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Masters Degrees (Spatial Science)

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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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Overview. Teaching you to become a spatial planner who can engage with EU policies, cooperate with planners across borders and coordinate with other sectors like environment and economic development. Read more

Overview

Teaching you to become a spatial planner who can engage with EU policies, cooperate with planners across borders and coordinate with other sectors like environment and economic development.

The influence of the European Union on spatial and environmental planning in the member states and regions is ever increasing. The Master’s in European Spatial and Environmental Planning (ESEP) offers a solid theoretical foundation to analyse the EU policies for environment, renewable energy and regional development and to understand how they influence spatial planning policies and practices. This programme also offers training in research methodology and teaches how to conduct meaningful comparisons.

Although the main focus of ESEP lies on the European Union and its policies and influences, the programme also addresses international policies and legislation that influence spatial planning, notably in relation to climate change. We look at the different positions member states and influential global players have on contemporary themes and critically discus how solutions can be found that would benefit all. You’ll better understand the multi-level system of governance in the integrated European Union, how EU policies are made and the influence they have on spatial planning systems, and how professionals can engage in European policy debates.

See the website http://www.ru.nl/masters/esep

Why study European Spatial and Environmental Planning at Radboud University?

- This programme looks beyond domestic policies and beyond spatial and environmental planning within one country, and acknowledges the significant role the EU nowadays plays in our policies and practices.

- This programme focuses on the influence of the EU and international policies and how to cooperate with planners in other countries. It also teaches you how different sectors are interlinked in the field of spatial planning.

- This is an interdisciplinary programme as it is jointly offered by the Master’s programmes in Spatial Planning and of the Political and in Social and Political Sciences of the Environment. This also means you can choose with which MSc degree you would like to graduate (programme outlines are identical).

- You can mould this programme to suit your interests and future career plans through the choice of assignment topics and your Master’s thesis and a possible internship in the second semester.

- This programme is policy-oriented with links to planning practice. There are opportunities to prepare the thesis during an internship or to combine it with a stay abroad. We already have a wide network of partners for those wanting to go abroad.

- This Master’s challenges and stimulates students, who work in small groups on contemporary themes and learn to think critically about new developments.

Career prospects

There is great demand for spatial and environmental planners with a thorough knowledge of the European and international policy context. Our graduates work in European institutions, national and regional public authorities, consultancies and NGOs dealing with spatial planning, regional policy and environmental policy. They work in positions as researchers, consultants, project managers and policy advisors. Because of the international orientation and the thorough academic foundation of the Master's programme, graduates are also well prepared to pursue a PhD degree in the Netherlands or another European country.

- Choosing your expertise

During your application process you’ll choose whether you want to do this specialisation as one of the following Master’s programmes:

- Master’s in Spatial Planning

- Master’s in Environment and Society Studies

This means that you will graduate with an MSc in either Spatial Planning or in the Social and Political Sciences of the Environment, even though the study programme is identical. The diploma supplement accompanying your degree certificate will state that you have followed the ESEP specialisation and the courses you passed.

Experience shows that the choice of MSc degree will likely reflect your personal preferences, but because the programme outlines are identical it does not influence your career prospects.

More important for your future career aspirations are the topic of your Master’s thesis and possible internship. We therefore offer our students a large amount of freedom in choosing their thesis topic within the field of spatial and environmental planning. We also have a broad European network which allows us to help you go abroad if that will help you acquire the knowledge you need and the expertise you desire.

Our research in this field

The Radboud University department in Geography, Spatial Planning and Environment has developed its own profile, which is supported with internationally recognised research. The emphasis is on the social science and policy studies approach to environmental policy and spatial planning. We use approaches from EU studies, governance studies, political sciences, economics, sociology and other related approaches in our research.

All researchers of our department are affiliated with the Institute for Management Research (IMR). Central to the IMR research are six Multidisciplinary Research Groups bringing together expertise from different disciplines and addressing complex societal issues. In these groups, interaction with societal actors takes place, needs for both fundamental knowledge and knowledge from society are articulated, and both conceptual and empirical research undertaken. The Multidisciplinary Research Groups in which researchers from Geography, Spatial Planning and Environment participate are:

- Europeanization of Policy and Law

- Gender and Power in Politics and Management

- Global-Local Divides and Connections

- Governance and innovations in social services

- Innovation and Entrepreneurship in Ecosystems

- Responsible Decision Making

Thesis topics

As a Master’s student of European Spatial and Environmental Planning you have plenty of freedom to choose your own Master’s research topic in order to create your own expertise.

