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Masters Degrees (Spatial Analysis)

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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. Read more
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

Key Information

- Application dates
All applicants:
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 .

International students

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 .

Degree Information

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
Mapping Science
Principles of Spatial Analysis
Representation, Structures and Algorithms

- Options
Airborne Data Acquisition
Climate Modelling
Geodemographics and Population Geography
GIS Design
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

- Dissertation/report
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

Funding

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 .

Careers

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.

- Employability
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

- Applications
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 .

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The Spatial Data Science and Visualisation MSc teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Read more

The Spatial Data Science and Visualisation MSc teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Students carry out their own research project, supported by academics, researchers and other students in one of the most exciting, interdisciplinary research teams in the field. The programme takes place within The Bartlett, UCL's Faculty of the Built Environment.

About this degree

Students gain a grounding in the principles and skills of spatial research, data analysis and visualisation, agent-based models and virtual environments, and develop an understanding of research methodology for data collection and analysis. Subject-specific modules provide students with the opportunity to develop skills in spatial analysis and to contribute to current debates in the field. They will learn programming skills in Java/Processing, Python, R, JavaScript and SQL, and the ability to use a range of interactive geospatial and visualisation tools (ArcGIS, Unity, Mapbox and CityEngine).

The programme consists of four core modules (60 credits), a group mini-project (30 credits), two elective modules (30 credits), and a dissertation (60 credits).

Core modules

The core modules focus on technical skills, leading to applications in mapping, visualising and analysing spatial data.

  • Data Science for Spatial Systems
  • Geographic Information Systems and Science
  • Introduction to Programming
  • Quantitative Methods
  • Group Mini Project: Digital Visualisation

Elective modules

Students select two elective modules from a wide range available at UCL, subject to approval.

Dissertation/report

All students submit a dissertation of 10-12,000 words.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials and practical-based workshops and classes. The interlinked laboratory research-based mini project with data collection focuses on ‘remote data mining’ rather than fieldwork in the traditional planning/geographical/architectural sense. Assessment is through group and individual projects and the dissertation.

Further information on modules and degree structure is available on the department website: Spatial Data Science and Visualisation MSc

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

Recent graduates of our related Spatial Data Science and Visualisation MRes have gone on to work as developers, in spatial analysis, and a number have continued to PhDs. Through our PhD partners, Knowledge Transfer Partnerships and substantial outreach, graduates will be able to take advantage of CASA's links to the world outside academia.

Employability

The Spatial Data Science and Visualisation MSc provides a unique skill set in computation mapping, visualisation and spatial research. Research-led skills are increasingly a key element in our understanding of complex spatial functions, particularly as vast amounts of previously unused data are becoming available either from changes in accessibility regulation or more widely as a result of new mass data collection methodologies.

Why study this degree at UCL?

The Centre for Advanced Spatial Analysis (CASA) is a research centre specialising in computational and mathematical approaches, with cutting-edge research in GIS, urban simulation, mapping, data visualisation, and 3D environments in cities and space.

Students on this programme will be exposed to a range of programming languages (Java/Processing, R, Python and MySQL), 3D visualisation packages, and be given a substantive grounding in GIS, programming structure, mathematical methods and data design.

The combination of skills involved in this programme is unique – graduates will be able to lead institutions and companies in new directions and be involved in changing cultures across the sector.



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The Spatial Data Science and Visualisation MRes teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Read more

The Spatial Data Science and Visualisation MRes teaches cutting-edge data analysis, mining, modelling and visualisation techniques for spatial systems. Students carry out their own research project, supported by academics, researchers and students in one of the most exciting, interdisciplinary research teams in the field, within The Bartlett, UCL's Faculty of the Built Environment.

About this degree

Students gain a grounding in the principles and skills of spatial research, data analysis and visualisation and virtual environments, and develop an understanding of research methodology and methods of data collection and analysis. Subject-specific modules provide students with the opportunity to develop skills in spatial analysis and to contribute to current debates in the field.

The programme consists of four core modules (60 credits), a group mini-project (30 credits) and a research dissertation (90 credits).

Core modules

  • Data Science for Spatial Systems
  • Geographic Information Systems and Science
  • Introduction to Programming
  • Quantitative Methods
  • Group Mini Project: Digital Visualisation

Optional modules

There are no optional modules on this programme.

Dissertation/report

All students submit a research dissertation of 10-12,000 words and 5,000-words in the form of a paper for publication.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials and practical-based workshops and classes. The interlinked laboratory research-based mini project with data collection focuses on ‘remote data mining’ rather than fieldwork in the traditional planning/geographical/architectural sense. Assessment is through group and individual projects and the dissertation.

Further information on modules and degree structure is available on the department website: Spatial Data Science and Visualisation MRes

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

The Spatial Data Science and Visualisation MRes offers a unique skillset in computation mapping, visualisation and spatial research, with recent graduates working at Ordnance Survey and the BBC, as well as a number continuing to PhDs. Through our PhD partners, Knowledge Transfer Partnerships and substantial outreach, CASA is well-connected to the world outside academia.

Employability

Research-led skills are becoming increasingly key in shaping our understanding of complex spatial functions. Vast amounts of previously unused data are becoming available either from changes in accessibility, the nature of network and cloud-based computing, changing national data policies or more widely as a result of new mass data collection methodologies.

Why study this degree at UCL?

The Centre for Advanced Spatial Analysis (CASA) is a research centre specialising in computer-based methods such as GIS, urban simulation, mapping, data visualisation, and 3D environments in cities and space.

Graduates from our programme will have been exposed to a range of programming languages (Processing, R, Python and MySQL), 3D visualisation packages, and a substantive grounding in GIS, programming structure, mathematical methods and data design.

This combination of skills is unique – graduates from this programme will be leading institutions and companies in new directions and changing cultures across the sector.



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This programme is unique in its focus on the core challenges facing our increasingly 'smart' cities, from their operational functions and planning through to management and control. Read more

This programme is unique in its focus on the core challenges facing our increasingly 'smart' cities, from their operational functions and planning through to management and control. Reflecting the changes that technology is making to the operation of, and our understanding of, the city, the degree gives students the technical and theoretical skills needed to make a difference to the cities of today and tomorrow.

