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    UCL MSc in Geographic Information Science

    MSc inGeographic Information Science

    CIVIL, ENVIRONMENTAL AND GEOMATIC ENGINEERING

    For entry in September 2013

    Updated January 2013

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    Contents

    1 Introduction ...................................................................... 1

    2 Structure of the programme ................................................ 2

    3 Aims and strengths of the course ......................................... 5

    4 University College London.................................................... 8

    5 Research environment......................................................... 9

    6 Equipment and facilities......................................................15

    7 Staff.................................................................................16

    8 Programme accreditation and review ...................................21

    9 Entry requirements ...........................................................21

    10 Assessment.....................................................................23

    11 Individual MSc projects.....................................................25

    12 Careers and student profiles..............................................26

    13 Final remarks ..................................................................29

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    1 Introduction

    The MSc in Geographic Information Science at UCL is a full-time, twelve-monthprogramme taught by internationally recognised academics, run in a departmentrenowned around the world for its teaching and research. Being based at UCL,one of the worlds premier academic institutions, students undertaking the MSc inGeographic Information Science have access to a wealth of knowledge from thephysical and engineering sciences, social sciences and humanities.

    The well-established and highly regarded MSc in Geographic Information Sciencehas been taught by the Department of Civil, Environmental and GeomaticEngineering for two decades. Hundreds of students from around the world havegraduated and you will find our alumni working on every continent, employedacross a broad spectrum of agencies, institutions and organisations in the privateand public sectors, as well as research organisations such as universities.

    The MSc in Geographic Information Science is now also linked to the recentlyestablished MSc programme in Geospatial Analysis (GSA) offered by the

    Department of Geography. Spanning two UCL faculties, these interdisciplinarycurriculums exploit the complementary research interests and teaching schedulesof the host departments, providing a broader education environment.

    There is ever-growing national and international demand for qualifiedprofessionals with expertise in the acquisition, representation and analysis ofgeographic information. Furthermore, there is increasing use of GeographicInformation Systems (GIS) as a platform for advanced modelling and analysis ofgeographic phenomena. Our aim is to ground students in the principles andpractical aspects of Geographic Information Science in a vibrant and enthusiasticenvironment in which collaboration and free-ranging debate are stronglyencouraged. Our programme provides rigorous training for the next generation

    of GIS professionals who will, at the end of this course, be able to work effectivelyin novel and challenging situations, and who will be capable of rising to the top ofthe profession.

    This document gives a full description of the course for prospective students andemployers. It includes details of the aims and strengths of the curriculum, theinstitution, the entry requirements, the facilities available and the researchenvironment. It also offers information on individual projects, professionalaccreditation and profiles of the careers of some of our students.

    I hope that you find all of the information you need here. If you are interested injoining us then I look forward to hearing from you.

    Tao ChengProfessor in GeoInformaticsCourse Director of MSc Geographic Information ScienceEmail: [email protected]: +44 (20) 7679 2738

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    2 Structure of the programme

    The overall length of the programme is 12 months, split into a first term fromSeptember to December, with the modules assessed in early January; a secondterm runs from January to late March, with assessment in late April/ early May.The final part comprises the individual project, running from May to September.

    There are three sections to the course; each is given equal weight: the first termof taught material; the second term of taught material; and the individual project.Each of these is worth 60 credits.

    The first term is organised into four 15-credit modules (a total of 60 credits),which focus on the fundamentals of geographic information, data acquisition,representation and analysis. The first terms compulsory modules are:

    GIS Principles& Technology

    Mapping Science Principles of

    Spatial Analysis

    Representation,Structures and

    Algorithms

    Collectively, these four modules introduce students to the fundamentals ofacquiring, representing and analysing geographic information from boththeoretical and practical perspectives. Thus, graduates will be well grounded inthe computational foundations of Geographic Information Science, and acquire abroad practical understanding of topics that include: modern programmingenvironments and database management systems; the impacts of changingtechnology on the implementation of GIS, for example, Web services and cloudcomputing; and the use of GIS in advanced geospatial analysis in social andenvironmental applications.

    Note that an all-day field trip will take place in the first term (at no additionalcost) for data analysis purposes. This year the field trip involves tours to LyddAirport (subject of a public enquiry this year regarding expansion to becomeLondon Ashford Airport), Romney Marsh Wind Farm and Dungeness NuclearPower Station.

    The second term is organised into four 15-credit modules (a total of 60 credits),two core and two optional modules.

    Core Module 1 Core Module 2 Optional Module 1 Optional module 2

    First, students select at least two of the following core modules:

    GeographicInformation System

    Design

    Spatio-Temporal Analysis &Data Mining

    Web & Mobile GIS

    Students may further choose two optional modules. The optional modulescurrently available (subject to timetabling and enrolment) are: Airborne DataAcquisition, Geodemographics & Population Geography, Image Understanding,

    Management/Group Project, Network & Locational Analysis, Ocean and CoastalZone Management, Positioning, Research Methods, Spatial Decision Support,Terrestrial Data Acquisition.

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    In the third term students choose an individual project (60 credits) to completeover the summer, which runs from mid-May to mid-September. This project isdesigned with the support of an academic supervisor who will normally be drawnfrom each programmes host department. The project is evaluated using a

    15,000 word dissertation and a poster presented to other course members andteaching staff.

    It is possible for students to graduate with a Postgraduate Diploma after followingthe taught part of the course, but not completing the individual project. However,only the full programme, leading to an MSc, is recognised by the Royal Institutionof Chartered Surveyors (RICS).

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    Course structure - at a glance

    Term RequiredCredits

    Module Structure Further Details

    First Term Total of 60 credits Four Compulsory Modules:

    GIS Principles & Technology

    Mapping science

    Principles of Spatial Analysis

    Representation, Structures andAlgorithms

    FourCompulsorymodules. Eachmodule is 15credits.

    SecondTerm

    Total of 60 credits Core Modules

    Geographic Information System

    Design

    Spatio-Temporal Analysis &Data mining

    Web & Mobile GISChoose at leasttwo core andtwo optionalmodules. Eachmodule is 15credits.

    Optional Modules

    Airborne Data Acquisition

    Geodemographics & PopulationGeography

    Image Understanding

    Management/Group Project

    Network & Locational Analysis

    Ocean and Coastal ZoneManagement

    Positioning

    Research Methods

    Spatial Decision Support

    Terrestrial Data Acquisition

    Third Term 60 credits MSc individual project

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    3 Aims and strengths of the course

    Overall aims

    The MSc in Geographic Information Science programme aims to provide a broadlybased education in Geographic Information Science principles and practical

    elements following the latest technological and research developments in thefield. It is a feature of the teaching in the department that we aim to moverapidly from a theoretical classroom-based exposition of a subject to its practicalimplementation.

