12 monthsProgramme duration
SepStarting Month
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:
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:
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
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Frequently Asked Questions
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.
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