MSc Urban Data Analytics

Geographic Information Systems (GIS) allow the acquisition, storage, analysis and visualisation of location-based data. GIS are increasingly applied in research and practice across a wide range of disciplines and sectors including environmental assessment and planning.

This module will introduce students to ArcGIS, the most widely used GIS software package. It will enable students developing an understanding of conceptual, theoretical and practical geographical considerations and, most importantly, gaining practical GIS skills for their use and application. These skills will cover spatial data creation, sourcing, management, mapping and geoprocessing.

The module is largely delivered through hands-on computer lab-based practicals, complemented with lectures that will cover theory and analytical themes that GIS are designed to handle. The practicals will focus on the analysis, visualisation and interpretation of spatial data to support environmental and socio-economic assessments, using demonstrative examples and problem-solving exercises. A significant part of the learning will be self-directed, allowing students to develop their skills and spatial awareness through the design and delivery of a spatial analysis project, tailored to individual research and/or interests.

Urban Data Analytics is an increasingly vital discipline in understanding and addressing the complex challenges faced by cities worldwide. In this course, we delve into the intersection of data science, spatial analysis, and urban planning to provide students with a comprehensive understanding of urban data analytics. Whether you are a professional or new to the field, this course is designed to enhance your expertise and proficiency in utilizing data to inform urban decision-making. By the end of the course, students will emerge with a solid foundation in urban data analytics, capable of leveraging advanced data science techniques to derive actionable insights and drive positive change in urban environments.

Remote Sensing is a core focus of modern GIS applications in research and professional / business contexts. This course aims to provide adequate knowledge of the concepts, principles and utility of Remote Sensing technology and to prepare you to apply it to your research interests. It will also provide a sound understanding of remotely sensed digital image processing principles and applications. The specification and use of digital imagery for investigating Earth resources and environmental applications will be discussed. Digital image processing of aerial/space-borne sensors, including radiometric and geometric correction, image enhancement and interpretation, mosaicking, segmentation, and classification techniques and their integration with GIS, will be covered.

The overall goal of this module is to introduce students to the role of cities in promoting future sustainable development. The module explores the multifaceted role that cities plays in interacting with ideas of sustainability across the social, economic, environmental and governance pillars of the UN sustainable Development Goals (SDGs).

Environmental assessment is a mandatory requirement under European and international legislation. Its aim is to ensure that environmental considerations are integrated into planning and decision-making. It applies to spatial planning (e.g. land use, renewable or waste management plans) and to projects (e.g. power stations, incinerators, housing developments and wind farms). This is a research-led module that will introduce students to environmental assessment legislation, processes and practice through lectures, workshops, set readings and research activities.