MRes Advanced Spatial Analysis & Visualisation

Overview
Structure
Content
Staff
Applying
Opportunities

Overview

The MRes in Advanced Spatial Analysis and Visualisation at UCL Centre for Advanced Spatial Analysis (CASA) started in September 2011. The course is designed to reflect the latest developments in spatial data analysis and visualisation reflecting CASA's reputation in the fields of geographic, urban and architectural information systems. This innovative course provides an exciting opportunity to study at UCL with an MRes acting as a pathway to a PhD or further career in Advanced Spatial Analysis and Visualisation (ASAV).

CASA is concerned with the development of research in emerging computer technologies in several disciplines dealing with geography, space, location and the built environment. This interdisciplinary research centre draws expertise from the fields of archaeology, architecture, cartography, computer science, environmental science, geography, geomatic engineering, planning, remote sensing and transport studies. CASA is a department within the Bartlett Faculty of the Built Environment and often has associated students in other departments. This structure generates a unique blend of knowledge forming the core of the MRes ASAV.

Programme objectives

The MRes is unique in its focus on complexity, modelling, mapping and visualisation, pulling together the latest research in urban form, functionality and communication. Recent changes in the rise of web-based technologies and the development of low cost yet complex visualisation and analysis packages have generated a notable change in the demand for more traditional vendor-specific information systems and computer-aided design courses.

The MRes ASAV reflects this change with a look towards Web 3.0 (Read, Write, Execute) technologies and methods to deliver skills required for current/future professionals and policy makers engaged in spatially related projects.

The programme aims to provide training in the principles and skills of social and spatial research. Its aims include a strong understanding of qualitative and quantitative research methodology and methods of data collection and analysis to support and enable independent and group research projects.

Structure

This is an interdisciplinary course designed to raise awareness of new task-specific software and techniques that have emerged as part of what may be termed the 'Web Revolution'. CASA has been at the forefront of the changes that have impacted the way we share, communicate and distribute information, specifically information relating directly to geographic and spatial entities.

These changes have steadily emerged since the mid 1990s and it is clear that location and space now represent a third force in information technology besides more traditional computer and communication science. These changes are reflected within the interlinked laboratory research-based student projects (specifically a group visualisation project and the MRes dissertation), with data collection focused on 'remote data mining' rather than field work in the traditional planning/geographical/architectural sense. Indeed, these research-led skills are increasingly becoming a key element in shaping our understanding of complex spatial functions.

The course runs full time over 12 months, a part-time option over two years is available. The taught element of the course is usually delivered on two to three days per week over the first two terms.

Content

The MRes comprises six mandatory modules which equate to 180 credits in total.

BENVGSA1 Group Project: Digital Visualisation [30 credits]

This module introduces students to methods of visualisation and data mining within the geospatial domain. Developed as a group project, the module aims to provide an understanding of the juxtaposition between research, data capture and data display methodologies. It is designed to build upon the taught sections of the course to develop initial research questions for the dissertation. Project assessment will be on a group basis.

BENVGSA2 Advanced Spatial Analysis and Visualisation MRes Dissertation [90 credits]

The dissertation is based around the writing and preparation of an original research project in the form of a master's dissertation. Students will be required to plan the research their dissertation from an early stage, with ongoing development building on both the mini-project and taught courses developed through the year. The research topic will be defined under the guidance of your dissertation supervisor with the support of the course director. The aim is to produce a unique piece of work with an emphasis on data collection, analysis and visualisation linked to policy and social science orientated applications.

BENVGSA3 GI Systems and Science [15 credits]

GI Systems and Science aims to equip students with an understanding of the principles underlying the conception, representation/measurement and analysis of spatial phenomena. It presents an overview of the core organising concepts and techniques of Geographic Information Systems, and the software and analysis systems that are integral to their effective deployment in advanced spatial analysis.

BENVGSA4 Spatial Modelling and Simulation [15 credits]

This module introduces students to the theory, principles and applications of mathematical and computer modelling as applied to cities. It will be based on five unified themes: an introduction to definitions of models as they relate to the philosophy of science; the model-building process involving calibration and prediction; types of urban models ranging from land use transportation models, microsimulation, discrete choice, cellular automata and agent-based models (ABM); the exploration of two specific types of model, namely land use transportation; and cellular automata ABM.

BENVGSA5 Knowledge Power: The Fundamentals of Research [15 credits]

Knowledge Power introduces the students to routes beyond traditional disciplines to explore core interdisciplinary skills relating to the notions of superconcepts and methodologies on new ways to undertake research. Knowledge Power focuses on a series of key themes and challenges: the knowledge challenge; the knowledge space; beyond disciplines: systems and superconcepts; knowledge development; requisite knowledge; knowledge power and universities; employers in the knowledge economy; and knowledge power: a sea change?

EDUCGE02 Professional Development in Practice [15 credits]

This module is run by the UCL Centre for Advancement of Learning and Teaching (CALT) which delivers modules to students on a range of MRes and MSc courses across UCL. The module aims to develop students' conceptions of what it means to be a professional and how professional development occurs enabling them to forward their own professional development learning from experience, planning, action and reflection.

Staff

Applying

Application procedures, fees, funding and scholarships

For information, please see the faculty applying information here.

Programme-specific information follows below.

Prior qualifications

Students are required to have a minimum of a 2:1 or equivalent degree from a recognised institution and be a proficient English language speaker.

Contact

If you wish to discuss this course or have any other questions please contact the Course Co-ordinator, Dr Martin Zaltz Austwick, in the first instance.

Opportunities

In addition to focusing on research skills, subject-specific modules provide students with the opportunity to develop an excellence in spatial analysis with the skill set to engage with and contribute to the current debates in urban and spatial continuums.