    At the end of the course, students will be able to:

    Explain the general concepts and science of GIS - demonstrating a goodgrasp of theories from Geomatics, Geography, Computer Science,Statistics, Environmental Engineering and related areas.

    Operate and be competent in the use of commercial software, at a level

    that is required by companies and public sector bodies that routinely useGIS.

    Implement typical GIS routines (algorithms using a high level languagesuch as Java or Python); students will be able to tackle problems bywriting computer programmes that use GIS functionality.

    Manage data acquisition and digital mapping projects - including qualitycontrol over the acquisition of spatial data.

    Describe the structures used for spatial data and apply query languages inrelation to database management systems.

    Understand the principles underlying the analysis of spatial data; studentswill be able to reveal information that is hidden in spatial data byapplying statistical and spatial analysis techniques.

    Undertake user requirement analyses, usability testing, prepare projectproposals and draft invitations to tender for projects, write proposals forsystem procurement, conduct benchmark tests and overseeimplementation programmes - all project management skills that will servestudents in future project and activities.

    Strengths of the course

    So why come to UCL? What are the specialist areas available here as opposed toanywhere else? We believe they include:

    A strong focus on technology and in-depth study of practicalimplementation of the latest technology;

    A multidisciplinary programme with a broad selection of optional modules; An internationally recognised academic staff composed of leading experts

    in the field; Close collaboration with industry; Active involvement in research projects; An excellent study and research environment.

    These particular strengths can best be illustrated with direct examples.

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    A strong focus on technology and in-depth study of practical implementationof the latest technology

    The GIS Principles and Technology module not only introduces students to GISprinciples, but also to practical aspects. The lab sessions demonstrate, on a step-by-step basis, how to use ArcGIS thoroughly from data integration to spatial

    analysis, network analysis, and image analysis. Students are assessed through agroup project where they further learn how to use these principles and practicalaspects to solve real spatial problems, using existing case studies and real data.Moreover, our course is unique since it provides a module on Web and MobileGIS which covers Internet theory; GIS concepts related to location basedservices (e.g. find my nearest, push marketing, routing applications); concepts ofsoftware development and design; programming (including HTML, CSS,JavaScript, Asynchronous Java and XML (AJAX), PHP) and use of ApplicationProgramming Interfaces.

    Our course is also unique in providing a module on Spatio-Temporal Analysis andData Mining, which aims to fill the gap in dealing with the emerging needs of

    mining large datasets. This module introduces advanced theories and techniquesto model and analyse spatial and/or temporal data with applications inenvironmental monitoring, transport modelling and crime analysis. It includes thestatistical regression method: STARIMA (Spatio-Temporal Auto-RegressiveRegression) and machine learning approaches: ANN (Artificial Neural Networks)and SVM (Support Vector Machines). It also introduces contemporarytechnologies of visualisation and simulation.

    A multidisciplinary programme with a broad selection of optional modules

    The course provides a wide selection of optional modules following the currentmultidisciplinary trends in the GIS field. This diverse spread of modules in

    engineering, social sciences, computer science and environmental studies enablesstudents to tailor their degrees to suit their specific interests. For more details,see modules - Term 2.

    Internationally recognised academic staff composed of leading experts in thefield

    Our academic staff are recognised internationally as authorities in their field. Theyinclude Professor Paul Longley, leading author of the best-selling GIS textbook;Professor Muki Haklay, who leads the Extreme Citizen Science group; Mike DeSmith, leading expert in spatial analysis, and Dr Tao Cheng, leading expert inspatio-temporal data mining. Our academic staff bring an impressive breadth of

    expertise and experience, together with their passion for their subjects andteaching.

    Close collaboration with industry

    Apart from maintaining good relationships with colleagues in the industry, we aremembers of the Open GIS Consortium and therefore have access to the latestindustrial developments. We enjoy a close connection with the Ordnance Survey,and every year we offer research projects in collaboration with their virtualresearch unit. We also conduct projects with end-user organisations in manysectors; for example, Crossrail, Marks and Spencer; Tesco; The NHS; TheMetropolitan Police; Ordnance Survey, Ove Arup; Local authorities; Transport forLondon; Port of London Authority; Thames Estuary Partnership; European Space

    Agency; Reuters foundation; RICS; Mapinfo; Qinetiq; The Met Office; Shell;Environmental Resource Management (ERM) and many others. We also invite a

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    number of industry guest lecturers to speak for our modules and researchseminars. These close relationships are beneficial for the recruitment of ourstudents to permanent positions on completion of the MSc.

    Active involvement in research projects

    We have strong and reputable research teams composed of academics, researchfellows and associates and PhD students that lead research of specific GISaspects at an international level, and which are funded by research councils andorganisations in the UK and European Union. Our students have the chance towork with our research teams and gain the guidance and support that it isnecessary during their MSc projects. There is a separate section giving examplesof existing research projects (Section 11).

    An excellent study and research environment

    The students attending the course have free access to software provided by UCLduring this period; this includes downloads such as the latest version of ArcGIS

    (11), MATLAB and MapInfo. Moreover, the students have access to the UCLlibrary, but also the British library, which is a just door-step away. The studentsenjoy free enrolment to courses offered by UCL graduate school; The GraduateSchool's Skills Development Programme is open to all graduate research studentsat UCL. The purpose of the programme is to provide the opportunity to expandstudents generic research and personal transferable skills. These skills areintended to aid research at UCL and to enhance life skills and employability. Moredetails can be found athttp://courses.grad.ucl.ac.uk/.

    Moreover, our students have the unique opportunity to attend the GeospatialScience seminar series; a weekly term-time forum that discusses currentresearch and ideas, as well as hosting speakers from prospective employers. The

    programme comprises a mixture of invited international and UK speakers, andresearchers at the postgraduate and postdoctoral levels in UCL. The intendedaudience is our own MSc Geographic Information Science and MSc GeospatialAnalysis students (who may find the sessions useful in formulating researchquestions and dissertation proposals of their own), PhD researchers and staffinvolved in our various research programmes and grants. More details can befound at http://www.ucl.ac.uk/gis/seminars.

    UCL also offers many research seminars such as the Bite-Sized LunchtimeLectures, which are a great way to find out what's going on at UCL. In just onelunch-hour, one or two speakers from across UCL's disciplines talk about the areaof study that they love.

