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Masters
UCL (University College London)
Urban Spatial Science MSc
UCL (University College London)

Urban Spatial Science MSc

UCL (UNIVERSITY COLLEGE LONDON)

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Different course options

Full time | UCL (University College London) | 1 year | SEP-25

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Regional Planning

Course Summary

The Urban Spatial Science MSc programme equips students with a multi-disciplinary and critical perspective on approaches to understanding, monitoring and improving global urban resilience and sustainability through the use of data. The programme is composed of three pathway options: (1) Smart Cities and Urban Policy, (2) Modelling and Simulation, and (3) Data Visualisation. Core concepts applicable to all programme pathways provide a foundation in urban spatial science, with pathways supporting optional thematic specialisation. The MSc is deliberately cross-disciplinary, drawing on staff with backgrounds in geography, planning, computer science, physics, as well as the arts and humanities.Taught content explores the theoretical, social and scientific foundations of the modern built environment through a geo-spatial, data-oriented lens. We also cultivate a practical appreciation of the technical and methodological ‘state-of-the-art’ associated with urban analytics and data-driven decision making, including: mathematical, statistical and simulation modelling, computer programming, spatial analysis and visualisation. Importantly, these practical skills are underpinned by broad theoretical perspectives on demographics, economics, form and function, network interactions and complexity, governance and policy, planning and, crucially, urban science.

Modules

Geographic Information Systems and Science (15 Credits) - Core
The purpose of this module is to equip students with an understanding of the principles underlying the conception, representation/measurement and analysis of spatial phenomena. As such, 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 spatial analysis. It is concerned with unearthing and understanding the importance of spatial data in a range of contexts. The module is designed to have a large practical component in order that students can use the latest software and techniques to analyse and infer from contemporary datasets. The module is taught predominantly in R but also covers basic concepts in QGIS. The intention is that students will complete the course with a broad knowledge of spatial analysis which they can draw on for their dissertation and further study or employment.
MSc Smart Cities Dissertation (60 Credits) - Core
Quantitative Methods (15 Credits) - Core
Urban Systems Theory (15 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£13,500

International fees
Course fees for EU and international students

For this course (per year)

£39,800

Entry requirements

A minimum of an upper second-class Bachelors degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard.

University information

UCL (University College London)-Overview
Uni profile Get prospectus

UCL (University College London) is consistently ranked among the top ten universities in the world, conducting leading research across a wide range of subject areas. Throughout its long and prestigious history, it has inspired and educated countless minds and produced over 30 Nobel prize recipients. With one campus located in the heart of Bloomsbury and a second campus in vibrant east London, the university is home to over 50,000 students...more

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