About this degree

Students are equipped with key quantitative practical skills such as mathematical and statistical modelling, computer programming, spatial analysis and cartographic visualisation, underpinned by broad theoretical perspectives on the demographics, economics, form, function, network interactions, governance, policy, planning and crucially science of cities across the world.

Students undertake modules to the value of 180 credits.

The programme consists of six core modules (105 credits), one optional module (15 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma, six core modules (105 credits), one optional module (15 credits), is offered.

Core modules

  • Geographic Information Systems and Science
  • Quantitative Methods
  • Smart Cities: Context, Policy and Government
  • Urban Systems Theory
  • Spatial Data Capture, Storage and Analysis
  • Urban Simulation

Optional modules

  • Introduction to Programming
  • Or any other open 15-credit module from across UCL

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning

The technical aspects of the programme will be delivered through traditional workshops, lectures and practicals, but we will seek to incorporate novel assessment methods such as blog posts, and shared outputs such as visualisations/maps and web apps. Assessment is through a variety of written coursework assignments and final dissertation, presentation of researched material and practical investigations, and participation in dedicated skills modules.

Further information on modules and degree structure is available on the department website: Smart Cities and Urban Analytics MSc

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

This programme gives students the skill set and knowledge base to embark on a professional or academic path through the highly interdisciplinary field of spatial science.

Employability

Students will graduate with an extremely broad range of new transferable practical skills including computer programming, database management, (big) data mining and web-visualistation, along with an understanding of mathematical and statistical analysis methods, geographic information science, spatial analysis and urban modelling. All of these skills are developed in parallel with a wider appreciation of the problems and challenges facing contemporary cities and how the latest data and analysis methods can help address them.

Why study this degree at UCL?

The UCL Bartlett Centre for Advanced Spatial Analysis (CASA) is one of the leading research centres in the science of cities, generating new knowledge and insights for use in city planning, policy and design, and drawing on the latest geospatial methods and ideas in computer-based visualisation and modelling.

Smart Cities is a key area of future innovation and investment in the UK, and Smart Cities and Urban Analytics is currently the only UK-based Master’s programme available in this area.

Companies such as Intel, IBM, ARUP and CISCO all have strategies around smart city development, creating a demand for skilled personnel. CASA has well-established links with these companies and the Head of Department sits on the Smart Cities Board at the Greater London Authority to advise the Mayor on developments.



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This programme is unique in its focus on the core challenges facing our increasingly 'smart' cities, from their operational functions and planning through to management and control. Read more

This programme is unique in its focus on the core challenges facing our increasingly 'smart' cities, from their operational functions and planning through to management and control. The programme reflects the changes that technology is making to the operation of, and our understanding of, the city, and gives students the technical and theoretical skills needed to make a difference to the planning of the cities of today and tomorrow.

About this degree

Students are equipped with key quantitative practical skills including mathematical and statistical modelling, computer programming, spatial analysis and cartographic visualisation.

Students undertake modules to the value of 180 credits. The programme consists of seven core modules (120 credits), and a dissertation/report (60 credits).

A Postgraduate Diploma, seven core modules (120 credits) is offered.

Core modules

  • Geographic Information Systems and Science
  • Quantitative Methods
  • Smart Cities: Context Policy and Government
  • Urban Systems Theory
  • Spatial Data Capture, Storage and Analysis
  • Urban Design: Place-making
  • Planning Practice

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning

The technical aspects of the programme will be delivered through traditional workshops, lectures and practicals, but we will seek to incorporate novel assessment methods such as blog posts, and shared outputs such as visualisations/maps and web apps. Assessment is through a variety of written coursework assignments and final dissertation, presentation of researched material and practical investigations, and participation in dedicated skills modules.

Further information on modules and degree structure is available on the department website: Smart Cities and Urban Analytics (RTPI Pathway) MSc

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

This programme gives students the skills and knowledge base to embark on a professional or academic path through the highly interdisciplinary field of spatial science.

Employability

Students will graduate with an extremely broad range of new transferable practical skills including computer programming, database management, (big) data mining and web visualisation, along with an understanding of mathematical and statistical analysis methods, geographic information science, spatial analysis and urban modelling. All of these skills are developed in parallel with a wider appreciation of the problems and challenges facing planners in contemporary cities and how the latest data and analysis methods can help address them. This degree will lead to full RTPI accreditation for students already holding an RTPI accredited Bachelor's degree from UCL or another accredited planning school, leading to a career in the UK planning system.

Why study this degree at UCL?

The UCL Barlett Centre for Advanced Spatial Analysis (CASA) is one of the leading research centres in the science of cities, generating new knowledge and insights for use in city planning, policy and design, and drawing on the latest geospatial methods and ideas in computer-based visualisation and modelling.

Smart cities is a key area of future innovation and investment in the UK, and Smart Cities and Urban Analytics is currently the only UK-based Master's programme available in this area.

Companies such as Intel, ARUP and Cisco all have strategies around smart city development, creating a demand for skilled personnel. CASA has well-established links with these companies and the Head of Department sits on the Smart London Board at the Greater London Authority to advise the Mayor of London on developments.



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The GIS (Geographical Information Science) MSc provides an education in the theoretical, scientific and practical aspects of GIS. Read more
The GIS (Geographical Information Science) MSc provides an education in the theoretical, scientific and practical aspects of GIS. It prepares students for technical and analytical GIS roles and is in high demand; we have very close links with industry and the majority of our students find employment prior to contemplating their degree.

Degree information

Students gain a solid grounding in the scientific principles underpinning the computational and analytical foundations of GISc. Our staff are world-leading experts in the areas of programming location-enabled Apps, spatial and 3D databases, big spatio-temporal analytics, citizen science and and human computer interaction, and the MSc therefore is able to offer a wide range of options and specialisations.

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 project (60 credits). A Postgraduate Diploma, four core modules (60 credits), four optional modules (60 credits), full-time nine months is offered.