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    4 University College London

    In 2009, UCL climbed tofourth place in the annualTimes Higher Education -

    QS World UniversityRankings, confirming itsstanding as Londonsglobal university. Themeteoric progression upthe tables in recent yearsreflects the outstandingquality of UCLscommunity of academicsand students. Theuniversity is one of theforemost in the UK for

    research and innovation,and is dedicated toharnessing its exceptionalresearch for positive socialand economic benefit: nofewer than 21 Nobelprize-winners werenurtured by the UCLcommunity.

    This community continuesto pursue the highest

    standards of academicrigour and has earned admiration in the higher education domain for its strategiesto pool research expertise across a wide range of disciplines, to deliver thehighest standards in teaching, and to attract the brightest students from all overthe globe. Student life at UCL is rich and challenging; we provide theopportunities and leadership in teaching, research, entrepreneurship,volunteering and overseas study. In fact, 34% of UCL students come from outsidethe UK, from approximately 140 countries around the world, and our researchreaches the farthest corners of the globe; from the conservation of antiquities inIraq to the transformation of engineering research in Kazakhstan.

    UCL was founded in 1826 as a secular alternative to the universities of Oxfordand Cambridge. Prior to this, the benefits of a university education in Englandwere restricted to men who were members of the Church of England. UCL wasfounded to challenge this discrimination, providing a radical alternative toOxbridges social exclusivity, religious restrictions and academic constraints, thusopening up English higher education for the first time to people of all beliefs andsocial backgrounds. Today, it remains fervently progressive and is one of theworlds leading multidisciplinary universities, with a global reach and universalvision.

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    5 Research environment

    UCL is a research intensive university. In a department such as Civil,Environmental & Geomatic Engineering, the annual income from research isaround 5 million. Rather than being seen as a distraction from teachingstudents, the philosophy at UCL is that the whole learning experience is enriched

    by contact with academic staff who are clearly at the forefront of their fields. Thisis as true for staff involved in the MSc in Geographic Information Science as it isfor all staff, and students on the course come into contact with the latestdevelopments in the field.

    To give a very brief flavour of this excellence, some examples are given below ofcurrent or recent projects in the department that are relevant to the GeographicInformation Science course.

    STANDARD - Research Group (Led by Prof. Tao Cheng)

    UCL, together with Transport for London, are working on a three year EPSRC-

    funded research project to investigate spatio-temporal characteristics of datafrom transport networks, led by Dr Tao Cheng (PI) and Professor BenjaminHeydecker (Co-PI). The STANDARD project (www.standard.cege.ucl.ac.uk)encompasses and builds upon a broad range of modelling approaches in spatio-temporal analysis, complexity science and state of the art 3D visualisation. Theproject involves two Postdoctoral Research Fellows (Dr. Ioannis Tsapakis and Dr.Jiaqiu Wang) and four PhD students (Berk Anbaroglu, James Haworth, Ed Manleyand Garavig Tanaksaranond). Examples of their individual research projectsinclude:

    Impact Analysis on Journey Speeds in the Greater London Area

    Postdoctoral Research Fellow Ioannis Tsakakis researches factors that affectjourney speeds in the Greater London area. These factors include: a) differentintensities of precipitation and snow, b) incidents, c) work zones, d) specialevents and breakdowns, e) temporal factors within a day, f) temporal factorswithin a year, g) other traffic-related variables such as traffic composition, and h)other non-transportation-related variables.

    Detecting Non-recurrent Congestion on Road Networks

    PhD student Berk Anbaroglu examines the analysis of the development anddissemination of traffic congestion on the road network across time.

    Modelling the Evolution of Unexpected Incidents on Urban RoadNetworks through Multi-Agent Simulation

    EngD student Ed Manley looks at howhuman behaviour influences thedevelopment and movement of congestion around the road network.By better understanding the way inwhich people remember and utilise theurban environment, we can begin tograsp how motorists might behave inresponse to road closures andincidents. The project is using a wealthof taxi driver route data to gaininsights into this behaviour.

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    Visualisation of Traffic in Space-time

    Although a large amount of traffic datahave been collected, we are still unable

    to fully understand traffic congestion.The task becomes more difficult whentraffic data is overly abundant and is tiedto space and time. In this researchproject PhD student GaravigTanaksaranond attempts to understandroad network performance in relation tospace-time, using data gathered frommonitoring devices in London and usingvisualisation techniques.

    Dynamic Spatio-temporal Modelling of Network Data

    Most existing spatio-temporal forecasting models consider the spatio-temporalrelationship between locations to be fixed. However, real time data collected onnetworks often displays properties that are dynamic in both space and time. Inthis research project, PhD student James Haworth aims to develop a dynamicmodel for forecasting network data that takes into account the changingrelationship between parts of the network over time.

    Crime, Policing and Citizenship (CPC) Space-Time Interactions ofDynamic Networks (Led by Dr Tao Cheng, with Co-Is: Prof. Kate Bowers,UCL Crime Science; Prof. Paul Longley, UCL Goeography; Prof. JohnShawe-Taylor, UCL Computer Science)

    Crime continues to cast a shadow over citizens well-being in large cities today,while also imposing huge economic and social costs. Prevention, early detectionand strategic mitigation are all critical to effective policy intervention, especially indomains where coordinated responses are required. This research will use anintegrated approach to space-time analysis in order to analyse crime patterns andpolice activity patterns and community characteristics, in order to understand andpredict the when, where and what of how criminal activities emerge and aresustained. Four research associates are working on this project, with several PhDstudents and colleagues from Metropolitan Police (www.ucl.ac.uk/cpc).

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    Understanding Travel Behaviour from Sparse GPS data using MachineLearning and GIS (Led by Prof Tao Cheng)

    Travel surveys are one ofthe most important waysof obtaining the critical

    information needed fortransportation planningand decision making. Inthis project, PhDstudents Adel Bolbol,aims to infer travelinformation such as thetransportation mode tocomplete travel surveys,minimising the cost intime and budget of

    conventional travel diaries. The project adopts machine learning and spatial

    topology techniques to infer the transportation mode from coarse-grained GPSdata. The projects framework uses speed and acceleration data to perform thisclassification, along with understanding the relationship of GPS trajectories withdifferent transportation networks. This project is funded by EPSRC.

