Compulsory modules
Nature-Based Solutions for Climate Resilience (15 credits)
The aim of this module is to provide students with a critical theoretical understanding of the principles which underpin nature-based solutions and to equip students to design and perform whole-system assessment of nature-based solutions for climate change resilience.
The Global Financial System under Climate Change (15 credits)
The central aims of this module are to:
- Develop a diversity of perspectives to examine the contemporary financial system.
- Critically consider the relations between the global financial system and climate change.
Research for Impact and Management (15 credits)
The aims of this module are for students to develop knowledge, understanding and skills in research for both academic and management applications. First, students develop dissertation projects and present them as proposals. Then they study approaches used to evaluate the effectiveness of environmental management interventions, including a field visit to a long-term ecological experiment.
Economic Modelling and Policy for Sustainable Development (15 credits)
The aim of this research-led module is to understand policy options and their economic impacts on sustainable development, with a focus on greenhouse gas (GHG) mitigation and adaptation in the energy sector. Students will gain hands-on experience with OSeMOSYS, a powerful open-source energy modelling tool, developed as part of the Climate Compatible Growth programme within STEER – the Loughborough Centre for Sustainable Transitions: Energy, Environment and Resilience.
Dissertation in Climate Change Science and Management (60 credits)
The principal aim of this module is to produce an original, critical piece of research specific to the programme on which a student is registered. An original analysis of data is expected, which may use primary data or secondary data or a combination of the two, with appropriate contextualisation in the relevant literature, progressive research methodologies and skills in data analysis, interpretation and writing-up.