Core modules - core modules introduce the theory underpinning GIS, along with programming skills (python) and the basics of spatial analysis and statistcs. You'll learn to critically engage with GIS rather than just pushing buttons - how does the way data is captured and modelled influence the results of your analysis? Do you get the same results from two different GIS packages? Knowing what is inside the 'black box' means you understand analytical results and their limitations.
-GIS Principles and Technology
-Principles of Spatial Analysis
-Mapping Science
-Representations, Structures and Algorithms

Optional modules - term two is where you start to specialise, chosing modules that fit your interests, intended career choice and/or prepare you for your dissertation. At this point you can chose a heavilty technical route (e.g. databases, programming, human computer interaction) a more analytical route (spatio-temporal data mining, network and locational analysis, databases) or a mixture of the two routes. You will need to chose four modules in total. At least 30 credits of optional modules selected from :
-Geographical Information System Design
-Spatio-Temporal Analysis and Data Mining
-Web and Mobile GIS – Apps and Programming
-Spatial Databases and Data Management

Plus no more than 30 credits of optional modules (all term two) selected from :
-Airborne Data Acquisition
-Applied Building Information Modelling
-Network and Locational Analysis
-Image Understanding
-Ocean and Coastal Zone Management
-Positioning
-Research Methods
-Terrestrial Data Acquisition

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 10,000–15,000 words. Where appropriate, this may be undertaken in conjunction with one of our many industrial partners, including Arup, Joint Research Centre, British Red Cross, Transport for London.

Teaching and learning
The programme is delivered through lectures, practical classes, demonstrations and tutorials, and is supported by a series of external speakers from industry and visits to industrial who give weekly seminars describing how GIS is used in their field as well as what they are looking for when recruiting graduate GIS students. Assessment is through unseen examinations, group and individual coursework, formal and oral presentations, and the dissertation.

Careers

There are excellent employment prospects for our graduates, with starting salaries of around £25,000. Recent GIS graduates have found openings with large engineering design firms (such as Arup or WSP), specialist consultancy firms such as Deloitte or Informed Solutions, in leading professional software companies (such as ESRI or Google), with local authorities, for organisations such as Shell, Tesco, the Environment Agency, Transport for London, NHS and the Ordnance Survey.

Employability
Students will develop specific skills including a fundamental understanding of GIS and its application to real-world problems, through theoretical lectures covering the foundations of the science – how data is captured, map creation, generalisation, spatial data management, spatial analysis, data quality and error, and spatial algorithms. Students will develop strong technical (python, R, Java, HTML, Javascript, SQL) and analytical skills (data mining, human computer interaction and usability), and in order to fully understand the principles behind GIS will make use of multiple GIS packages, both proprietary and free/open source (ArcGIS, QGIS).

Why study this degree at UCL?

This highly regarded MSc has been running for nearly 30 years and is taught by internationally recognised academics. Our specialist GIS laboratory offers the latest open source and proprietary software and our unique dual focus on the computer science and analytical aspects of GIS means that you will be able to develop your skills in multiple directions.

Our close links with industry (a strong alumni group and weekly industrial seminars) mean that you will be able to directly link your classroom learning with your future career as a GIS professional; you can also undertake your dissertation with an industrial partner.

As well as weekly industrial seminars, you will have the option to do an industry-linked project, and you will be able to attend our annual GIS careers event, which is co-organized with the UK Assocation of Geographic Infrormation.

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The father of town planning, Patrick Geddes was a professor of botany at this University hence our strong historical links to the planning profession. Read more
The father of town planning, Patrick Geddes was a professor of botany at this University hence our strong historical links to the planning profession. The University of Dundee has been running town and regional planning programmes for over fifty years with a proud list of its graduates who went on to take up positions of influence in shaping the development of quality cities and spaces across the world. Dundee, the city, is located in an idealistic location for learning planning.

This course attracts students from a wide network of countries and varied professional backgrounds and this a unique environment to collaborate different experiences from other students.

This programme is accredited to the Royal Town Planning Institute and provides options for specialisms in Environmental Assessment, Marine Spatial Planning, Sustainable Urban Design and Urban Conservation. Our academic staff have a strong research and practice background in these specialist areas. The programme has strong links with practitioners so our students have the opportunity to engage with 'live' projects as part of their learning.

The course offers options for part-time study for those in full time employment.

What is so good about this course?

The idealistic location of Dundee enables students to 'live what they learn'. This is made possible by collaborative relations that the programme has with the key planning agencies in and around Dundee and thus allowing students to engage with practitioners through lectures, seminars and fieldwork. The programme has dedicated learning and IT facilities to enhance the students learning experience.

Teaching & Assessment

- How you will be taught

This course can either be taken on a full-time (1 year) or part time basis (2 years). The mode of teaching is generally through class lectures, guest speaker seminars and student-led seminars. Time is allowed to encourage individual study using the library and other facilities.

The course is done over three semesters. The first semester covers core modules in, Statutory Planning, Spatial Analysis and Property Development Processes. The second semester covers two core modules, Concepts of Planning and Sustainability in Contemporary Cities and an optional specialism module.. The third semester is for the dissertation based on the specialist option. Each semester allows for 60 credits leading to a total of 180 credits for the full MSc Award.

- How you will be assessed

This course has a mixed approach to assessment including report writing, essay writing, oral presentations and group-work tasks. The dissertation is an individual investigation researched by the student in line with the selected specialism. All assessments are 100% coursework with no examinations.

What you will study

- Semester 1:

Spatial Analysis has two key components. The first component analyses built and natural environments particularly from a conservation perspective. The second part of the module focuses on socio-economic analysis of data at a city scale and the relevance of this to planning.

Statutory Planning is a practice based approach to learning processes processes of plan-making and the management of development.

Property Development Processes deals with complexities and challenges in the property development sector and the role of different stakeholders involved.

- Semester 2

Concepts of spatial planning introduces students to the role of planning and planning systems. The other part of this module introduces students to various planning theories and their relevance to practice.

Sustainability in Contemporary Cities examines various challenges facing the growth of cities globally and the implications of these to planning of cities and the countryside.

