The MSc Geographic Data Science programme is aimed at those who wish to develop their skills in the analysis of quantitative data to answer research questions on spatial and geographic social science topics. The programme will suit you if you're interested in research for academic or policy purposes, have a background in economics or other quantitative social science and are interested in developing your technical skills in analysis of spatial data.
The programme combines courses in the Department of Geography and Environment, with options in data science and programming from the Department of Statistics and Department of Methodology.
Skills in obtaining, managing, visualising and analysing data (data science) are in high demand and the programme combines a training in the application of these methods and the use of geographical information systems (GIS), with the chance to study topics in urban economics, economic geography, environmental economics or planning. The culmination of the programme is a dissertation in which you investigate your own research topic using the data science and GIS methods you have studied on the course.
Data science topics covered include programming (in R, Python and Stata), machine learning, visualisation, spatial quantitative analysis and econometrics (depending on your interests and previous experience). There is an emphasis on the use of these methods to understand causes, inform policy and address critical, policy-relevant questions in human geography, economic geography, planning, environment and development.
This programme will:
Discover more about our students and department.
Our department is highly regarded both nationally and internationally – ranked second for Geography in the QS World University Rankings by Subject 2026 .
Here at LSE, we offer a unique opportunity to study geography in a university with a worldwide reputation in the social sciences. We specialise in economic, urban and development geography, environmental social science and climate change, all with a strong emphasis on real-world applications.
Many of our academics are internationally renowned in their fields. You’ll find a good balance of experienced and younger academics in the department. Within the team, we’ve had three holders of the highly prestigious Philip Leverhulme Prize Fellowships for researchers under the age of 36.
Our research is interdisciplinary and international in its scope and we work closely with academics from several other departments at LSE. Teaching staff are active within the following research centres:
Upper second class honours degree (2:1) or equivalent with background in economics or another quantitative social science, and good analytical, quantitative and technical skills.
Please select your country from the dropdown list below to find out the entry requirements that apply to you.
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The English language requirement for this programme is Standard . Read more about our English language requirements .
Competition for places at LSE is strong. So, even if you meet the minimum entry requirements, this doesn't guarantee you an offer of a place.
However, please don’t feel deterred from applying – we want to hear from all suitably qualified students. Think carefully about how you can put together the strongest possible application to help you stand out.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 139 位 | 利物浦大学University of Liverpool | 1年 | 31000英镑/年 |