Compulsory
Research and Professional Practice (15 credits)
The aims of this module are for students to develop research project and proposal ideas and to relate their research experience to environmental management practice through interaction with professionals in a range of careers, with a view to enhancing their own professional development.
Geospatial Risk Modelling for Management (15 credits)
The aims of this module are to introduce students to mathematical and numerical modelling in (i) the simulation of natural hazards and (ii) the application of this in geospatial models of risk. It will provide an opportunity for the student to obtain an understanding of the benefits and limitations of modelling methodologies.
Climate Science into Practice (15 credits)
Climate services is a growth industry involving the translation of climate science into usable formats that support high-consequence decision-making, operating rules, and design of long-lived assets, despite deep uncertainty about the future. The aim of this module is to understand diverse sources of climate risk information and, through practical exercises, learn to implement appraisal frameworks used to operationalise climate science, within complex institutional, ethical and governance landscapes.
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 contextualization in the relevant literature, progressive research methodologies and skills in data analysis, interpretation and writing-up.