    Empowering Web GIS for Public Engagement in Spatial Issues (EPSRCPostdoctoral Research Fellowship, Dr Artemis Skarlatidou)

    Providing lay people with information essential for them to become informedcitizens and actively participate in policy-making is a complex process, andresearch in this area may have a substantial societal impact. The role ofInformation and Communication Technology (ICT) and especially GIS in Public

    Engagement (PE) is widely acknowledged. This project aims to provide anengineering solution to improve the quality of information and interaction usingWeb GIS representations of a public-interest issue. The case study of nuclearwaste disposal is used and how risk information should be designed to addresslay peoples concerns in the UK is further explored. Arup is also involved in thisproject.

    Extreme Citizen Science (ExCiteS) - Research Group (Led by Prof. MukiHaklay)

    'Extreme' Citizen Science

    (ExCiteS) is extreme in threeways: firstly, it aims to developthe theories and methodologiesto allow any community to starta Citizen Science project thatwill deal with the issues thatconcern them - frombiodiversity to food production.Secondly, it will provide a set oftools that can be accessed byany user, regardless of their

    level of literacy, to collect, analyse and act on information by using established

    scientific methods. Finally, it aims to use the methodologies of Citizen Sciencearound the globe by developing a technology, through collaborative activities,that can involve communities from housing estates in London to hunter-gatherers

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    and forest villagers in the Congo Basin. Students involved include: Elles vanAsseldonk, Michalis Vitos, Cindy Regalado and Diana Mastracci.

    Adaptable Suburbs (Professor Muki Haklay, Professor L. Vaughan, Dr.Claire Ellul, Dr. Victor Buchli and Dr. Sam Griffiths)

    Adaptable Suburbs seeks tounderstand why the networksof streets and spaces work wellin twenty of the Londonsuburbs already studied.Extensive, multi-disciplinaryanalysis is being used toexplore the influence of socialinteraction and spatialmovement on the economicvitality and adaptability of

    places. Key techniques includespace syntax analysis of street network accessibility; historical analysis of changeover time; street-level ethnography, interviewing the people who use and trade ineach centre and mapping their spatial networks; and detailed town centreanalysis using socio-economic data. PhD students involved include: AshleyDhanani, David Jeevendrampillai, Ruthie Carlisle, and Patrick Rickles.

    EU FP7 Project 'everyAware' (Professor Muki Haklay and Dr. Claire Ellul)- A Collaborative Project with the Fondazione ISI - Institute for ScientificInterchange, Italy; Sapienza Universit di Roma, Italy; Gottfried WilhelmLeibniz Universitt Hannover, Germany; and the Flemish Institute of

    Technological Research, Belgium

    EveryAware is an EU project intending to integrate environmental monitoring,awareness enhancement and behavioural change by creating a new technologicalplatform combining sensing technologies, networking applications and data-processing tools (http://www.everyaware.eu/). Questions to be examined by theproject include the technical possibilities of substituting a large number of low-cost noise and pollution sensors for fewer high-grade devices, and the influencethat personalised information about exposure to noise or air pollution will have onan end user's behaviour in his or her daily life. PhD students involved include:Louise Francis and Christian Nold.

    Identifying Learning Benefits of Google Earth in Education (ProfessorMuki Haklay, Richard Treves [Geography, Southampton])

    The project aims to evaluate theeffectiveness of combining GoogleEarth Tours and Active Learning ineducation. We contend that there isgreat educational value in combiningthe advantages of the rich visualisationof Google Earth Tours with studentactivities. Google Earth will beprimarily used in the form of semi-interactive animation (Google EarthTours) integrated in a web browser and

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    research is examining ways to reduce the data volume prior to its transmission toa web browser.

    3D models in Building Information Modelling (Dr Jan Bohem and Dr ClaireEllul)

    Building Information Modelling (BIM) is a process developed to improve the flowof information about a building throughout its lifecycle i.e. from constructionthrough commissioning until demolition. BIM should provide a common platformthat different stakeholders can supply and retrieve information thereby reducingwaste through enhanced decision making.A key part of the BIM process is acentral geometric model that represents the construction in 3D. PhD studentCharles Thomson investigates this 3D model, from initial geometry capture in thereal world to the generation and storage of the virtual world model while keepingthe workflow and outputs compatible to the BIM process.

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    6 Equipment and facilities

    There is a wide range of facilities (e.g. an IT suite, seminar rooms, lecturetheatres, libraries, social spaces, a refectory and additional facilities provided byUCL and ULU student unions) at the main UCL campus accessible to all UCLgraduate and postgraduate students. The Department of Civil, Environmental and

    Geomatic Engineering further provides computer cluster rooms equipped withspecialist software. Students are also provided with one-year licenses forspecialist software which can be installed in their laptops.

    We have close links with the biggest vendors in the area of GIS. These includeESRI inc. and their ArcGIS software is being used to teach the principles of GISvia their virtual campus learning environment. We are a registered researchlaboratory with Intergraph, which provides us with access to their software andtechnical support - the software is being used for teaching and research;furthermore, we have links with Mapinfo and their software is used for teachingand research purposes. Finally, Laser-Scan and Snowflake software is used tolearn advanced applications of GIS in a database environment and other

    application packages are also available for students on the course (such asCadcorp SIS).

    Students of the department are introduced to, and trained in, this software

    throughout the teaching terms and can utilise the suite for their individualresearch projects in the third term. Apart from the GIS specialist software, thedepartment further provides students studying for their MSc in GeographicInformation Science with high-quality printers and survey equipment (e.g.reflectorless Leica TS06 total stations, a range of automatic levels and ten newLeica Zeno handheld GIS/GPS devices). We also have a ScanStation 2 and aFARO Photon 120 laser scanner, and on the close-range side we have a NikonMMD and two Arius 3D colour scanners. We also possess two Nikon D700 digitalSLR cameras which are used in photogrammetry. Eye-tracking equipment and ausability lab are also available.

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    7 Staff

    Tao Cheng (Course Director)Tao Cheng is Professor of GeoInformatics. She has studied andlectured in China, the Netherlands, Hong Kong, France and theUK. Her research interests span network complexity, integratedspatio-temporal data mining, spatial-temporal data modelling andvisualisation, and uncertainty and quality of geographicinformation. She has over 150 publications and is a past recipientof the U. V. Helava Award for the best paper in the ISPRS Journalof Photogrammetry and Remote Sensing. She is also the Directorof UCL SpaceTimeLab, a multidisciplinary research Centre that

    focus on studies of spatio-temporal complexity in society, economics andengineering. The SpaceTimeLab has 12 members: two academics, four PDRAsand six PhD students. Tao Cheng has carried out numerous consultancies andresearch with various organisation and companies such as Arup, Transport forLondon, and Metropolitan Police London. Tao Cheng runs the GIS Principles &Technology and Spatio-Temporal Analysis and Data Mining modules.

