Overview
During this Geospatial Sciences (Geographic Information Science and Computing) programme from University College London (UCL), students have the opportunity to engage and work with academics and industrial partners on cutting-edge research through seminars and a dissertation.
This specialist GIS and Computing programme educates students in the theoretical, scientific and practical aspects of geographic information science, with a strong focus on the technical and analytical aspects of the discipline. The pathway covers a range of topics from spatial analysis and geocomputation to programming and app development. Our graduates become GIS professionals rather than simply GIS users.
Teaching and learning
The programme is delivered through a combination of lectures, computer sessions, seminars and field classes. Assessment is via coursework (individual and group), presentations, written examinations and the dissertation.
Careers
- Students graduating with a degree in Geospatial Sciences (Geographic Information Science and Computing) will be equipped for a diverse range of roles, including GIS professional/officer, data scientist, geospatial software developer and consultant.
- Graduates go on to work for a variety of organisations including engineering consultancies, GIS software companies and national mapping agencies.
- University College London (UCL) students establish strong links with industry through the industrial seminar series and industrial research projects. Additionally, many graduates from our programmes go on to PhD research at UCL or elsewhere.
Accreditation
The Geospatial Sciences (GIS and Computing) MSc is accredited by RICS. RICS works in partnership with universities to ensure that their accredited degree courses are relevant to industry. This means that when you study on an accredited degree this will be recognised by employers as the benchmark of quality.
Programme Structure
Courses include:
- Machine Learning for Data Science
- Applied Building Information Modelling
- Geospatial Programming
- Spatial Analysis and Geocomputation
- Spatial-Temporal Data Analysis and Data Mining (STDM)
- Sensors and Location
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
- London, United Kingdom
Disciplines
Astronomy & Space Sciences Geographical Information Systems (GIS) Computer Sciences View 485 other Masters in Computer Sciences in United KingdomWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, architecture, geography, urban planning, mathematics, surveying, marine and earth sciences, computer science) from a UK university or an overseas qualification of an equivalent standard.
- Normally only candidates with either a first or upper second-class degree will be accepted, although applicants with a lower second-class degree supported by extensive work experience will also be considered.
- The English language level for this programme is: Level 1
Tuition Fees
-
International Applies to you
Applies to youNon-residents39800 GBP / year≈ 39800 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents20500 GBP / year≈ 20500 GBP / year
Additional Details
Part time
UK: £10,250
International: £19,900
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Geospatial Sciences (Geographic Information Science and Computing).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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