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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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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 cities of today and tomorrow.

Degree information

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.

Careers

This programme gives students the skillset 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.

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 newly-created Smart Cities Board at the Greater London Authority to advise the Mayor on developments.

Read less
This new 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 new 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.

Degree information

Students are equipped with key quantitative practical skills as 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.

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 area 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.

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 newly created Smart London Board at the Greater London Authority to advise the Mayor of London on developments.

Read less
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.

Degree information

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
Dissertation

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.

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 of 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 from this programme 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 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.

Read less
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation. Read more
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation.

The Geographical Information Systems (GIS) pathway aims to provide students with a broadly based postgraduate qualification in the field of GIS. Importantly, it offers students choice in the selection of their application area (with a range of units available). The pathway helps students to develop an in-depth knowledge of the issues involved in applying GIS to solving spatial problems with an understanding of the constraints imposed by the application area(s) and the interactions between data, methods, people, and technology.

The first year of study (equivalent to PgC in GIS) involves three core units:

Foundations of GIS -
This unit provides an introduction to Geographical Information Systems (GIS) from conceptual, theoretical, and practical perspectives. Students will learn about the different methods used in geographic encoding and spatial data modelling before employing such datasets in a software environment. The unit concludes with a review of contemporary issues in GIS. Key elements of the curriculum include: Origins of GIS; Representation, Modelling and Geovisualisation; Software Skills; GIS: Today and Tomorrow.

Spatial Data Infrastructures -
Spatial data is key to any GIS project. This unit investigates how spatial data is sourced and also aims to provide students with the requisite knowledge and practical skills to identify and evaluate, against recognised national and international quality standards, spatial data for use in GI-based projects. Key elements of the curriculum include: Spatial Data; Data Standards and Infrastructures; Sourcing Spatial Data; Data Quality; Evaluating Fitness for Purpose.

Databases -
GIS are fundamentally information systems which provide specialist facilities for the creation, storage and manipulation of spatial and attribute data. Much of the functionality offered by GIS software is shared with conventional database software. Indeed, most GIS - at their core - have a conventional database management system (DBMS) around which spatial functionality has been wrapped. It is essential that GIS specialists have a thorough understanding of database theory, design and implementation. Key elements of the curriculum include: Why Databases?; Relational Databases; Critiquing Relational Databases; Implementation and Interrogation.

The second year of study (equivalent to the PgD in GIS) involves one core and two elective units:

Methods in GIS (core) -
The concepts, theories and methods behind the application of GIS are examined in detail. The unit explores research design, data analysis and interpretation and presentation. Special focus is given to methods of spatial analysis and their implementation using GIS software. Key elements of the curriculum include: Research Design; Qualitative and Quantitative Techniques; Fundamentals of Spatial Analysis; Recent Advances in Spatial Analysis.

Two elective units are chosen from:

Distributed GIS -
This unit discusses the most vibrant and rapidly developing area of geospatial technology. Desktop GIS packages are increasingly looking like the specialist packages for serious users that, in truth, they always were. Now, for the very large majority of people who really only want to look at the location of things, we can offer WebGIS systems that deliver what they need directly into their web-browsers. This unit explains the concepts and methods of Internet GIS, development and its applications. Key elements of the curriculum include: From Desktop to Distributed GI Services; Technologies in Distributed GIS; Building the GeoWeb; Tutorials.

Environmental Applications of GIS -
GIS and related technologies such as remote sensing have been widely employed in environmental applications for almost forty years. The advent of satellite remote sensing allowed reliable synoptic data to be available to scientists who have developed numerous models. This together with the decision-making tools and spatially-referenced framework of GIS offers significant support to researchers investigating different environmental phenomena. Data from remote sensing, GPS and other sources provide a valuable input into GIS models for environmental monitoring, modelling and prediction. This unit introduces case study examples of how GIS and related technologies can be used in environmental applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Applicability and benefits of GIS; Practical Problem Solving and Evaluation using techniques such as Terrain Analysis, Multicriteria Evaluation, Landscape Metrics etc.

Remote Sensing for GIS Applications -
This unit provides students with an introduction to the principles of remote sensing and explores its role in data gathering/information extraction for GIS applications. Key elements of the curriculum include: Principles of Remote Sensing; Satellite Systems; Quantitative Data; GIS Integration.

