Semester 1 & 2

Compulsory

Applied Urban Planning Project

A project integrating material from the first three years of the degree to develop a plan to deliver a proposal for a large development project such as mixed-use planning and design intervention or a significant regeneration scheme.

Semester 1

Compulsory

Modelling and Analysis for Urban Planning

The aims of this module are for the students to become proficient with advanced analytical and statistical techniques and to be able to implement these in analysing urban data using appropriate computing software.

Infrastructure Planning

The aim of this module is for the students to understand the relationship between urban planning, spatial analysis and infrastructure provision with a specific focus on the institutional frameworks through which infrastructure projects are planned and delivered.

Mapping and Modelling the Sustainable Development Goals (SDGs) (15 credits)

The aim of this research-led module is to understand how the UN Sustainable Development Goals (SDGs) relate to each other and to model their interactions, with a special focus on the quantitative analysis of Climate, Land, Energy, and Water systems (CLEWs). Students will work with the CLEWs modelling framework, developed as part of the Climate Compatible Growth programme within STEER – the Loughborough Centre for Sustainable Transitions: Energy, Environment and Resilience.

Semester 2

Compulsory

Smart Cities

The aim of the module is to introduce students to the concept of `smart cities, the underlying components of smart city systems and networks and how they can be utilised to overcome urban challenges. The focus is on illustrating how technological achievements and innovations have opened up new opportunities to make cities smarter.

Transport Planning

The aim of this module is to enable students to understand both principles of contemporary transport planning theories, methods and practice.

Geographic Information Systems and Data Management

The aims of the module are to:

  • Introduce the theory and practice of Geographic Information Systems (GIS) and Remote Sensing techniques.
  • Equip students with the key concepts and skills required to perform GIS workflows from data collection, representation, manipulation, analysis and visualisation.