    Mike de SmithMike de Smith''s academic background is in Geography (BSc, MA,PhD), and Mathematics (BSc). From 1974-9 he was a researcherin the Communications Studies Group (CSG) which was initiallybased at University College London (UCL). During the period1979-2001 he ran a number of telecommunications consultancyand computer systems businesses, latterly focusing on real-timefinancial information systems. Dr. de Smith's academic researchcovers the fundamental building blocks of spatial analysis, notablythe concepts of measurement, distance and the determination of

    optimal paths; he is the lead author of the Geospatial Analysis book and web site.Mike de Smith runs the Principles of Spatial Analysis module and organises andleads the field trip in the second term.

    Paul DenshamPaul Densham joined UCL in 1994 as a lecturer in GeographicInformation and in 1996 he was promoted to Reader - prior to this,he was Assistant Professor of Geography at the State University ofNew York at Buffalo. Whilst at SUNY Buffalo, he was a PrincipalInvestigator and Research Fellow in the National Centre forGeographic Information and Analysis (NCGIA). Paul Densham holds

    a B.A.(Hons) in Geography and Economics, an MSc in OperationalResearch and a PhD in Geography. His PhD thesis is entitledDecision Support for Reorganizing Settlement Systems which

    developed methods for the interactive elicitation and validation of people'spreferences and for solving large location-allocation models. He led the NCGIA'ssixth research initiative Spatial Decision Support Systems with Michael Goodchild;the NCGIA's seventeenth research initiative, Collaborative Spatial Decision-Making(CSDM), with Marc Armstrong and Karen Kemp; and the NCGIA's researchinvestigation Parallel Computation and GIS. Paul Densham runs theRepresentation, Structures and Algorithms module.

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    Claire Ellul

    Claire Ellul joined the department (CEGE) as a lecturer inGeographic Information Science in 2010, following a 10-yearcareer as a GIS consultant in the UK, Europe and the MiddleEast. She is interested in technical and data-related research inGIS, and specialises in spatial databases and software

    development. Current research themes include three-dimensionalGIS, spatial data management, data quality and metadata and sheis conducting research into how to persuade non-GIS researchteams to capture and use spatial metadata, the use of GIS inCitizen Science and Community Engagement, teaching GIS

    principles to researchers from other disciplines. Claire Ellul runs the Web & MobileGIS module and contributes to the databases and spatial databases element of

    the Geographic Information System Design module.

    Muki Haklay

    Muki Haklay is Professor of Geographic Information Science and

    the director of UCL Extreme Citizen Science group. The group isdedicated to allowing any community, regardless of their literacy,to use scientific methods and tools to collect, analyse, interpretand use information about their area and activities. His researchinterests include Public Access and use of EnvironmentalInformation; Human-Computer Interaction (HCI) and UsabilityEngineering aspects of GIS; and Societal aspects of GIS use - in

    particular, participatory mapping and Citizen Science. Muki Haklay runs theGeographic Information System Design and Research Methods modules.

    Paul Longley

    Paul Longley (B.Sc., PhD, D.Sc., AcSS) is Professor ofGeographic Information Science at the Department ofGeography, UCL. His publications include 14 books and morethan 125 refereed journal articles and contributions to editedcollections. He has held over 40 research grants and hassupervised more than 35 PhD students (most funded byresearch councils). He is a co-editor of the journal Environmentand Planning B and a member of five other editorial boards. Hehas held ten externally-funded visiting appointments and given

    over 150 conference presentations and external seminars. He teaches GeographicInformation Systems and Science and is a co-author of the best-selling book ofthat name. Paul Longley runs the Principles of Spatial Analysis module.

    Pablo Mateos

    Pablo Mateos is a Lecturer in Human Geography at the Departmentof Geography, University College London (UCL). He completed hisPhD in 2007 at UCL with the topic 'The ontology of ethnicity basedupon personal names: with implications for neighbourhoodprofiling'. In it he developed an improved ontology of ethnicity thatmaps into reliable measures at the level of the individual, usingsuch measurements to improve public service delivery and supportpolicy applications at neighbourhood level. After a successful

    management career of 10 years in the logistics sector in several countries, in2003 he undertook a career change to work in academic research. Pablo Mateosruns the Geodemographics and Population module.

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    Dietmar Backes

    Dietmar Backes is one of the departments geomatics systems managers,providing support for the use of equipment and software in the department,particularly focusing on the Lidar and imagery side. Dietmar Backes coordinatesthe Mapping Science module, which draws upon the expertise of several of the

    departmental staff.

    Jan Boehm

    Jan Boehm has a background in Computer Science, for which he holds a Mastersdegree from the University of Massachusetts, Dartmouth, USA, and a Diplomadegree from the University of Stuttgart, Germany. He also holds a Doctoraldegree from the department of Aerospace Engineering and Geodesy at theUniversity of Stuttgart. Since 2010 he has been a lecturer in Photogrammetry and3D Imaging at University College London. He has published more than 50 paperson the topics of close-range photogrammetry, three-dimensional point cloudprocessing and robotics. His current research projects include creating building

    information models (BIM) from point clouds, detailed faade modelling fromterrestrial and mobile laser scanning and developing a human measurementsystem from low cost natural user interface sensors. Jan Boehm contributes tothe teaching on Mapping Science; Terrestrial Data Acquisition; Airborne Data

    Acquisition and Image Understanding.

    Paul Groves

    Paul Groves joined UCL in 2009 after 12 years at DERA and QinetiQ. He leads aprogramme of navigation and positioning research within UCLs Space Geodesyand Navigation Laboratory. Paul specialises in the integration and mathematicalmodelling of all types of navigation systems. He is an author of about 40 technical

    publications, including the book Principles of GNSS, Inertial and Multi-SensorIntegrated Navigation Systems. He holds a BA/MA and a DPhil in physics from theUniversity of Oxford. He is a Fellow of the Royal Institute of Navigation and anassociate editor of both Navigation: Journal of the ION and IEEE Transactions onAerospace and Electronic Systems. Paul Groves contributes to the MappingScience module.

