Lecturer in Economics
Department of Economics
MSc Data Science (launching soon)
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Key information
Key information
- Duration
- 1 year
- Start of programme
- September
- Location
- On campus
- Fees
-
Home: £12,965
International: £25,320 - Course code
- PGTF0365
- Entry requirements
-
We will consider all applications with 2:2 (or international equivalent) or higher in any discipline that does not incorporate a strong data science component. In addition to degree classification, we take into account other elements of the application such as your supporting statement. References are optional but can help build a stronger application if you fall below the 2:2 requirement or have non-traditional qualifications.
Course overview
The MSc Data Science is designed for students seeking to develop the expertise required to analyse economic, political, social and developmental processes using data science approaches.
Drawing on SOAS’s world-leading research, the curriculum is shaped by a Global South perspective, emphasising context-sensitive data practices grounded in diverse epistemologies, ethical approaches and developmental priorities.
Through hands-on training with real-world datasets and applications, students develop skills that allow them to apply machine learning and other data science methods and to critically evaluate the role of data science approaches in analysing and addressing socio-economic challenges and shaping power relations.
Why study MSc Data Science at SOAS?
- We are ranked top 30 in the UK for Economics (QS World University Rankings 2025)
- You will have access to the Centre for Sustainable Finance, the Centre for Sustainable Structural Transformation and the Centre for AI Futures
- You will obtain transferable analytical skills that are essential for careers in businesses, financial institutions, international organisations, government agencies and non-government organisations, in particular in positions that require coding skills and a critical understanding of the use and implications of data science techniques.
Global partnerships
Programme participants are eligible to apply for a co-supervised dissertation, collaborating with members of the Economics department and leading experts from international organisations. Such organisations include the World Bank, the International Trade Centre (ITC), the United Nations Industrial Development Organisation (UNIDO), the United Nations Conference on Trade and Development (UNCTAD) and the International Labour Organisation (ILO).
Structure
The MSc programme includes a supervised Research Project (60 credits), six compulsory taught modules (15 credits each), and two guided optional modules (15 credits each) selected from a pool of available modules. The modules are delivered through lectures, seminars and workshops.
Teaching and learning
Full or part-time study
The MSc programme is taught over a period of 12 months of full-time study, or 2/3 years of part-time study. For 2-year study, you will study four modules each year, normally completing a dissertation in the second year, while for 3-year study the number of modules you take is decided in consultation with the programme convenor.
Lectures
Most modules involve a 50-minute lecture as a key component.
Seminars/workshops
In seminars and workshops, students actively engage in hands-on exercises, explore case studies, and contribute to structured group discussions that deepen their understanding of the material and encourage critical reflection.
Research Project
A significant part of the work for the degree is devoted to the completion of a 10,000-word Research Project that can focus on theoretical or applied issues.
SOAS Library
SOAS Library is one of the world's most important academic libraries for the study of Africa, Asia and the Middle East, attracting scholars from all over the world. The Library houses over 1.2 million volumes, together with significant archival holdings, special collections and a growing network of electronic resources.
Employment
The MSc Data Science is ideal for students who wish to obtain coding skills, apply data science techniques and develop a social science expertise on critically analysing the role of data in contemporary societies and economies. The programme provides a gateway to job opportunities in private companies, the government sector and international organisations. The advanced nature of the programme also serves as an excellent foundation for PhD studies.
