Advanced Spatial Analysis and Visualisation (MRes)  Advanced Spatial Analysis and Visualisation (MRes) University College London ../webroot/files/Institutions/cover_photo/1563944035University-London-1.jpg

This unique programme focuses on complexity, modelling, mapping and visualisation, pulling together the latest research in urban form, functionality and communication. It has a strong research component based around developing new methodologies from new task specific software and techniques that have emerged as part of the Web Revolution . What and how will I learn? Students gain a grounding in the principles and skills of social and spatial research, and develop an understanding of research methodology and methods of data collection and analysis. Subject specific courses provide students with the opportunity to develop skills in spatial analysis, to contribute to current debates in the field. Degree Structure Students undertake courses to the value of 180 credits. The programme consists of four core courses (60 credits), a group mini-project (30 credits) and a research dissertation (90 credits). Core Modules GI Systems and Science Spatial Modelling and Simulation Investigating Research Professional Development in Practice Group Mini Project: Digital Visualisation Dissertationreport All students undertake an independent research project with an emphasis on data collection, analysis and visualisation, which culminates in a substantial dissertation. Options All courses are compulsory. Further details available on subject website: http:www.casa.ucl.ac.ukcoursesmres 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. Why should I 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, visualisation, and CAD in cities and regions. The focus is on developing models and methods for urban and regional planning, environmental policy, settlement analysis, transportation, and public participation. This new programme has been designed to reflect recent changes in the rise of web-based technologies and the development of low cost yet complex visualisation and analysis packages, which has generated a notable change in the demand for more traditional vendor specific information systems and computer aided design courses. Your future career Research led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions. Vast amounts of previously unused data are becoming available either from changes in accessibility, due to the nature of the network and cloud based computing, changing national data policies or more widely as a result of new mass data collection methodologies. CASA is supported by many outside agencies such as the Greater London Authority, ESRI, Google and Ordnance Survey. How to apply Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines. Who can apply? The programme looks towards Web 3.0 (Read, Write, Execute) technologies and methods to deliver skills required for currentfuture professionals and policy makers engaged in spatially related projects. RAE Rating Centre for Advanced Spatial Analysis 75% rated 4* (world-leading) or 3* (internationally excellent) http:www.ucl.ac.ukgradprospectuscasa

A minimum of an upper second-class Bachelor's degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard. Applicants with a lower second-class Bachelor's degree may be considered on their individual merit.