Social Applications of GIS -
Where an investigation into social, economic, political, and cultural characteristics and phenomena is required, GIS provides a powerful tool. For social applications such as crime mapping and healthcare resource management, GIS can be used effectively to help model, monitor and enable (spatial) decision making based on existing criteria. Social systems are often highly organised and complex - GIS allows this complexity to be effectively distilled into an abstraction representing the most causally related behaviour. This unit introduces case tudy examples of how GIS can be used in social applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Exemplars of GIS use in Social Applications, e.g. health, crime and urban transportation; Evaluation of the Benefits of GIS; Practical Problem Solving techniques.

Spatial Databases and Programming -
The importance of programming and GIS as part of a larger system, which involves spatial databases, software development and programme coding, has been increasingly realised in GIS practice. This unit aims to develop your geospatial skills in building enterprise oriented databases (e.g. geo-database and server) and creating application-oriented GIS models through programming. This unit also helps you to critically evaluate the issues and trends in enterprise GIS and GIS application development from the perspective of software engineering and geospatial technology. Key elements of the curriculum include: Spatial Databases; Design and Quality; Programming; Tutorials.

The final year of study (the MSc stage) requires the student to design and undertake a substantial and unique independent research project, to be presented as an academic dissertation (max. of 15,000 words).

Read less
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation. Read more
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation.

The Applied Geographical Information Systems (Applied GIS) pathway aims to develop students in-depth knowledge of GIS-based methods for monitoring the social/human and natural environments. It will also help develop the student's understanding of the spatial interaction of social/human and environmental factors. Importantly, it seeks to increase the student's capability to extract social/human and/or environmental information from a variety of sources, such as remotely sensed data, and to undertake analysis and assessment using appropriate methods within a GIS framework.

The first year of study (equivalent to PgC in GIS) involves three core units:

Foundations of GIS -
This unit provides an introduction to Geographical Information Systems (GIS) from conceptual, theoretical, and practical perspectives. Students will learn about the different methods used in geographic encoding and spatial data modelling before employing such datasets in a software environment. The unit concludes with a review of contemporary issues in GIS. Key elements of the curriculum include: Origins of GIS; Representation, Modelling and Geovisualisation; Software Skills; GIS: Today and Tomorrow.

Spatial Data Infrastructures -
Spatial data is key to any GIS project. This unit investigates how spatial data is sourced and also aims to provide students with the requisite knowledge and practical skills to identify and evaluate, against recognised national and international quality standards, spatial data for use in GI-based projects. Key elements of the curriculum include: Spatial Data; Data Standards and Infrastructures; Sourcing Spatial Data; Data Quality; Evaluating Fitness for Purpose.

Databases -
GIS are fundamentally information systems which provide specialist facilities for the creation, storage and manipulation of spatial and attribute data. Much of the functionality offered by GIS software is shared with conventional database software. Indeed, most GIS - at their core - have a conventional database management system (DBMS) around which spatial functionality has been wrapped. It is essential that GIS specialists have a thorough understanding of database theory, design and implementation. Key elements of the curriculum include: Why Databases?; Relational Databases; Critiquing Relational Databases; Implementation and Interrogation.

The second year of study (equivalent to the PgD in GIS) involves one core and two elective units:

Methods in GIS (core) -
The concepts, theories and methods behind the application of GIS are examined in detail. The unit explores research design, data analysis and interpretation and presentation. Special focus is given to methods of spatial analysis and their implementation using GIS software. Key elements of the curriculum include: Research Design; Qualitative and Quantitative Techniques; Fundamentals of Spatial Analysis; Recent Advances in Spatial Analysis.

Two elective units are chosen from:

Environmental Applications of GIS -
GIS and related technologies such as remote sensing have been widely employed in environmental applications for almost forty years. The advent of satellite remote sensing allowed reliable synoptic data to be available to scientists who have developed numerous models. This together with the decision-making tools and spatially-referenced framework of GIS offers significant support to researchers investigating different environmental phenomena. Data from remote sensing, GPS and other sources provide a valuable input into GIS models for environmental monitoring, modelling and prediction. This unit introduces case study examples of how GIS and related technologies can be used in environmental applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Applicability and benefits of GIS; Practical Problem Solving and Evaluation using techniques such as Terrain Analysis, Multicriteria Evaluation, Landscape Metrics etc.

Remote Sensing for GIS Applications -
This unit provides students with an introduction to the principles of remote sensing and explores its role in data gathering/information extraction for GIS applications. Key elements of the curriculum include: Principles of Remote Sensing; Satellite Systems; Quantitative Data; GIS Integration.