See the website http://www.ru.nl/masters/esep

Radboud University Master's Open Day 10 March 2018



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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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MSc Geo-Information Science. Do you want to contribute to solving multidisciplinary and complex issues using Geo- information science, geo-informatics and remote sensing? Then the master's Geo- Information Science is a perfect match for you!. Read more

MSc Geo-Information Science

Do you want to contribute to solving multidisciplinary and complex issues using Geo- information science, geo-informatics and remote sensing? Then the master's Geo- Information Science is a perfect match for you!

The increasing complexity of our society demands for specialists who can collect, manage, analyse and present spatial data using state-of-the-art methods and tools. At Wageningen University & Research we offer a unique, top-quality programme that blends geo-information science methods, technologies and applications within environmental and life sciences for a changing world. Our Geo-information Science graduates usually have a job waiting for them on graduation. Read more about the background of the programme

Specialisations

There are no formal specialisations in the Geo-Information Science programme. You can specialise by taking advanced courses in GIS and/or Remote Sensing, and by selecting courses in a range of application fields or geo-information technology. Furthermore, you develop your Geo-information Science profile by completing a major research thesis in one of the following research fields:

Your choice of internship location is another factor in developing your profile and specialisation.

Your future career

The increasing demand for digital geographical information has resulted in a phenomenal growth in the discipline of Geo-Information Science. The demand for geo-information is the result of an increase in environmental problems and the need to manage the natural and the social environment.The increasing demand for digital geographical information has resulted in a phenomenal growth in the discipline of Geo-Information Science.

The overview below provides more detailed information about the fields and positions taken by our alumni on graduation:

In Research

  • PhD
  • Researcher
  • Research Assistant

In Consultancy

  • Remote Sensing Specialist
  • Consultant
  • GIS adviser
  • Geo-information Manager
  • Geo-information Analist

In Education

  • Lecturer

Read more about career perspectives and opportunities after finishing the programme.

Related programmes:

MSc Geographical Information Management and Applications

MSc Forest and Nature Conservation 

MSc Landscape Architecture and Planning

MSc Environmental Sciences 

MSc Biosystems Engineering



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The Master of Science (Computer Science) is a research training program that gives students the opportunity to undertake a substantive research project in a field of choice, as well as a broad range of coursework subjects including a professional skills component, as a pathway to PhD study, or to the workforce. Read more

The Master of Science (Computer Science) is a research training program that gives students the opportunity to undertake a substantive research project in a field of choice, as well as a broad range of coursework subjects including a professional skills component, as a pathway to PhD study, or to the workforce.

The technologies covered in the program are changing the way we live our lives, especially in the health sciences, and in social infrastructures delivered by web-based tools. 

In addition to a broad grounding across the breadth of advanced computer science, you will develop specialist knowledge in at least one of the following areas: knowledge systems; programming languages and distributed computing; information systems; mathematics; statistics; spatial information science; or linguistics.

Upon completion of this course, students should have:

  • A broad grounding across the breadth of advanced computer science;
  • Specialist knowledge in (at least) one of knowledge systems, programming languages and distributed computing;
  • Aattained research maturity, including the ability to independently carry out a research survey, and either: plan, execute, interpret and report on a computational experiment; or develop a new theoretical advance and report on the development; or both.

CAREER OUTCOMES

As a computer science graduate, you will be well prepared for a career in research and industry, and/or further PhD studies. 

As a graduate, you may find a rewarding career in:

  • Applications programmers
  • Information architects
  • Systems and cybersecurity analysts
  • User-experience designers
  • Software designers and engineers
  • Project managers
  • Computational research experts


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Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. Read more

Overview

Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. It takes an interdisciplinary approach to focus on spatio-temporal concepts, methods, and tools in the development of computational and visual frameworks from which to explore the past and better understand our present.

The MSc in Spatial eHumanities has been jointly designed by An Foras Feasa and the National Centre for Geocomputation to provide both a historical background and theoretical grounding to the field while providing students with solid skills in contemporary digital methods and technologies, including Geographic Information Systems and 3D computer graphics modelling. It is also excellent preparation for those wishing to pursue a computationally-enabled PhD in the arts, humanities, social science, or digital cultural heritage.

