanced skills in complex data science, economics and econometrics. Meet the rigorous standards of top national and international institutions, as well as high-level PhD programmes – all with the expert support of the UK’s number one Economics department, as ranked in the Good University Guide 2026. 

The programme definitely pushes me beyond my comfort zone at times, but those challenges are exactly what help me grow and become a better version of myself. The course is designed in a way that makes you question and stretch your abilities, yet it also gives you moments when you can clearly see your progress and feel proud of how far you’ve come.

Aastha Bhat

MSc Economics and Data Science

Modules

You’ll explore the relationship between data science and economics, public policy and industry through the development of the following:

  • Machine learning skills: applied to macroeconomic and microeconomic theory and econometrics 
  • In-depth understanding: develop expertise in national and international economic problems, policies and decision-making
  • Dissertation: explore your own area of interest with an 8,000-word dissertation
  • Mathematics preparation: pre-sessional Mathematics and Statistics training helps you build key methodological skills
  • Big data expertise: learn to acquire, manage and process large volumes of data
  • Coding skills: Gain quantitative answers by using R and Python

You will be automatically enrolled on a pre-sessional Mathematics and Statistics programme to equip you with the relevant methodological skills you to succeed in this degree.

Note that information found by following the links to the module catalogue is subject to change for future years of study, as we evolve our courses in response to the latest developments in academia and industry.

 

You will choose two optional modules to complete.

Teaching and learning

Expert teaching from leading academics in their field will equip you to take quantitative analysis into your future career or further research. Our teachers use a variety of seminars, lectures, tutorials and workshops to develop economists’ core skills and introduce cutting edge ideas.

  • Analytical training: By the end of the course, you will understand how to apply quantitative economic models to solve a range of public policy, business, financial and regulatory problems. You will be able to apply modern quantitative techniques to a variety of data sets to develop your own research and critically engage with professional and academic economists in your field.
  • Research Skills: understand how to develop a question, frame it against the literature and apply your quantitative skills to data you source from our Bloomberg database.
  • Specialist software: we teach using a range of packages to support quantitative analysis, including R, Stata, and in certain modules Python and Matlab ensuring you will have the skills to make analytical contributions wherever you take your MSc.
  • Professional communication: develop written, presentation and data interpretation skills across a variety of assessments

Entry requirements

Fees and scholarships

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and assessment and some student amenities.

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