Social Applications of GIS -
Where an investigation into social, economic, political, and cultural characteristics and phenomena is required, GIS provides a powerful tool. For social applications such as crime mapping and healthcare resource management, GIS can be used effectively to help model, monitor and enable (spatial) decision making based on existing criteria. Social systems are often highly organised and complex - GIS allows this complexity to be effectively distilled into an abstraction representing the most causally related behaviour. This unit introduces case tudy examples of how GIS can be used in social applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Exemplars of GIS use in Social Applications, e.g. health, crime and urban transportation; Evaluation of the Benefits of GIS; Practical Problem Solving techniques.

The final year of study (the MSc stage) requires the student to design and undertake a substantial and unique independent research project, to be presented as an academic dissertation (max. of 15,000 words).

Read less
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation. Read more
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation.

The Geographical Information Systems (GIS) pathway aims to provide students with a broadly based postgraduate qualification in the field of GIS. Importantly, it offers students choice in the selection of their application area (with a range of units available). The pathway helps students to develop an in-depth knowledge of the issues involved in applying GIS to solving spatial problems with an understanding of the constraints imposed by the application area(s) and the interactions between data, methods, people, and technology.

The first year of study (equivalent to PgC in GIS) involves three core units:

Foundations of GIS -
This unit provides an introduction to Geographical Information Systems (GIS) from conceptual, theoretical, and practical perspectives. Students will learn about the different methods used in geographic encoding and spatial data modelling before employing such datasets in a software environment. The unit concludes with a review of contemporary issues in GIS. Key elements of the curriculum include: Origins of GIS; Representation, Modelling and Geovisualisation; Software Skills; GIS: Today and Tomorrow.

Spatial Data Infrastructures -
Spatial data is key to any GIS project. This unit investigates how spatial data is sourced and also aims to provide students with the requisite knowledge and practical skills to identify and evaluate, against recognised national and international quality standards, spatial data for use in GI-based projects. Key elements of the curriculum include: Spatial Data; Data Standards and Infrastructures; Sourcing Spatial Data; Data Quality; Evaluating Fitness for Purpose.

Databases -
GIS are fundamentally information systems which provide specialist facilities for the creation, storage and manipulation of spatial and attribute data. Much of the functionality offered by GIS software is shared with conventional database software. Indeed, most GIS - at their core - have a conventional database management system (DBMS) around which spatial functionality has been wrapped. It is essential that GIS specialists have a thorough understanding of database theory, design and implementation. Key elements of the curriculum include: Why Databases?; Relational Databases; Critiquing Relational Databases; Implementation and Interrogation.

The second year of study (equivalent to the PgD in GIS) involves one core and two elective units:

Methods in GIS (core) -
The concepts, theories and methods behind the application of GIS are examined in detail. The unit explores research design, data analysis and interpretation and presentation. Special focus is given to methods of spatial analysis and their implementation using GIS software. Key elements of the curriculum include: Research Design; Qualitative and Quantitative Techniques; Fundamentals of Spatial Analysis; Recent Advances in Spatial Analysis.

Two elective units are chosen from:

Distributed GIS -
This unit discusses the most vibrant and rapidly developing area of geospatial technology. Desktop GIS packages are increasingly looking like the specialist packages for serious users that, in truth, they always were. Now, for the very large majority of people who really only want to look at the location of things, we can offer WebGIS systems that deliver what they need directly into their web-browsers. This unit explains the concepts and methods of Internet GIS, development and its applications. Key elements of the curriculum include: From Desktop to Distributed GI Services; Technologies in Distributed GIS; Building the GeoWeb; Tutorials.

Environmental Applications of GIS -
GIS and related technologies such as remote sensing have been widely employed in environmental applications for almost forty years. The advent of satellite remote sensing allowed reliable synoptic data to be available to scientists who have developed numerous models. This together with the decision-making tools and spatially-referenced framework of GIS offers significant support to researchers investigating different environmental phenomena. Data from remote sensing, GPS and other sources provide a valuable input into GIS models for environmental monitoring, modelling and prediction. This unit introduces case study examples of how GIS and related technologies can be used in environmental applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Applicability and benefits of GIS; Practical Problem Solving and Evaluation using techniques such as Terrain Analysis, Multicriteria Evaluation, Landscape Metrics etc.

Remote Sensing for GIS Applications -
This unit provides students with an introduction to the principles of remote sensing and explores its role in data gathering/information extraction for GIS applications. Key elements of the curriculum include: Principles of Remote Sensing; Satellite Systems; Quantitative Data; GIS Integration.

Social Applications of GIS -
Where an investigation into social, economic, political, and cultural characteristics and phenomena is required, GIS provides a powerful tool. For social applications such as crime mapping and healthcare resource management, GIS can be used effectively to help model, monitor and enable (spatial) decision making based on existing criteria. Social systems are often highly organised and complex - GIS allows this complexity to be effectively distilled into an abstraction representing the most causally related behaviour. This unit introduces case tudy examples of how GIS can be used in social applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Exemplars of GIS use in Social Applications, e.g. health, crime and urban transportation; Evaluation of the Benefits of GIS; Practical Problem Solving techniques.