Students have opportunities to:

Learn how to use open source and proprietary geographical information systems (GIS) software such as QGIS and ArcGIS;
Become familiar with standards and methods common to digital humanities including XML, TEI, and Dublin Core;
Learn how to create virtual worlds and acquire an expertise in computer graphic design for cultural heritage;
Become actively involved in current Spatial eHumanities projects;
Learn how to encode literary and historical sources, as well as newer sources (such as social media) to identify and visualise spatial and temporal networks and patterns;
Gain practical project-based experience and project management skills by becoming an intern in a cultural heritage institution, a commercial organisation, or a digital spatial project;
Learn programming languages and apply these to spatial and temporal data in the various fields of the arts/humanities, archaeology, and geography.
The course is delivered in our state-of-the-art facilities in An Foras Feasa and National Centre for Geocomputation (Iontas Building, North Campus), which include the MakersLab for Computational Imaging and 3D Printing projects, the Digital Humanities Lab with high-end desktop computers for computer graphics and image processing, the Green Screen Studio for audio-visual recording, and the GIS Lab

Course Structure

90 ECTS are needed to complete the Masters. The course is comprised of the following elements:

Required Taught Modules: 40 ECTS*

Elective Taught Modules: 20 ECTS

Project and Dissertation: 30 ECTS

*Required modules include 1) Mapping and Modelling Space and Time; 2) Intro to Geographical Information Science; 3) Digital Heritage: Theories, Methods and Challenges; 4) Digital Humanities Practicum (10 ECTS each). All modules are integral to the building of practical and theoretical knowledge of the discipline, its development and its intersection with public projects. The Digital Humanities Practicum module guarantees students a work placement at a cultural heritage institution or on a Digital Humanities project.

Part-time students are advised to register for ‘Mapping and Modelling Space and Time’ in the first semester, while working for the ‘Digital Humanities Practicum’ in the second year of the course.

Applicants with little previous programming experience, are advised to register for ‘Structured Programming’, an intensive 3-week 90-hour pre-semester laboratory-based programming course.

Elective Modules in the second semester provide students with specialised skills either on geocomputation or 3D modelling. Students who don’t register for the pre-semester structured programming module can register for both geocomputation and 3D modelling-related modules therefore getting a much broader specialisation in the field of Spatial eHumanities.

The project and dissertation will be undertaken over the last semester of the course and will be individually supervised or co-supervised by an academic from one or both of the contributing departments.

For students who wish not to write a final thesis, this course is also offered as a postgraduate diploma in Spatial eHumanities.

Career Options

This course would be attractive to professionals in the cultural heritage and library sectors to update existing skills to work specifically with spatial data. It would also be attractive to computer scientists wishing to work with new datasets being created by the cultural heritage sector as well as organisations such as Google (e.g. Google Books, Google Cultural Institute, and Google Maps). This MSc would also be attractive to students wishing to go into fields such as GIS and spatial consultancy, government departments that work with spatial data (e.g. Office of Public Works). Potential graduates would also be skilled in areas of content and data analysis and recommender systems in organisations such as TripAdvisor and Amazon.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MH56F/MH57F

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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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.

Read less
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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In your first year you will undertake a range of coursework units to gain knowledge and skills in the foundation and applications of GIScience. Read more
In your first year you will undertake a range of coursework units to gain knowledge and skills in the foundation and applications of GIScience.

In your second year you will learn to effectively conduct and manage research before completing your own significant research project. Upon graduation, you are eligible for membership of the Royal Institute of Chartered Surveyors (RICS) and the Surveying and Spatial Science Institute (SSSI). This course offers the flexibility and convenience of studying on-campus, fully online or both.

Professional recognition

Graduates are eligible for membership of the Surveying & Spatial Sciences Institute (SSSI).

Career opportunities

Graduates pursue careers in geographic information science and the broader spatial science field. There is strong demand for geographical information science graduates in an increasingly diverse range of industry and government sectors.

Credit for previous study

Applications for recognition of prior learning (RPL) are assessed on an individual basis. Recognition of prior learning is not normally granted for optional units which are intended to provide students with a broader and deeper insight into the knowledge, skills and applications of geographic information science.

Notes

The geographic information stream is available both on and off-campus. The surveying and mapping stream is available on-campus with selected units available off-campus. Some units may be offered in an intensive block format.

International applicants

Minimum English language entry requirements: IELTS Writing- 6.0, Speaking- 6.0, Reading- 6.0, Listening- 6.0, Overall band score- 6.5. International students may need to substitute a communication unit for one of the specialist optional units, subject to an English communication diagnostic test.