The third second semester module is optional depending on the selected specialism. Students select one specialist module from the following:

Environmental Assessment
Marine Spatial Planning
Sustainable Urban Design
Urban Conservation
Applied Geographic Information Systems and Geospatial Data Analysis

- Semester 3:

A 60 credit dissertation in line with the selected specialism

Employability

Our MSc programmes equip our students with a variety of skills required to support spatial planning field such as stakeholder engagement, renewable energies, urban design, urban conservation, property development, housing development, public policy and environmental impact assessments. Most of our graduates take up employment in the UK and beyond. Typical employment is with the public and private sectors involved in a variety of built and natural environments. Generally, students from international destinations either return to their employers to take up new challenges or venture into new opportunities.

The University's Careers Service continues to offer support to our graduates for up to 5 years from completing our programmes.

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Spatial Planning determines the design of places, the relationships between land uses, and identifies infrastructure requirements. Read more
Spatial Planning determines the design of places, the relationships between land uses, and identifies infrastructure requirements. The planning process makes provision for the needs of households and the requirements of the economy, and planning aims to mitigate the adverse impacts of development upon our natural environment.

Marine Spatial Planning is a new field arising from new legislation geared to sustainable use of the marine environment. New planning procedures are being introduced and new skills are required to engage with the process. It is aimed at environmental planners and consultants working with local authorities, regulatory bodies, government, land owners and NGOs.

Why choose spatial planning?

Spatial Planning is concerned with creating sustainable places, Planners achieve this in a number of ways:

Planners work with building firms and housing organisations to help make available sites addressing the housing needs of local areas. They meet with local communities to learn about their concerns and to discuss ways of tackling issues such as the protection of homes from flood risk. They provide guidance on how to promote quality in the design of places and buildings.

Planning makes possible investment in sustainable economic development. Through preparing medium and long-term plans, planners ensure that land is available for development within and around our cities and towns. Planners often lead on regeneration projects and work in partnership with engineers to bring forward the infrastructures necessary to relieve transport congestion and to provide for long-term energy solutions.

Climate change is making achieving sustainability increasingly important. Planners, work with the environmental agencies and with conservation interests to ensure that the potential environmental impacts arising from development proposals are first established and then they use planning powers to promote a sustainable balance between social and economic development and the protection of the environment.

Who becomes a planning students?

Spatial Planning is a multi-disciplinary activity and attracts a wide mix of graduates. Often these are geography graduates, but increasingly graduates with social science, law, architecture and surveying degrees, as well as graduates from the environmental sciences find that Spatial Planning makes use of their knowledge and training.

Aims of the Programme

The Spatial Planning programmes are designed to provide the knowledge, skills and understanding required for graduates wishing to enter into professional careers in urban planning and development.

Programme Content

Semester 1:
Spatial Analysis has two key components. The first component analyses built and natural environments particularly from a conservation perspective. The second part of the module focuses on socio-economic analysis of data at a city scale and the relevance of this to planning.

Statutory Planning. is a practice based approach to learning processes processes of plan-making and the management of development.

Property Development Processes deals with complexities and challenges in the property development sector and the role of different stakeholders involved.

Semester 2:

Concepts of spatial planning introduces students to the role of planning and planning systems. The other part of this module introduces students to various planning theories and their relevance to practice.

Sustainability in Contemporary Cities examines various challenges facing the growth of cities globally and the implications of these to planning of cities and the countryside.

The third second semester module is optional depending on the selected specialism. Students select one specialist module from the following:

Environmental Assessment
Marine Spatial Planning
Sustainable Urban Design
Urban Conservation
Applied Geographic Information Systems and Geospatial Data Analysis
Semester 3:

A 60 credit dissertation in line with the selected specialism

Methods of Assessment

Assessment methods cover a mix of formats including 'live' project-work and a research project. There are no written examinations. The educational aims are to develop subject understanding and to equip students with research and practice skills. Assignments call for visioning, problem-solving, forward-planning and critical reflection. Assignments are informed by students making effective use of available literature, conducting investigations and accessing sources of data. Attention is paid to building the effective communication and partnering skills vital for practicing professional planners.

Sources of Funding

Information about the School of the Environment scholarships can be found on the School of the Environment scholarships webpage. Other sources of funding for postgraduate students can be found on our Scholarships webpage.

SAAS tuition fee loans are available for this course for students who meet the eligibility criteria. Visit our SAAS tuition fee loan webpage for more information and links.

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Why Study with Us?. Join an established course with excellent reputation and feedback. Get support and advice from experienced lecturers, tutors, librarians, e-learning and IT staff. Read more

Why Study with Us?

  • Join an established course with excellent reputation and feedback.
  • Get support and advice from experienced lecturers, tutors, librarians, e-learning and IT staff.
  • Access a wide range of online resources such as e-books, digital lectures and podcasts, discussion boards and video-conference tools all within a dedicated e-learning platform.
  • Develop and improve your employability, professional and academic skills and gain extensive hands-on practice with key software.
  • Obtain free student copies of GIS, remote sensing and statistical software.
  • Be assessed entirely by coursework – there are no formal examinations.
  • Pay your fees by instalments.
  • With a fully online course, you can study from almost anywhere and there is no need to travel to classes.
  • You can enrol to study part-time or full-time and choose the times you study each week to suit yourself.
  • Substantial relevant work experience may be accepted in place of standard entry requirements.
  • Study for a Master’s degree, a PG Diploma, PG Certificate or enrol for individual modules.

Why Study GIS?

The benefits of GIS are increasingly recognised within government, business, education and the voluntary sector, and the applications of geospatial data technologies are steadily growing. Using GIS, it is possible to combine data from a broad range of sources and in a variety of formats, such as paper and digital maps, routinely collected administrative data, censuses and population surveys, satellite imagery, aerial photography, GPS tracking and surveys, LiDAR and crowd-sourcing. The uses of GIS are very diverse, and include mapping, spatial analysis, planning and decision-making within a wide range of disciplines and sectors – common examples include environmental management and conservation, resource management, emergency service planning and humanitarian assistance, health care provision, land use planning and urban development, the utilities, transport, geo-demographics, mineral extraction and retail analysis. Increasing uptake of GIS and associated techniques and technologies means that there is a growing demand for qualified personnel who have the skills to manage spatial data effectively. Strong industry links help ensure that our course is relevant to the needs of employers.