Spatial Databases and Programming -
The importance of programming and GIS as part of a larger system, which involves spatial databases, software development and programme coding, has been increasingly realised in GIS practice. This unit aims to develop your geospatial skills in building enterprise oriented databases (e.g. geo-database and server) and creating application-oriented GIS models through programming. This unit also helps you to critically evaluate the issues and trends in enterprise GIS and GIS application development from the perspective of software engineering and geospatial technology. Key elements of the curriculum include: Spatial Databases; Design and Quality; Programming; Tutorials.

The final year of study (the MSc stage) requires the student to design and undertake a substantial and unique independent research project, to be presented as an academic dissertation (max. of 15,000 words).

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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.

Degree information

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 courses 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). There are no optional modules on this programme.

Core modules
-Data Science for Spatial Systems
-Geographic Information Systems and Science
-Introduction to Programming
-Quantitative Methods
-Group Mini Project: Digital Visualisation
-Dissertation

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.

Careers

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

Employability
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 PhD partners, Knowledge Transfer Partnerships and substantial outreach, CASA is well-connected to the world outside academia.

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 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 the institutions and companies in new directions and changing cultures across the sector.

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Programme description. Ecological Economics focuses on how to make sustainability and environmental management work in practice by applying economic principles. Read more

Programme description

Ecological Economics focuses on how to make sustainability and environmental management work in practice by applying economic principles.

This programme is run in collaboration with Scotland’s Rural College (SRUC). Graduates with postgraduate training in this area are in greater demand than ever before in business, industry and government.

This programme is affiliated with the University's Global Environment & Society Academy.

Applicants who applied after 12 December 2016 receiving an offer of admission, either unconditional or conditional, may be required to pay a tuition fee deposit. Please see the fees and costs section for more information.

Programme structure

You will learn through lectures, group work, informal group discussion and individual study, as well as the spring study tour. After two semesters of taught courses, you will begin work on your individual dissertations. You will be able to choose from a wide selection of option courses to suit individual interests and career goals.

Compulsory courses typically will be:

  • Foundations in Ecological Economics
  • Applications in Ecological Economics
  • Dissertation

Option courses:

In consultation with the Programme Director, you will choose from a range of option courses^. We particularly recommend:

  • Human Dimensions of Environmental Change and Sustainability
  • Principles of Environmental Sustainability
  • Project Appraisal
  • Ecosystem Dynamics and Functions
  • Understanding Environment and Development
  • Marine Systems and Policies
  • Atmospheric Quality and Global Change
  • Culture, Ethics & Environment
  • Encountering Cities
  • Frameworks to Assess Food Security
  • Integrated Resource Management
  • International Development in a Changing World
  • Introduction To Spatial Analysis
  • Principles of GIS
  • Society and Development
  • Soil Protection and Management
  • Environmental Impact Assessment
  • Climate Change and Corporate Strategy
  • Participation in Policy and Planning
  • Waste Reduction and Recycling
  • Water Resource Management
  • Political Ecology
  • Case Studies in Sustainable Development
  • Management of Sustainable Development
  • Ecosystem Values and Management
  • Forests and Environment
  • Further Spatial Analysis
  • Integrated Resource Planning
  • Interrelationships in Food Systems
  • Introduction to Environmental Modelling
  • Sustainability of Food Production
  • Understanding the City

Courses are offered subject to timetabling and availability and are subject to change

Field trip

To experience and understand conflict between ecosystem conservation and human development needs at ground level, this programme typically includes a unique 7-10-day study tour, usually overseas and in the developing world (previous destinations have included South Africa, Kenya and Tanzania).

Career opportunities

Being able to identify ecological economic problems, and apply economic principles and methods to solve these problems is increasingly valued by employers.

Our graduates are working in a variety of sectors, including environmental consultancies; international and governmental agencies; NGOs; financial institutions; multinationals; environmental education and research.

Additionally around a quarter of our masters students go on to doctoral research programmes.

Student experience

Would you like to know what it’s really like to study at the School of GeoSciences?

Visit our student experience blog where you can find articles, advice, videos and ask current students your questions.



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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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This programme provides an understanding of the problems posed by population changes and health dynamics in the contemporary world, giving students a deep understanding of population and health trends and competing explanations. Read more
This programme provides an understanding of the problems posed by population changes and health dynamics in the contemporary world, giving students a deep understanding of population and health trends and competing explanations.