    Jonathan Iliffe

    Jonathan Iliffe's expertise lies in the area of geodesy, specifically those issuesthat relate to coordinate reference systems national or local, on land or at sea.Current or very recent research projects include determining the height correctorsurfaces for use in the British Isles (transforming GPS data to the local heightsystem in each country), the UKHO-sponsored VORF project (transforming GPSdata to the different coordinate reference systems used on land and at sea) andthe development of the SnakeGrid system (which gives a near-unity scale factoralong very large linear engineering projects such as railways, highways andpipelines). He acts as a consultant on international land and maritime boundarydelimitations, and advises governments, survey and engineering companies andrailway organisations on the geodetic aspects of large infrastructure projects.Together with Roger Lott, he is the author of Datums and Map Projections, astandard textbook for students and professionals around the world. In 2008Jonathan Iliffe was awarded the Richard Carter Prize (Geospatial Engineer, 2008)by the Institution of Civil Engineering Surveyors for his work on SnakeGrid and

    projects such as OSGM02 and VORF. Jonathan Iliffe runs and contributes to the

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    teaching on Mapping Science, Management/Group Projectand Ocean and CoastalZone Management.

    Liz Jones

    Liz Jones is a Teaching Fellow in Geomatics and a Geomatic Systems Manager.She joined the department after working as a surveyor in the 3D team ofPlowman Craven, a UK survey company. Prior to this, she completed an MA inEgyptology (Liverpool) and an MSc in GIS (UCL). Liz is the GIS officer andsurveyor for a number of archaeological projects, including the Gurob HaremPalace Project and the Saqqara Geophysical Survey Project. She also maintainsthe UCLGeomatics blog and is the Departmental Advisor to Women Students. Liz

    Jones contributes to the Terrestrial Data Acquisition and Positioning modules andprovides practical support on Ocean and Coastal Zone Management.

    Stuart Robson

    Professor Stuart Robson heads the Photogrammetry, 3D Imaging and MetrologyResearch Group. His personal research focus is in the traceable on-line dynamic3D co-ordination and monitoring of engineering, medical and cultural objects andstructures using photogrammetric image networks and sequences, visionmetrology and laser scanning. Following these themes, he has active researchprojects in the engineering sector with Network Rail, Airbus, NASA and NPL and inheritage with the British Museum, the Science Museum, Arius3D and the SME IET.Stuart has contributed to more than 120 publications including co-authoring amajor text book, Close Range Photogrammetry: Principles, Techniques andApplications. Stuart Robson contributes to the Terrestrial Data Acquisitionmodule.

    Richard Simons

    Richard's main research interests lie in the field of Coastal Engineering, in whichhe has made a major contribution to the study of wave-current interaction,providing an insight into fundamental fluid processes and related interactions withthe seabed. He has a particular interest in marine aggregate dredging andsupervised a recent project using a new cellular automata model to predict thelong-term behaviour of the seabed and benthos after dredging. In the broaderfield of coastal morphology, another project has applied novel statistical methodsto predict long-term morphological development of the seabed. In the field offluid-structure interaction, extensive tests are being performed to train and

    validate a neural network model of 3D wave effects around submergedbreakwaters; advanced 3D flow measurements are being made to assess thestability of scour protection for various levels of rock misalignment, and an EngDproject with H.R. Wallingford is investigating scour around complex foundationsrelevant to the marine renewables industry. Richard Simons contributes to theOcean and Coastal Zone Management module.

    Marek Ziebart

    Marek Ziebart is a Professor in Space Geodesy, which is the science andengineering of using satellites in orbit around planets to measure dynamic

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    characteristics such as the gravity field, sea level and ice cap variations, as wellas plate tectonics. In 2007, GPS World named him as one of the 50 Leaders toWatch in recognition of his contributions to the global navigation and positioningindustry. He holds a PhD in Satellite Geodesy and Astrodynamics, and is amember of the NASA/CNES Ocean Surface Topography Science Working Team.He is a contributor to news items and documentaries on BBC Radio 1, BBC Radio

    4 (Today programme), BBC Radio 5live, BBC News 24 and the World Service. Hehas carried out numerous consultancies and research contracts for clients such asthe UK Hydrographic Office, the European Space Agency, Tritech Rail, NASA, theUS Air Force, QinetiQ, and Ordnance Survey. The UCL Satellite Geodesy andNavigation Research Group has 12 members: four academics, three PDRAs andfive PhD students. Marek Ziebart contributes to the Positioning and Ocean andCoastal Zone Management modules.

    8 Programme review and accreditation

    In common with other geomatics MSc programmes in the department, the MSc inGeographic Information Science is accredited by the Royal Institution of

    Chartered Surveyors (RICS). This means that passing at MSc level affords anentry route into that institution for graduates of the programme. In order to gainthis accreditation, details of the syllabus are supplied to the RICS, and then on an

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    For more information, please see: http://www.ucl.ac.uk/academic-manual/part-4/pg-

    english-language-proficiency-requirement

    Average age of students on this MSc

    It is worth pointing out that although the minimum age for enrolling on the MSc is21 (this being the effective minimum for a graduate of a British undergraduatedegree), in practice the average age may generally be slightly older than this.Some graduates come to us with a few years of general experience of work; forexample, in the IT industry, or have more specific experience of working in thefield and are coming back to university for further study of specialist areas.However, there are plenty of others who join the course without any previouswork experience.

    10 Assessment

    At the programme level, the minimum standards required are:

    MSc Pass:

    50% weighted course average in ALL taught modulesand

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    No more than 30 credit points at less than 50% (condoned fail gradesmay be granted between 40-49% at Board of Examiners discretion). Nomarks below 40% are allowedand

    50% (minimum) in dissertation

    MSc Merit

    60% credit-weighted average over ALL modules (including dissertation)and

    65% (minimum) in dissertationand

    No marks below 50%, no condoned fails, no re-sits, and all marks arebased on first attempts.

    MSc Distinction:

    70% credit-weighted average over ALL modules (including dissertation)

    and 70% (minimum) in dissertation

    and No marks below 50%, no condoned fails, no re-sits, and all marks are

    based on first attempts

    N.B The taught modules have a weight of 120 credit points. The dissertation has

    a weight of 60 credit points.

    Individual modules may be assessed either by coursework or by an unseenwritten examination or by a combination of the two.

    A summary of the method of assessment of each module, together with details ofthe nature of the examination (where assessed by a written exam) or of howmany pieces of coursework need to be submitted and their credit value (whereassessed by coursework) is given in the following table.