2016 Curtin International Scholarships: Merit Scholarship

Curtin University is an inspiring, vibrant, international organisation, committed to making tomorrow better. It is a beacon for innovation, driving advances in technology through high-impact research and offering more than 100 practical, industry-aligned courses connecting to workplaces of tomorrow.

Ranked in the top two per cent of universities worldwide in the Academic Ranking of World Universities 2015, the University is also ranked 25th in the world for universities under the age of 50 in the QS World University Rankings 2015 Curtin also received an overall five-star excellence rating in the QS stars rating.

Curtin University strives to give high achieving international students the opportunity to gain an internationally recognised education through offering the Merit Scholarship. The Merit Scholarship will give you up to 25 per cent of your first year tuition fees and if you enrol in an ELB program at Curtin English before studying at Curtin, you will also receive a 10 per cent discount on your Curtin English fees.

For full details and terms and conditions of this scholarship, please visit: curtin.edu/int-scholarships and click on Merit.

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Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. Read more

Overview

Spatial eHumanities is a truly interdisciplinary programme combining geocomputation, cultural heritage, design, and humanities/arts research. It takes an interdisciplinary approach to focus on spatio-temporal concepts, methods, and tools in the development of computational and visual frameworks from which to explore the past and better understand our present.

The Postgraduate Diploma in Spatial eHumanities has been jointly designed by An Foras Feasa and the National Centre for Geocomputation to provide both a historical background and theoretical grounding to the field while providing students with solid skills in contemporary digital methods and technologies, including Geographic Information Systems and 3D computer graphics modelling. It is also excellent preparation for those wishing to pursue a computationally-enabled PhD in the arts, humanities, social science, or digital cultural heritage.

Students have opportunities to:

Learn how to use open source and proprietary geographical information systems (GIS) software such as QGIS and ArcGIS;
Become familiar with standards and methods common to digital humanities including XML, TEI, and Dublin Core;
Learn how to create virtual worlds and acquire an expertise in computer graphic design for cultural heritage;
Become actively involved in current Spatial eHumanities projects;
Learn how to encode literary and historical sources, as well as newer sources (such as social media) to identify and visualise spatial and temporal networks and patterns;
Gain practical project-based experience and project management skills by becoming an intern in a cultural heritage institution, a commercial organisation, or a digital spatial project;
Learn programming languages and apply these to spatial and temporal data in the various fields of the arts/humanities, archaeology, and geography.
The course is delivered in our state-of-the-art facilities in An Foras Feasa and National Centre for Geocomputation (Iontas Building, North Campus), which include the MakersLab for Computational Imaging and 3D Printing projects, the Digital Humanities Lab with high-end desktop computers for computer graphics and image processing, the Green Screen Studio for audio-visual recording, and the GIS Lab.

Course Structure

60 ECTS are needed to complete the Diploma. The course is comprised of the following elements:

Required Taught Modules: 40 ECTS*

Elective Taught Modules: 20 ECTS

*Required modules include 1) Mapping and Modelling Space and Time; 2) Intro to Geographical Information Science; 3) Digital Heritage: Theories, Methods and Challenges; 4) Digital Humanities Practicum (10 ECTS each). All modules are integral to the building of practical and theoretical knowledge of the discipline, its development and its intersection with public projects. The Digital Humanities Practicum module guarantees students a work placement at a cultural heritage institution or on a Digital Humanities project.

Applicants with little previous programming experience, are advised to register for ‘Structured Programming’, an intensive 3-week 90-hour pre-semester laboratory-based programming course which takes place in late August running into early September.

Elective Modules in the second semester provide students with specialised skills either on geocomputation or 3D modelling. Students who don’t register for the pre-semester structured programming module can register for both geocomputation and 3D modelling-related modules therefore getting a much broader specialisation in the field of Spatial eHumanities.

Career Options

This course would be attractive to professionals in the cultural heritage and library sectors to update existing skills to work specifically with spatial data. It would also be attractive to computer scientists wishing to work with new datasets being created by the cultural heritage sector as well as organisations such as Google (e.g. Google Books, Google Cultural Institute, and Google Maps). This MSc would also be attractive to students wishing to go into fields such as GIS and spatial consultancy, government departments that work with spatial data (e.g. Office of Public Works). Potential graduates would also be skilled in areas of content and data analysis and recommender systems in organisations such as TripAdvisor and Amazon.