The programme covers the issues of population and health from an interdisciplinary perspective, including geographic, demographic, sociological, environmental and epidemiological approaches to the topics. Students receive a solid methodological training in, for example:

- Data Analysis Strategies and Techniques: Social survey analysis, Textual analysis, Descriptive statistics, Multivariate regression, Logistic regression;
- Demographic Theory and Analysis: Life table analysis, Cohort component projection method, Spatial microsimulation
- Geographic Information Systems: Computer mapping (GIS), Data modelling;
- Spatial Analysis: Statistics as social constructs, Handling hierarchical data, Geodemographics, Spatial autocorrelation, Geographically Weighted Regression, Spatial interaction modelling, Small area estimation;
- Survival and Event History Analysis: Time-to-event data, Product-limit method, Regression methods for duration data.

The core course team are based in the School of Environmental Sciences at the University of Liverpool, which has an international reputation in population studies.

Aims of the course

To provide:

- an understanding of the determinants of population and health dynamics in developed and in developing countries, and associated theories;
- an analytical skills base for the collection, management and use of population and health data;
- the opportunity to apply the knowledge and techniques of demographic, longitudinal and spatial analysis to the study of a particular population or health problem;
- training in a range of competences in population and health analysis as a platform for public and private sector employment or for more specialist (PhD) research in the field.

The course will be attractive to those with an interest in population and health studies, including:

- recent graduates interested in the issues of population ageing and health inequalities;
- overseas students, particularly those who are interested in the links between rapid societal and environmental changes and health dynamics;
- intending PhD students, to gain relevant research training;
- in-service professionals already working in the health sector who would benefit from advanced training.

Part-time study over two years is an option.

Read less
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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The degree is the leading Master's programme in remote sensing available in the UK. It offers the opportunity to study at an advanced level the ways in which remote sensing instruments in space and on aircraft may be used to collect environmental information about the Earth at a range of scales. Read more
The degree is the leading Master's programme in remote sensing available in the UK. It offers the opportunity to study at an advanced level the ways in which remote sensing instruments in space and on aircraft may be used to collect environmental information about the Earth at a range of scales.

Degree information

Students develop an all-round knowledge of remote sensing, including fundamental principles, current technological developments and applications to local, regional and global problems. They gain highly developed, marketable practical skills to enable them to take leading roles in academic, government and industrial sectors.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules in term one (60 credits), four optional modules in term two (60 credits) and a research project in term three (60 credits). A Postgraduate Certificate (60 credits), full-time 12 weeks, flexible study up to two years is offered.

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

Optional modules
-Terrestrial Carbon: Modelling and Monitoring
-Global Monitoring of Environment and Society
-Airborne Data Acquisition
-Image Understanding
-Ocean and Coastal Zone Management
-Terrestrial Data Acquisition
-Climate Modelling

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, individual and group coursework, and compulsory computer training. Student learning is supported by tutorials, transferable skills training and research supervision throughout the year. Assessment is through unseen written examinations, coursework, dissertation and an oral presentation.

Careers

This MSc will appeal to individuals interested in developing research training while acquiring vocational skills for work in remote sensing related positions in public and private sector institutions. The quantitative skills the course provides have proved attractive for 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 remote sensing and spatial analysis but also areas such as conservation and management, data analysis, computing, policy and commercial application.

Remote Sensing graduates find jobs in diverse companies: from consultancies carrying out environmental and spatial analysis through to major international companies, or government and government-affiliated agencies. The programme is also suitable training for those wishing to undertake higher level work as a prelude to a PhD in remote sensing.

Top career destinations for this degree:
-Civil Engineer, Irrigation Department
-Remote Sensing and Forest Ecology, The University of Edinburgh
-IT Operations Analyst, Ford
-Image Analyst, Civil Service
-PhD Geography, University of Cambridge

Employability
The range of generic, transferable skills provided by the degree programme have proved to be attractive to a range of employers. Students gain a fundamental understanding of the key principles of remote sensing and data handling and analysis, as well as the ability to communicate their ideas. Such skills and knowledge are applicable across a wide range of careers. The long heritage of the programme - over 30 years - and its interdisciplinary, intercollegiate nature provides students with a unique perspective, not just from UCL, but across the wider world of remote sensing 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.

A distinctive feature of the programme is its intercollegiate nature which exposes students to a range of university departments and expertise across fields including terrestrial vegetation and carbon stocks, solid earth and geology, fire impacts, new sensor technology and ocean processes.

The degree is integrated with other Geography MSc programmes providing greater flexibility when choosing optional modules.

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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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