    Module Title Credit value Assessment

    First Term

    GIS Principles & Technology 15 100% Coursework

    Mapping Science 15 100% Exam

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    Principles of Spatial Analysis 15 100% Coursework

    Representation, Structuresand Algorithms

    15 100% Coursework

    Second Term (Core Modules)

    Geographic InformationSystem Design

    15 100% Coursework

    Spatio-Temporal Analysis &Data Mining

    15 100% Coursework

    Web & Mobile GIS 15 100% Coursework

    Options

    Airborne Data Acquisition 15 100% Coursework

    Geodemographics &

    Population Geography 15 100% Coursework

    Image Understanding 15 50% Coursework and

    50% Exam

    Management/Group Project 15 50% Exam and 50%

    Coursework

    Network & LocationalAnalysis

    15 100% Coursework

    Ocean & Coastal ZoneManagement

    15 40% Coursework and

    60% Exam

    Positioning 15 50% Coursework and

    50% Exam

    Research Methods 15 100% Coursework

    Spatial Decision Support 15 100% Coursework

    Terrestrial Data Acquisition 15 100% Coursework

    11 Individual MSc projects

    Individual MSc projects form one third of the total credit value of thecourse, and are a means through which students can demonstrate a deepunderstanding of the subject. The aim of the project is to produce workthat has a research element and is in principle of interest to a wider

    community than those immediately involved. That is, the MSc project issomething distinct from a routine professional job and is intended to

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    launch students to some extent into the unknown: in several cases it hasled to published papers. In most cases it fosters resourcefulness, as theyare expected to act as the liaison point between their academicsupervisors and other bodies involved (such as industrial sponsors). In allcases it encourages students to think deeply about their chosen field, to

    research widely in published literature, and to write clear and concisereports.

    Some examples of MSc projects that have been carried out by students on theMSc in Geographic Information Science in 2012 are given below.

    Rgis Garandeau decision support for water system planning using standard

    (i.e. UN and World Bank) and local datasets

    Oluyemisi Adeyemi Comparing two 3D Geospatial Databases

    Katherine Ryan The geography of main & top-up shoppingRachel Ng'Ethe Spatial Multi-Criteria Analysis using Analytic Hierarchy Process

    Monsuru Adepeju Exploratory Space Time Data Analysis of Crime Patterns in

    Central London

    Eva Waddup Spatial Hotspot Analysis of 999 Incidents in Camden by

    Incident Type

    Jon Slade Google Map's Journey-immersion

    Steven DeRoy Athabasca Chipewyan First Nation (ACFN) Land Access and

    Water Rights

    Julia Altenbuchner Evaluating Rendering Performance of 3D City Models

    Kelvin Wong Ordnance Survey

    Feng Xian Integrating Metadata/Quality Information and GIS Software

    Xiaoyan Yu Mapping application for the Amazon Kindle

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    12 Careers and student profiles

    The UCL MSc Geographic Information Science programme has produced hundredsof well-trained graduates, who have gone on to have fulfilling careers andextraordinary experiences. The range and quality of the career options that haveopened up before our graduates from local authorities to central government,

    from consultancy to PhD programmes are an excellent advert for the quality indepth of this Masters programme. Many of our graduates go on to work as GISAnalyst for construction and planning companies (such as Arup and Crossrail), oras Software Developers in leading professional software companies (such as ESRIand MapInfo) by developing innovative spatial tools and specialised spatialsoftware, or as GIS Specialist for various companies and organisations (Shell,M&S, Tesco, Environment Agency, Met Police, TfL, NHS, Ordnance Survey, just toname a few) by delivering sophisticated GIS applications. Some of our graduatesare now pursuing research careers, and some are running their own companies.

    Here we scrutinise the career profiles of some of our past students.

    Catherine Emma (Kate) Jones (2002-2003)

    I know its a clich but the MSc in Geographic Information Systems (GIS)changed my life. During the MSc my dissertation project was sponsored by alocal health care provider, which led onto PhD, the consequence of which was aPostDoc and now I am a lecturer!

    As a lecturer in Human Geography, I teach from between 10 to 200undergraduates at a time, introducing them to the joys of digital mapping forsolving real world problems. As a lecturer the most useful skill you can perfect isthe art of multi-tasking as we combine teaching with research practice. This yearI successfully obtained my first research grant, awarded by JISC. The research

    project will develop a web and mobile mapping application to explore the WorldWar 2 London Bomb Census Maps using data from The National Archives.

    I enjoy being an academic I have more freedom and flexibility than aconventional office job and what other job pays you to keep learning anddiscovering?

    Daniel James Lewis (2008-2009)

    I chose to do the Masters in GIS as a result of my positive undergraduateexperience in quantitative geography; it was clear to me the GIS was a powerfuland practical tool, and that expertise in it would offer some substantialopportunities. During the MSc I worked with Prof. Muki Haklay as he establishedthe direction of a major component of his research: citizen science. Thisexperience was formative, and inspired me to pursue a PhD, which I did withProf. Paul Longley in the area of GIS and health geography. My PhD exploredlocal provision of healthcare services in Southwark, London at a fine scale ofanalysis, and was jointly sponsored by the ESRC and Southwark Primary CareTrust.

    This gave me the interest and expertise needed to progress to a researchposition, which I did by moving to Queen Mary, University of London andbecoming a research fellow for Prof. Steve Cummins on a major 5 year NIHRPublic Health research grant. This research is looking at the impact of the Olympicregeneration and its legacy on the health and wellbeing of young people in East

    London. Im responsible for defining a lot of the spatial and environmental

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    variables crucial to understanding the Olympic legacy, and still find myself usingmany of the techniques I originally learnt doing the MSc in GIS.

    Sudip Pradhan(2004-2005), GIS/DSS Developer

    Pursuing an MSc degree in Geographic Information Science at UCL was one of the

    wisest decisions in my life. Having already worked in GIS for four years, I realizedthat I needed an academic degree in the subject in order to further develop mycareer in it. I am glad that I went to UCL for my master's degree for it not onlyhelped me to develop theoretical understanding of key topics of GIS but alsotaught me practical skills which are quite relevant and useful in my job to date.

    After completion of my MSc I worked as an Applications Developer at Geofutures,Bath until August 2007 when I went back to Kathmandu, my hometown, andrejoined my old organization, the International Centre for Integrated Mountain

    Development (ICIMOD-http://www.icimod.org/). At ICIMOD, I focus on developingGIS/DSS tools and applications while also contributing in other activities such asdatabase development, spatial modeling, spatial analysis, and trainings. In the

    past, I designed and implemented Enterprise GIS at ICIMOD. Currently I lead thedevelopment of web-based decision support applications in various thematicareas (e.g. cryosphere, ecosystems and biodiversity, disaster preparedness andmanagement, etc.) under SERVIR Himalaya. The SERVIR

    (http://www.servirglobal.net/) Himalaya is a joint initiative of ICIMOD, NASA andUSAID and is the third node of NASA's SERVIR programme.