How To Apply

Online application only http://www.pac.ie/maynoothuniversity

PAC Code
MH52F/MH53F

The following documents should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Find information on Scholarships here https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/fees-funding-scholarships

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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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This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges. The programme provides students with the knowledge, technical ability and skills for leadership roles in the fields of business analytics and data science. Read more

This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges. The programme provides students with the knowledge, technical ability and skills for leadership roles in the fields of business analytics and data science.

About this degree

The programme is designed to give students multidisciplinary skills in computing (i.e. programming, big data), analytics (i.e. data mining, machine learning, computational statistics, complexity), and business analysis. Emphasis will be on business problem framing, leveraging data as a strategic asset, and communicating complex analytical results to stakeholders.

Students undertake modules to the value of 180 credits.

The programme consists of three core modules (45 credits), four or five optional modules (60 to 75 credits), up to one elective module (15 credits) and a dissertation (60 credits).

Core modules

  • Business Strategy and Analytics (15 credits)
  • Data Analytics (15 credits)
  • Programming for Business Analytics (15 credits)

Optional modules

Students must choose a minimum of 60 and a maxuimum of 75 credits from Optional modules. A maximum of 15 credits may be taken from Electives.

  • Consulting Psychology (15 credits)
  • Consumer Behaviour (15 credits)
  • Data Science for Spatial Systems (15 credits)
  • Decision and Risk (15 credits)
  • Decision and Risk Analysis (15 credits)
  • Group Mini Project: Digital Visualisation (30 credits)
  • Introduction to Machine Learning (15 credits)
  • Mastering Entrepreneurship (15 credits)
  • Statistical Design of Investigations (15 credits)
  • Statistical Models and Data Analysis (15 credits)
  • Talent Management (15 credits)
  • Urban Simulation (15 credits)
  • Web Economics (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

During the summer students will undertake a work placement with a UCL industrial partner. The research and data analysis conducted during this placement will form the basis of a 10,000-word dissertation.

Teaching and learning

The programme is delivered through a combination of lectures by world-class academics and industry leaders, seminars, workshops, tutorials and project work. The programme comprises two terms of taught material, followed by examinations and then a project. Assessment is through unseen written examinations, coursework and the dissertation. 

Further details are available on UCL Computer Science website.

Further information on modules and degree structure is available on the department website: Business Analytics (with specialisation in Computer Science) MSc

Careers

Graduates of UCL Computer Science are particularly valued due to the department's international status and strong reputation for leading research. Recent graduate destinations include such companies as: IBM, Samsung, Microsoft, Price Waterhouse Coopers, Citibank.

Employability

This programme is designed to satisfy the need, both nationally and internationally, for exceptional data scientists and analysts. Graduates will be highly employable in global companies and high-growth businesses, finance and banking organisations, major retail and service companies, and consulting firms. They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful and predictive strategic asset. We expect our graduates to progress to leading and influential positions in industry.

Why study this degree at UCL?

UCL Computer Science is a global leader in research in experimental computer science. The department scored highest among UK universities for the quality of research in Computer Science and Informatics in the Research Excellence Framework (REF2014), with 96% regarded as 'world-leading' or 'internationally excellent'.

The department consists of a team of world-class academics specialising in big data, computational statistics, machine learning and complexity.

The programme aims to create the next generation of outstanding academics and industry pioneers, who will use data analysis to deliver real social and business impact.

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: Computer Science

96% 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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Spatial information is an essential and indispensable part of any economy’s infrastructure. Read more

Spatial information is an essential and indispensable part of any economy’s infrastructure. It is a rapidly expanding field, fuelled by the growth in information and communication technology, satellites for imaging and positioning, and the web and communication infrastructure for access to spatial data using smart devices.

This course focuses on the science and technology of measurement, mapping and visualisation. You will develop sought-after skills in areas, such as geographic information systems (GIS), three-dimensional computer visualisations, surveying and satellite and photographic image processing.

The Master of Engineering (Spatial) will lead to a formal qualification in spatial information at the Masters level.

CAREER OUTCOMES

Spatial Information Career Pathways [PDF]

The spatial information industry comprises remote sensing from satellites, aircraft and ground-based sensors, global positioning systems, conventional surveying, geographic information systems and all forms of data with a geographic coordinate. There is a growing demand for expertise in spatial information, along with a current labour shortage in Australia, ensuring graduates a range of well-paid employment options.

