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Faculty of Economics


MPhil in Economics and Data Science Banner


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This master’s degree is intended to equip you with the skills and knowledge necessary to apply advanced data science techniques to economic analysis and decision-making. The degree will give the technical training required to pursue a career in a variety of fields such as consulting, government, academia, and the private sector.

The course will provide a deep understanding of economic theory and principles and applied economic research. You will develop enhanced analytical skills and be exposed to a variety of cutting-edge tools and technologies used in data analysis and modelling, such as machine learning algorithms, data visualisation tools, and cloud computing platforms.


To obtain the degree of MPhil in Economics and Data Science, students need to:


  • Ideally attend the preparatory course in mathematics and statistics. The prep course runs from early-September to early October. Its aim is to review and develop the required technical methods for the compulsory core modules in macroeconomics, microeconomics, and econometrics. The topics covered are: linear algebra; statistics; static optimisation; dynamic optimisation; differential and difference equations. Students are expected to pass a two hour examination at the end of this preparatory course.
Course Requirements
  • Candidates are required to attend and be assessed on seven compulsory modules and two optional modules. Compulsory modules consist of both lectures and classes.
  • Write a dissertation of up to 10,000 words. During the second term, each student is allocated a supervisor for the dissertation. The topic of the dissertation is associated with either a core subject or a specialist subject, and must be formally approved by the Faculty. During the second and third terms the student will meet the supervisor to discuss an outline of the topic, a bibliography, the use of appropriate data and methods of analysis, and a draft of the dissertation. Dissertations are submitted by mid-June.


Assessment of the core modules will be conducted via project reports (2,000-3,000 words) and a case study (1,000 words), and will take place throughout the programme.  Some optional modules will be examined by written two or three hour exams; examinations take place between late April and early June.

Continuation to PhD

Continuation to PhD

The MPhil in Economics and Data Science is designed for students who wish to obtain a one-year (or two-year part-time) master's qualification before leaving academic economics.