Course Summary

The course is designed to help people gain understanding and experience of GIS concepts, functionality and applications. Content focuses on the representation, acquisition, management, manipulation and analysis of spatial data. It also includes modules on remote sensing, spatial databases, web-GIS and GIS in the commercial environment. Additional optional modules include GIS work experience, spatial analysis and modelling, GIS for environmental management, and Customising GIS.

In addition to acquiring substantial theoretical knowledge of the subject, you will gain extensive practical experience using a variety of software, focusing primarily on ArcGIS but also including ERDAS Imagine, PostgreSQL, PostGIS, MySQL, OpenLayers, Geoserver, QGIS, Excel, SPSS and a number of GIS extensions and plug-ins. One of the core modules provides experience of web-based programming languages such as HTML, CSS and JavaScript, whilst an optional module in customising GIS applications introduces Esri’s ModelBuilder and the Python programming language.

After successfully completing the PgDip modules, you may transfer to the Masters part of the programme. This requires the completion of a substantial independent research project, written in the form of a research journal article (which may, with agreement of your supervisor, be submitted for publication).

As part of the course resources, you will be provided with a free copy of ArcGIS, the remote sensing package ERDAS Imagine, and the data analysis package SPSS.

Work placement / study abroad

Gaining experience in the workplace and being able to apply academic learning within that context is very beneficial for students preparing to enter the workplace, so we offer the option of undertaking a GIS Work Experience module to full-time students. This entails working within an organisation for 2.5 days per week over a six-week period. Placements (which are unpaid) may be in the public sector, private companies, charities or education. Students who take this module find it extremely helpful for both their professional and personal development and refer particularly to benefits such as broadening their technical skills, gaining experience of team-working and of independent problem-solving, improved confidence and of learning about the geospatial industry and employment through exposure to real-world applications of GIS.

Part-time students who are in GI-related employment may opt to undertake the GIS Workplace Project.

Career options

GIS and geospatial technologies underpin a rapidly growing, multi-billion dollar industry, and are becoming increasingly mainstream within both the public and private sectors, resulting in a need for graduates who have a combination of theoretical knowledge and practical skills.

Graduates of this course have secured employment in a variety of GIS-related roles worldwide, in GIS positions including technicians, analysts, scientists, surveyors, data specialists, mapping officers, consultants, project managers, development, sales and marketing, customer support, GIS training, lecturing and research (including funded PhD projects). The breadth of potential uses of GIS ensures a great diversity of job opportunities; for example, our graduates have found employment with mapping agencies, GIS and SatNav companies, environmental consultancies, ecological and marine resource management and environmental agencies, renewable energy companies, forestry, fisheries, town planning departments, heritage agencies, health and emergency services, housing authorities, local government, aid agencies, countryside recreation, rural development, retail analysis, utilities and infrastructure, Further and Higher Education, mining and mineral exploitation and the oil industry, among others. Knowledge and understanding of geo-spatial data is also increasingly required in a variety of jobs outside of the GI profession, making a GIS qualification a valuable asset enhancing employability in a range of fields.



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Why Study with Us?. Join an established course with excellent reputation and feedback. Get support and advice from experienced lecturers, tutors, librarians, e-learning and IT staff. Read more

Why Study with Us?

  • Join an established course with excellent reputation and feedback.
  • Get support and advice from experienced lecturers, tutors, librarians, e-learning and IT staff.
  • Access a wide range of online resources such as e-books, digital lectures and podcasts, discussion boards and video-conference tools all within a dedicated e-learning platform.
  • Develop and improve your employability, professional and academic skills and gain extensive hands-on practice with key software.
  • Obtain free student copies of GIS, remote sensing and statistical software.
  • Be assessed entirely by coursework – there are no formal examinations.
  • Pay your fees by instalments.
  • With a fully online course, you can study from almost anywhere and there is no need to travel to classes.
  • You can enrol to study part-time or full-time and choose the times you study each week to suit yourself.
  • Substantial relevant work experience may be accepted in place of standard entry requirements.
  • Study for a Master’s degree, a PG Diploma, PG Certificate or enrol for individual modules.

Why Study GIS?

The benefits of GIS are increasingly recognised within government, business, education and the voluntary sector, and the applications of geospatial data technologies are steadily growing. Using GIS, it is possible to combine data from a broad range of sources and in a variety of formats, such as paper and digital maps, routinely collected administrative data, censuses and population surveys, satellite imagery, aerial photography, GPS tracking and surveys, LiDAR and crowd-sourcing. The uses of GIS are very diverse, and include mapping, spatial analysis, planning and decision-making within a wide range of disciplines and sectors – common examples include environmental management and conservation, resource management, emergency service planning and humanitarian assistance, health care provision, land use planning and urban development, the utilities, transport, geo-demographics, mineral extraction and retail analysis. Increasing uptake of GIS and associated techniques and technologies means that there is a growing demand for qualified personnel who have the skills to manage spatial data effectively. Strong industry links help ensure that our course is relevant to the needs of employers.

Course Summary

The course is designed to help people gain understanding and experience of GIS concepts, functionality and applications. Content focuses on the representation, acquisition, management, manipulation and analysis of spatial data. It also includes modules on remote sensing, spatial databases, web-GIS and GIS in the commercial environment. Additional optional modules include GIS work experience, spatial analysis and modelling, GIS for environmental management, and Customising GIS.

In addition to acquiring substantial theoretical knowledge of the subject, you will gain extensive practical experience using a variety of software, focusing primarily on ArcGIS but also including ERDAS Imagine, PostgreSQL, PostGIS, MySQL, OpenLayers, Geoserver, QGIS, Excel, SPSS and a number of GIS extensions and plug-ins. One of the core modules provides experience of web-based programming languages such as HTML, CSS and JavaScript, whilst an optional module in customising GIS applications introduces Esri’s ModelBuilder and the Python programming language.

After successfully completing the PgDip modules, you may transfer to the Masters part of the programme. This requires the completion of a substantial independent research project, written in the form of a research journal article (which may, with agreement of your supervisor, be submitted for publication).