Career opportunities exist in roles relating to land and surveying, in environmental remote sensing, disaster management and in firms specialising in land and resource management, mapping, three dimensional visualisation and spatial data infrastructure.

You will find work with organisations such as Geomatic Technologies, Spatial Vision, Photomapping Services, the Office of the Surveyor-General, Reeds Consulting and Geoscience Australia.

PROFESSIONAL ACCREDITATION

The Master of Engineering is professionally recognised under two major accreditation frameworks — EUR-ACE® and the Washington Accord (through Engineers Australia). Graduates can work as chartered professional engineers throughout Europe, and as professional engineers in the 13 countries of the Washington Accord.



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MSc Geographical Information Science focuses on the multi-disciplinary science concerned with the development and application of geographical information science technologies, preparing you for a range of specialist careers. Read more

MSc Geographical Information Science focuses on the multi-disciplinary science concerned with the development and application of geographical information science technologies, preparing you for a range of specialist careers.

Geographical information technologies are increasingly used in everyday life, such as Google Earth and geosocial networking. Core geographical information science technologies, including geographical information systems (GIS) and remote sensing, have had a long history of application in government and private sector environmental agencies, planning, agriculture, forestry, utilities and transportation.

This course will enable you to develop fundamental skills and in-depth knowledge of key application areas. You can choose to undertake an applied study unit, which gives a range of work experience skills and can lead to dissertation opportunities working with key local and national employers.

We offer research-led teaching and a range of extra-curricular activities designed to deepen and enhance your learning experience. These include access to additional training resources, educational visits, career talks and alumni presentations.

You will gain experience using commercial and open source software and acquire skills in the development of spatial software for both desktop and online platforms. What's more, during 2017 we will host the 25 th Geographical Information Science Research UK (GISRUK) conference; the largest national GIS research conference.

Aims

This course will provide you with the theoretical foundation and practical skills that are relevant for pursuing a career in a geographical information science field.

You will have the opportunity to develop advanced knowledge of and practical experience in:

  • GIS and remote sensing theory and practice
  • Advanced techniques for GIS analysis and image processing
  • Spatial analysis
  • Computer modelling and software development
  • Internet and GIS Web technologies
  • Databases and database technologies
  • Scientific communication of analytical results and their interpretation

Teaching and learning

Part-time students complete the full-time programme over 27 months.  There are NO evening or weekend course units available on the part-time programme, therefore if you are considering taking a programme on a part-time basis, you should discuss the requirements with the Programme Director first and also seek approval from your employer to have the relevant time off. Timetabling information is normally available from late August from the Programme Administrator and you will have the opportunity to discuss course unit choices during induction week with the Programme Director.

Coursework and assessment

The dissertation, based on an original research project of your own design, accounts for 60 credits. Dissertation topics can focus on aspects of geographical information science and are supported by researchers who specialise in core areas of GIS, remote sensing or modelling. The remaining 120 credits are based on eight 15-credit course units (four in each semester).

Assessment is primarily coursework-based and includes a variety of project work, essays and presentations. This enables you to gain a significant amount of hands-on experience of applying geographical information science skills to real world environmental applications.

The course has five core course units. You select your remaining four course units from a wide range of options offered by Geography, Planning and Environmental Management and the Global Development Institute (GDI), all within the School of Environment, Education and Development. These optional course units enable you to tailor the course to your unique interests.

What our students say

 'The information and techniques I learnt during the MSc have had direct relevance to my professional career, which has progressed rapidly and I am now responsible for the GIS across a number of UK offices'

(Rachel Hutchins; IBI Group)

Facilities

 The Arthur Lewis Building provides excellent resources including analytical laboratories, studio facilities, workshops, seminar rooms, an on-site cafe and dedicated computer clusters including GIS facilities.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

You will have the opportunity to learn from staff with advanced and practical understanding of geographical information science. The taught component of the course, together with the experience of carrying out a postgraduate-level dissertation project, provides you with an excellent foundation for PhD research in numerous fields that involve geospatial data analysis, including physical and human geography, planning, development, and the environmental and earth sciences. There is a high demand worldwide for individuals with these skills.

We provide you with the background knowledge and experience needed for employment in many sectors, especially GIS consultancies, environment agencies, marketing, the oil and gas sector, agriculture and forestry, water authorities, health authorities, and retail.



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