There is ever-growing national and international demand for qualified professionals and scientists who have expertise in one or more domains of social and environmental modelling and GIS-based spatial analysis and decision support. The UCL's Geospatial Analysis MSc provides rigorous scientific and vocational training for the next generation of scientific modelling and decision-support professionals.
See the website http://www.ucl.ac.uk/prospective-students/graduate/taught/degrees/geospatial-analysis-msc
- Application dates
Open: 5 October 2015
Close: 29 July 2016
Optional qualifications: This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.
English Language Requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on http://www.ucl.ac.uk/prospective-students/graduate/life/international/english-requirements
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from http://www.ucl.ac.uk/prospective-students/international
The programme combines a rigorous treatment of underlying theory for, and methods of implementing and exploiting, spatial analysis and decision support. Optional courses provide the opportunity to develop expertise in modelling and analysis in one or more areas of social and environmental science with social and policy dimensions.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research dissertation (60 credits).
A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered.
A Postgraduate Certificate (60 credits, full-time 12 weeks, part-time one year) is offered.
- Core Modules
GIS Principles and Technology
Principles of Spatial Analysis
Representation, Structures and Algorithms
Airborne Data Acquisition
Geodemographics and Population Geography
Network and Locational Analysis
Spatial Decision Support Systems
Spatio-temporal Analysis and Data Mining
Surface Water Modelling
Terrestrial Carbon: Modelling and Monitoring
Web and Mobile GIS
All MSc students undertake an independent research project which culminates in a dissertation of approximately 12,000 words and a poster presentation.
Teaching and Learning
The programme is delivered through a combination of lectures, seminars, tutorials and laboratory and computer-based practical classes. Assessment is through independent project work, practical-based and written coursework, and the dissertation.
Further information on modules and degree structure available on the department web site Geospatial Analysis MSc http://www.ucl.ac.uk/gis
Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website http://www.ucl.ac.uk/prospective-students/scholarships
There is a national and international need for scientists with skills in GIS-based analysis and decision support complemented by a deep knowledge of domain-specific models and analytical methods that can be brought to bear on environmental issues and their social consequences. The MSc provides an ideal foundation for PhD research, or for prospective employment within research organisations, consultancies, government departments and a wide range of industries.
A student on the first cycle of the course came with work experience in water engineering in several Middle Eastern countries. He took the options in Spatial Decision Support, Network and Locational Analysis, Geodemographics and Population Geography, and Spatio-Temporal Analysis and Data Mining to broaden and add depth to his skills base; his dissertation was undertaken with Kuwait's Environmental Public Authority. He spent a year acting as a consultant on water engineering projects worldwide and returned to UCL in September 2013 to study for a PhD.
Why study this degree at UCL?
The Geospatial Analysis MSc is run by UCL Geography, which enjoys an outstanding international reputation for its research and teaching. The programme brings together the department's strong expertise in spatial science and social and environmental modelling.
Contributions to the programme are also made by UCL Civil, Environmental and Geomatic Engineering, providing complementary expertise in geographic information systems.
Students enter a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. UCL's location, in central London, provides easy access to many key intellectual venues and resources, such as the British Library.
Student / staff ratios › 43 staff including 15 postdocs › 158 taught students › 70 research students
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
- Who can apply?
The programme is particularly suitable for students with an undergraduate degree in Geography, Earth or Environmental Science, Geomatics, Oceanography, or another relevant discipline. Applicants with relevant professional experience in geographic information systems, spatial analysis or decision support will also be considered.
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Geospatial Analysis
- why you want to study Geospatial Analysis at UCL
- what particularly attracts you to this programme
- how your academic and/or professional background meets the demands of a challenging academic environment
- where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.
For more information see our Applications page http://www.ucl.ac.uk/prospective-students/graduate/apply