As part of the course resources, you will be provided with a free copy of ArcGIS, the remote sensing package ERDAS Imagine, and the data analysis package SPSS.

Work placement / study abroad

Gaining experience in the workplace and being able to apply academic learning within that context is very beneficial for students preparing to enter the workplace, so we offer the option of undertaking a GIS Work Experience module to full-time students. This entails working within an organisation for 2.5 days per week over a six-week period. Placements (which are unpaid) may be in the public sector, private companies, charities or education. Students who take this module find it extremely helpful for both their professional and personal development and refer particularly to benefits such as broadening their technical skills, gaining experience of team-working and of independent problem-solving, improved confidence and of learning about the geospatial industry and employment through exposure to real-world applications of GIS.

Part-time students who are in GI-related employment may opt to undertake the GIS Workplace Project.

Career options

GIS and geospatial technologies underpin a rapidly growing, multi-billion dollar industry, and are becoming increasingly mainstream within both the public and private sectors, resulting in a need for graduates who have a combination of theoretical knowledge and practical skills.

Graduates of this course have secured employment in a variety of GIS-related roles worldwide, in GIS positions including technicians, analysts, scientists, surveyors, data specialists, mapping officers, consultants, project managers, development, sales and marketing, customer support, GIS training, lecturing and research (including funded PhD projects). The breadth of potential uses of GIS ensures a great diversity of job opportunities; for example, our graduates have found employment with mapping agencies, GIS and SatNav companies, environmental consultancies, ecological and marine resource management and environmental agencies, renewable energy companies, forestry, fisheries, town planning departments, heritage agencies, health and emergency services, housing authorities, local government, aid agencies, countryside recreation, rural development, retail analysis, utilities and infrastructure, Further and Higher Education, mining and mineral exploitation and the oil industry, among others. Knowledge and understanding of geo-spatial data is also increasingly required in a variety of jobs outside of the GI profession, making a GIS qualification a valuable asset enhancing employability in a range of fields.



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Spatial Planning determines the design of places, the relationships between land uses, and identifies infrastructure requirements. Read more
Spatial Planning determines the design of places, the relationships between land uses, and identifies infrastructure requirements. The planning process makes provision for the needs of households and the requirements of the economy, and planning aims to mitigate the adverse impacts of development upon our natural environment.

The planning system is currently undergoing change to be better able to address the challenges of competitiveness and sustainability. There is a pressing requirement in both the public and private sectors for planners with appropriate understanding and skills to plan for development and protect the environment.

The University is a long-established provider of planning education. MSc Spatial Planning will be attractive to individuals with a real interest in tackling the challenges of important urban planning issues; MSc Spatial Planning with Sustainable Urban Design is designed to equip graduates with the professional skills for resolving environmental, economic, social, cultural and spatial dimensions in designing for sustainable development.

Why choose spatial planning?

Spatial Planning is concerned with creating sustainable places. Planners achieve this in a number of ways:

Planners work with building firms and housing organisations to help make available sites addressing the housing needs of local areas. They meet with local communities to learn about their concerns and to discuss ways of tackling issues such as the protection of homes from flood risk. They provide guidance on how to promote quality in the design of places and buildings.

Planning makes possible investment in sustainable economic development. Through preparing medium and long-term plans, planners ensure that land is available for development within and around our cities and towns. Planners often lead on regeneration projects and work in partnership with engineers to bring forward the infrastructures necessary to relieve transport congestion and to provide for long-term energy solutions.

Climate change is making achieving sustainability increasingly important. Planners, work with the environmental agencies and with conservation interests to ensure that the potential environmental impacts arising from development proposals are first established and then they use planning powers to promote a sustainable balance between social and economic development and the protection of the environment.

Who becomes a planning student?

Spatial Planning is a multi-disciplinary activity and attracts a wide mix of graduates. Often these are geography graduates, but increasingly graduates with social science, law, architecture and surveying degrees, as well as graduates from the environmental sciences find that Spatial Planning makes use of their knowledge and training.

Aims of the Programme

The Spatial Planning programmes are designed to provide the knowledge, skills and understanding required for graduates wishing to enter into professional careers in urban planning and development.

Programme Content

Semester 1:
Spatial Analysis has two key components. The first component analyses built and natural environments particularly from a conservation perspective. The second part of the module focuses on socio-economic analysis of data at a city scale and the relevance of this to planning.

Statutory Planning. is a practice based approach to learning processes processes of plan-making and the management of development.Property Development Processes deals with complexities and challenges in the property development sector and the role of different stakeholders involved.

Semester 2:
Concepts of spatial planning introduces students to the role of planning and planning systems. The other part of this module introduces students to various planning theories and their relevance to practice..

Sustainability in Contemporary Cities examines various challenges facing the growth of cities globally and the implications of these to planning of cities and the countryside.

The third second semester module is optional depending on the selected specialism. Students select one specialist module from the following:

Environmental Assessment
Marine Spatial Planning
Sustainable Urban Design
Urban Conservation
Applied Geographic Information Systems and Geospatial Data Analysis

Semester 3:
A 60 credit dissertation in line with the selected specialism

Methods of Assessment

Assessment methods cover a mix of formats including 'live' project-work and a research project. There are no written examinations. The educational aims are to develop subject understanding and to equip students with research and practice skills. Assignments call for visioning, problem-solving, forward-planning and critical reflection. Assignments are informed by students making effective use of available literature, conducting investigations and accessing sources of data. Attention is paid to building the effective communication and partnering skills vital for practicing professional planners.

Sources of Funding

Information about the School of the Environment scholarships can be found on the School of the Environment scholarships webpage. Other sources of funding for postgraduate students can be found on our Scholarships webpage.
SAAS tuition fee loans are available for this course for students who meet the eligibility criteria. Visit our SAAS tuition fee loan webpage for more information and links.

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Spatial Planning determines the design of places, the relationships between land uses, and identifies infrastructure requirements. Read more
Spatial Planning determines the design of places, the relationships between land uses, and identifies infrastructure requirements. The planning process makes provision for the needs of households and the requirements of the economy, and planning aims to mitigate the adverse impacts of development upon our natural environment.

