Compulsory modules
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.
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.
Governing Crises (15 credits)
The module will enable students to develop a critical understanding of the processes and mechanisms available to governments to respond and manage crisis at different levels. The module will introduce students to the key theories, concepts and applications of the emerging field of crisis management. It has been designed to foster students' capacity to critically analyse and apply this knowledge to a diverse range empirical cases and sites.
Research Design for the Social Sciences (15 credits)
The aim of the module is to equip students with knowledge and critical understanding of social science methodologies including issues of research design and ethics. The module introduces students to principles of research design and of data collection and analysis in selected research methods and develops students ability and skills to apply these methods rigorously and reflexively in research practice.
Dissertation in Climate Change Politics and Policy (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.