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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:
Train you in the use of data science methods appropriate for working with geographic data, with an emphasis on answering causal research questions
provide you with the opportunity to study Masters level courses in economic geography, environmental economics or planning
provide you with an opportunity to apply data science skills through an extended dissertation on a geographical topic
develop a set of transferable skills in independent thought, writing, data analysis, independent research, presentation and debate that are pre-requisites for future careers.
We offer needs-based awards for our master’s programmes, including the Graduate Support Scheme and LSE Excellence Scholarship. Please check the specific details, requirements and restrictions on scholarship availability on our website.
Programme overview
Main Subject
Geography
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
Train you in the use of data science methods appropriate for working with geographic data, with an emphasis on answering causal research questions
provide you with the opportunity to study Masters level courses in economic geography, environmental economics or planning
provide you with an opportunity to apply data science skills through an extended dissertation on a geographical topic
develop a set of transferable skills in independent thought, writing, data analysis, independent research, presentation and debate that are pre-requisites for future careers.
We offer needs-based awards for our master’s programmes, including the Graduate Support Scheme and LSE Excellence Scholarship. Please check the specific details, requirements and restrictions on scholarship availability on our website.
Admission Requirements
70+
7+
100+
Visit the website for information about the entry requirements.
12 Months
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.
This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme and LSE Excellence Scholarship.
Selection for any funding opportunity is based on receipt of an application for a place – including all ancillary documents, before the funding deadline.
In addition to our needs-based awards, LSE also makes available scholarships for students from specific regions of the world and awards for students studying specific subject areas.
Visit the website for more information about funding support.
MSc Geographic Data Science
Main Campus, London, United Kingdom
# 2QS Subject Rankings
12 monthsProgramme duration
GeographyMain Subject Area
Programme overview
Main Subject
Geography
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
We offer needs-based awards for our master’s programmes, including the Graduate Support Scheme and LSE Excellence Scholarship. Please check the specific details, requirements and restrictions on scholarship availability on our website.
Programme overview
Main Subject
Geography
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
We offer needs-based awards for our master’s programmes, including the Graduate Support Scheme and LSE Excellence Scholarship. Please check the specific details, requirements and restrictions on scholarship availability on our website.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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