The planning system is currently undergoing change to be better able to address the challenges of competitiveness and sustainability. There is a pressing requirement in both the public and private sectors for planners with appropriate understanding and skills to plan for development and protect the environment.

The University is a long-established provider of planning education. MSc Spatial Planning will be attractive to individuals with a real interest in tackling the challenges of important urban planning issues; MSc Spatial Planning with Urban Conservation is designed to equip graduates for professional management roles concerned with the critical interplay of transport and spatial planning.

Why choose spatial planning?

Spatial Planning is concerned with creating sustainable places. Planners achieve this in a number of ways:

Planners work with building firms and housing organisations to help make available sites addressing the housing needs of local areas. They meet with local communities to learn about their concerns and to discuss ways of tackling issues such as the protection of homes from flood risk. They provide guidance on how to promote quality in the design of places and buildings.

Planning makes possible investment in sustainable economic development. Through preparing medium and long-term plans, planners ensure that land is available for development within and around our cities and towns. Planners often lead on regeneration projects and work in partnership with engineers to bring forward the infrastructures necessary to relieve transport congestion and to provide for long-term energy solutions.

Climate change is making achieving sustainability increasingly important. Planners, work with the environmental agencies and with conservation interests to ensure that the potential environmental impacts arising from development proposals are first established and then they use planning powers to promote a sustainable balance between social and economic development and the protection of the environment.

Who becomes a planning student?

Spatial Planning is a multi-disciplinary activity and attracts a wide mix of graduates. Often these are geography graduates, but increasingly graduates with social science, law, architecture and surveying degrees, as well as graduates from the environmental sciences find that Spatial Planning makes use of their knowledge and training.

Aims of the Programme

The Spatial Planning programmes are designed to provide the knowledge, skills and understanding required for graduates wishing to enter into professional careers in urban planning and development.

Programme Content

Semester 1:
Spatial Analysis has two key components. The first component analyses built and natural environments particularly from a conservation perspective. The second part of the module focuses on socio-economic analysis of data at a city scale and the relevance of this to planning.

Statutory Planning is a practice based approach to learning processes, processes of plan-making and the management of development.

Property Development Processes deals with complexities and challenges in the property development sector and the role of different stakeholders involved.

Semester 2:
Concepts of spatial planning introduces students to the role of planning and planning systems. The other part of this module introduces you to various planning theories and their relevance to practice.

Sustainability in Contemporary Cities examines various challenges facing the growth of cities globally and the implications of these to planning of cities and the countryside.

The third second semester module is optional depending on the selected specialism. You'll select one specialist module from the following:

Environmental Assessment
Marine Spatial Planning
Sustainable Urban Design
Urban Conservation
Applied Geographic Information Systems and Geospatial Data Analysis

Semester 3:
A 60 credit dissertation in line with the selected specialism

Methods of Assessment

Assessment methods cover a mix of formats including 'live' project-work and a research project. There are no written examinations. The educational aims are to develop subject understanding and to equip students with research and practice skills. Assignments call for visioning, problem-solving, forward-planning and critical reflection. Assignments are informed by students making effective use of available literature, conducting investigations and accessing sources of data. Attention is paid to building the effective communication and partnering skills vital for practicing professional planners.

Sources of Funding

Information about the School of the Environment scholarships can be found on the School of the Environment scholarships webpage. Other sources of funding for postgraduate students can be found on our Scholarships webpage.
SAAS tuition fee loans are available for this course for students who meet the eligibility criteria. Visit our SAAS tuition fee loan webpage for more information and links.

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With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. Read more

With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. This new MSc teaches the foundations of GIScience, database, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets.

About this degree

Students will be equipped with computational foundations and skills needed for big data analytics including visualisation, prediction, clustering and simulation with statistical and machine learning approaches, as well as retrieving and mining big (open) data, web services and cloud computing, web and mobile applications, by practising with real case data and open software.

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 dissertation/report (60 credits).

A Postgraduate Diploma, four core modules (60 credits), two optional modules (60 credits), full-time nine months is offered.

Core modules

  • GIS Principles and Technology
  • Principles of Spatial Analysis
  • Spatial Databases and Data Management
  • Spatio-temporal Analysis and Data Mining

Choose four options from the following:

  • Introductory Programming
  • Complex Networks and Web
  • Group Mini project: digital Visualisation (requires basic Java)
  • Mapping Science
  • Supervised Learning (requires Applied Machine Learning)
  • Web Mobile GIS
  • Information Retrieval & Data Mining (requires Introductory Programming)
  • Applied Machine Learning (requires Introductory Programming)

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, and laboratory practicals. Assessment is through examination, coursework, practicals, dissertation, and poster presentation.

Further information on modules and degree structure is available on the department website: Spatio-temporal Analytics and Big Data Mining MSc

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

Graduates from this programme are expected to find positions in consultancy, local government, public industry, and the information supply industry, as well as in continued research. Possible career paths could include: data scientist in the social media, finance, health, telecoms, retail or construction and planning industries; developer of spatial tools and specialised spatial software; researcher or entrepreneur.

Employability

Graduates will be equipped with essential principles and technical skills in managing, modelling, spatial and spatial-temporal analysis, visualising and simulating "big" spatio-temporal data, with emphasis on real development skills including: Java, JavaScript, Python and R. Business Intelligence (BI) skills will also be taught via practical case studies and close collaborations with leading industrial companies and institutions. All these skills are highly valued in big data analysis.

Why study this degree at UCL?

As one of the world’s top universities, UCL excels across the physical and engineering sciences, social sciences and humanities.

Spanning two UCL faculties, this interdisciplinary programme exploits the complementary research interests and teaching programmes of three departments (Civil, Environmental & Geomatic Engineering, Computer Science, and Geography).

Students on the Spatio-Temporal Analytics and Big Data Mining programme will be part of a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. This is supported by weekly research seminars and industrial seminars from top employers in the field.



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The Environmental Mapping MSc is designed to appeal to students looking to map and understand the environment. Read more
The Environmental Mapping MSc is designed to appeal to students looking to map and understand the environment. It provides the opportunity to study at an advanced level the ways in which spatial data can be collected, processed and analysed to qualify and understand environmental issues across a wide range of applications.