    Richard Johnston, UX Consultant (2009-10)

    After a short career break following my undergraduate degree in ComputerScience I enrolled at UCL to add to my CV the credentials of learning at one of theworlds top Universities. Coming from a computing background I wished to

    broaden my technical skill set, and learn about the latest advancements intechnological development. In a field rife with a wide of opportunities of areas tospecialise in picking GIS I certainly made the right choice. Throughout the courseI was taught the knowledge and given assignments that asked for practicalapplication of methods at the forefront of the latest research. I was highlyimpressed with the combination of tuition from leaders in their respective fields(from both academic and industry backgrounds), and access to extra curricularseminars and lecture series I was able to attend.

    I decided to study on the GIS course to seek future career options, and thanks tothe diverse module options was able to find a specialism I found of professionalinterest. In my case this was User Centered Design in application to Geospatial

    Technologies, though it could have easily have been any number of the topicscovered in modules I chose to be on over the year. And whilst Ive not had torevisit many of the subject areas I studied, the work ethic and high quality I wasexpected to put into the work I delivered definitely taught me how to achieve atthe highest level. Most importantly for me, working in an environment thatobviously prides itself on a rigourous, yet forward thinking approach to teachingthe scientific method, my time at UCL has given me the confidence to succeedboth inside and outside of my now excelling career.

    Thanks to the extremely supportive tutors I was also given the freedom todevelop my expertise (both theoretically and practically) in my chosen area ofinterest during my dissertation. For the completion of this project I was providedwith links to Londons business scene, and in conjunction with a leading builder ofconsumer internet sites developed a solution to benefit their commercialenterprise. This gave me experience practically applying a wide selection of the in

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    depth GIS training from the taught course, and gave me real world exposure toLondons fast paced Internet startup community. This exposure has since provedvital in guaranteeing continuous employment in the competitive jobs market.

    Finally I'd add that the experience I had being in and around the fantastic campusat UCL, and in acknowledgement of the great people I met (both on and off the

    course - many of whom I'm still in regular contact with), truly made for one ofthe best (and most productive) years of my life thus far.

    Zhi Huang (2010-2011), GIS Technician , University of Oxford

    I chose further study on GIS in UCL after completing my undergraduate in China.My GIS skills have been highly improved through various lectures covering GIS,Remote Sense, GPS, Mapping, IT, Analytical methods etc.; and a number ofgroup and individual projects provided the opportunities to develop ability ofaddressing the real-world issues such as wildfire assessment, flood modeling ,wind farm site selection, and so on. For dissertation, I was working with BootsUK on analysing the geographic factors impacting customer response to Boots

    Christmas invitation, during which, both the company and my supervisor werebeing very supportive.

    After completion of my MSc, I worked as a GIS Officer at North East ScotlandBiological Records Centre, where I have successfully applied my techniquesgained through taught course to practical environment assessment and localnatural reservation project. Now, I am a GIS technician in University of Oxford,and am focusing on epidemiological geographical research. I found my one-yearstudy in MSc GIS has equipped me with not only a sound skill set but also theability of learning new techniques effectively.

    Steven DeRoy (2011-2012), President and Director of the Firelight Group

    UCL's Master of Science in GIS program provided me with current and applicabletraining that prepared me with advanced understandings of GIS technologies andtheir application to solve real-world problems. Having worked in the field of GISsince 1998, I was pleased with the high calibre level of the course, instructorsand facilities that enabled me to enhance my skills and abilities in this evolvingfield of discipline. I would highly recommend the MSc in GIS program at UCL foranyone interested in beginning or advancing their career in GIS.

    Kelvin Wong (2011-2012), GIS Analyst

    I chose to pursue an MSc in Geographic Information Systems for two reasons: 1)to develop and expand my skillset; 2) to make myself more employable.University College London was the obvious choice with its one-year intensivecourse, international reputation and a cohort of incredibly talented staff.

    From the offset, there was a steep learning curve to bring everyone to the samestandard on the basics of GIS. As the term progressed, the curriculum expandedto other topics including statistical analysis, underlying structures and algorithmsof a GIS, programming, cartography, projections and transformations and awhole wealth of other fascinating areas. The variety I was exposed to vastlyexpanded my repertoire, but also allowed me to explore which topics I enjoyedmost and wanted to continue studying in the next term.

    The second term allowed for optional modules whereby you were able to

    specialize in your interests and build on your strengths. I was able to develop myprogramming skills on the Web & Mobile GIS course as well as gaining database

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    management skills on the Spatial Databases course. Becoming acquainted withdifferent programming languages and their various nuances not only prepared meinto an adaptable and flexible GIS professional, but it was also fantastic for theCV.

    For my dissertation, I had the opportunity to collaborate with Ordnance Survey on

    a sponsored project where I was able to combine elements of what I had learntfrom the taught courses in a real and practical way.

    After the completion of my MSc, I joined WSP Group as a GIS Analyst where Ifocused on development and transport based projects. Half of my time is spent onclient consultancy projects whereby I help generate maps and visualization ofdata such as isochrones for assessing accessibility. The other half of my time isreserved for GIS research and investigating innovative solutions that couldaugment the companys processes. The MSc in GIS course at UCL has put me ingood stead for all eventualities; being around similarly passionate staff andcolleagues fostered an intellectually stimulating but also fun environment. I wouldthoroughly recommend this course to any prospective students!

    13 Final remarks

    The UCL MSc in Geographic Information Science has been running for over twentyyears. In that time we have built a reputation for producing graduates who arecapable and competent, with a sound grasp of the principles and practice of GIS.Youll find them all over the world running spatial analyses in construction andplanning projects, developing innovative spatial tools and specialised spatialsoftware, delivering sophisticated Web GIS applications, working in research andlecturing or running their own company. Wherever they are, their UCL degree is

    respected and valued; this is as true today as its always been, and wereinvesting in the equipment and appointing the staff to ensure it stays that way inthe future.

    We have tried in this brochure to give as much information as possible about thescope of the course, its particular strengths, the staff who contribute, and thefacilities available. If you do need to know more, take a look at our website orfeel free to contact us.

    Otherwise, if you are thinking of applying to the course, or if you have employeesyou are planning to send here for further training, or if you are looking for well-trained graduates to join your organisation we look forward to hearing from

    you.