Degree information

Students receive core training in mapping science, analytical methods, geographic information systems (GIS), image processing, and other fundamentals of geomatics. They develop techniques for the acquisition of data including satellite remote sensing, global navigation satellite systems (GNSS) and LIDAR, alongside techniques for the analysis, processing, interpretation, and display of spatial data.

Students undertake modules to the value of 180 credits. The programme consists of six core modules (60 credits), optional modules (60 credits) and a research project (60 credits). A Postgraduate Certificate (60 credits), full-time 12 weeks, part-time one year is offered.

Core modules
-Analytical and Numerical Methods
-Scientific Computing
-Mapping Science
-Principles and Practice of Remote Sensing

Optional modules - options may include the following:
-Climate Modelling
-Airborn Data Acquisition
-Surface Water Modelling
-Terrestrial Carbon: Monitoring and Modelling
-Global Monitoring of Environment and Society
-Image Understanding
-Dissertation/report

All students undertake an individual research project. The department has links with industry, and projects may be carried out in collaboration with organisations outside UCL.

Teaching and learning
The programme is delivered through a combination of lectures, demonstrations, tutorials, transferable skills training, compulsory computer training and research supervision. Assessment is through unseen written examinations, coursework, and a dissertation (including a poster presentation).

Careers

The MSc will appeal to individuals interested in developing research training while acquiring vocational skills for work in mapping and monitoring positions in public and private sector institutions. The quantitative skills the degree provides have proved attractive to employers, particularly the grounding in programming, data handling and analysis, image processing and report writing. These skills are generic and have allowed graduates to go into a range of careers in mapping and spatial analysis but also areas such as conservation and management and policy. Environmental Mapping graduates find jobs in diverse companies from consultants and NGOs carrying out environmental and spatial analysis, and governmental and government-affiliated agencies such as DECC and the National Physical Laboratory. The programme is also a suitable training for those wishing to undertake higher-level work as a prelude to a PhD

Employability
The range of generic, transferable skills provided by the programme has proved to be attractive to a range of employers. Students acquire fundamental understanding of the key principles of mapping and data handling and analysis, as well as the ability to communicate their ideas. These principles can and are applicable across a wide range of career options. The interdisciplinary, intercollegiate nature of the degree gives students a unique perspective, not just at UCL, but across the wider world of mapping and environmental science.

Why study this degree at UCL?

The MSc is run by UCL Geography, which enjoys an outstanding reputation for its research and teaching, and has a long pedigree in producing highly employable graduates for industry, research, policy and many other areas.

This MSc offers students an all-round knowledge of monitoring methods and environmental understanding, including the fundamental principles, and current technological developments and applications to local, regional and global problems.

Graduates of the programme are equipped with highly developed practical skills to enable them to take leading roles in academic, governmental or industrial sectors. The degree is integrated with other Geography MSc programmes to provide greater flexibility when choosing optional modules.

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Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. Read more

Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. To impress employers you need the flexibility to learn on the job, leverage open data and program open source software. This MSc draws on UCL's unparalleled concentration of expertise to equip you for future research or significantly enhance your employability.

About this degree

Students learn about a wide range of concepts that underpin computational approaches to archaeology and human history. Students become proficient in the archaeological application of both commercial and open source GIS software and learn other practical skills such as programming, data-mining, advanced spatial analysis with R, and agent-based simulation.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), four optional modules (60 credits) and a research dissertation (90 credits).

Core modules

  • Archaeological Data Science
  • Complexity, Space and Human History

Optional modules

  • Exploratory Data Analysis in Archaeology
  • GIS Approaches to Past Landscapes
  • GIS in Archaeology and History
  • Remote Sensing in Archaeology
  • Spatial Statistics, Network Analysis and Human History
  • The Archaeology of Complex Urban Sites: Analytical and Interpretative Technology
  • Web and Mobile GIS (by arrangement with the UCL Department of Civil and Geomatic Engineering
  • Other options available within the UCL Institute of Archaeology

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning

The programme is delivered through lectures, tutorials and practical sessions. Careful provision is made to facilitate remote access to software, tutorials, datasets and readings through a combination of dedicated websites and virtual learning environments. Assessment is through essays, practical components, project reports and portfolio, and the research dissertation.

Further information on modules and degree structure is available on the department website: Computational Archaeology: GIS, Data Science and Complexity MSc

Careers

Approximately one third of graduates of the programme have gone on to do PhDs at universities such as Cambridge, Leiden, McGill, Thessaloniki and Washington State. Of these, some continue to pursue GIS and/or spatial analysis techniques as a core research interest, while others use the skills and inferential rigour they acquired during their Master's as a platform for more wide-ranging doctoral research. Several graduates who went on to doctoral research are now lecturers in computational Archaeology: at the University of Cambridge, Queen's University Belfast and the University of Colorado. Other graduates have gone to work in a range of archaeological and non-archaeological organisations worldwide. These include specialist careers in national governmental or heritage organisations, commercial archaeological units, planning departments, utility companies, the defence industry and consultancies.

Employability

This degree offers a considerable range of transferable practical skills as well as instilling a more general inferential rigour which is attractive to almost any potential employer. Graduates will be comfortable with a wide range of web-based, database-led, statistical and cartographic tasks. They will be able to operate both commercial and oper source software, will be able to think clearly about both scientific and humanities-led issues, and will have a demonstrable track record of both individual research and group-based collaboration.

Why study this degree at UCL?

The teaching staff bring together a range and depth of expertise that enables students to develop specialisms including industry-standard and open-source GIS, advanced spatial and temporal statistics, computer simulation, geophysical prospection techniques and digital topographic survey.

Most practical classes are held in the institute's Archaeological Computing and GIS laboratory. This laboratory contains Linux servers, ten powerful workstations running Microsoft Windows 10, a digitising table and map scanner.

Students benefit from the collaborations we have established with other institutions and GIS specialists in Canada, Germany, Italy and Greece together with several commercial archaeological units in the UK.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Institute of Archaeology

73% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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