You’ll write a dissertation on any aspect of
human or physical geography. There’s a wide range of optional modules in human
or physical geography, plus the option of taking a work experience module to
prepare you for your first job.
Sustainable Cities (GGH3207)
The aim of the module is to explore the challenges of sustainable urban growth in contemporary cities, in the UK and internationally. A key focus is understanding how spatial planning and urban governance can tackle sustainable development and climate change challenges in an increasingly urban world. Using geographical concepts, these issues will be explored through case studies and good practice from a range of cities.
Citizenship, Territory and War (GGH3208)
As Brexit, climate-change protests and national independence movements demonstrate, politics and geography matter. Using contemporary case studies, this module explores the geographies of citizenship, territory and war. We identify and discuss varied forms of spatial governance, from local to national, maritime to global, as well as exploring contemporary processes and ideologies that challenge these forms.
Living Landscapes (GGH3209)
This module introduces students to the geographic study of landscape. The module considers everyday practices of living in landscapes in terms of the construction of identity, memory, and power; how such landscapes come to be portrayed through a variety of media, including film, literature, and music. The module expands students’ understanding of the forms that landscapes can take and the complexity of living therein.
Environmental Politics and Governance (GGH3210)
This module explores the main concepts and forces shaping environmental politics and governance. It examines how science, ethics, interests and power influence environmental debate and decision-making, using case studies of climate change, energy, deforestation, air pollution, marine protection and Antarctica to interrogate how governments and other actors have strived to address global to local environmental challenges.
Global Climate Change (GGP3205)
This module is concerned with climate and environmental change in the past, present and future. Different timescales of climate change and their potential mechanisms are examined in detail. We critically review the process of future climate change prediction and review societal response options.
Dryland Change (GGP3209)
Drylands comprise 47% of the world’s land surface and are home to > 2 billion people. They are highly susceptible to environmental change (human, climate, tectonic), and preserve archives of that change over human to Quaternary timescales. This module builds expertise in reading the geomorphological record of drylands (process and landform), and examines the challenges of living sustainably with these dynamic landscapes.
Work Based Learning in Geography (GGX3203)
This module provides an opportunity for work based learning. Students work with an appropriate host organisation for a minimum of 100 hours, engaged on activities relevant to geographical skills, knowledge and expertise.
Long-term Environmental Change (GGP3211)
Society is dependent on the environment for sustaining life as we currently know it. This module takes a series of environmental challenges and places them in a long-term perspective to place current disruptions in a longer-term context. The module focusses on how we can learn lessons from the past to manage our current and future environment.
Biological Conservation (ENVS3015)
This module examines the pursuit of biological conservation. Drawing on a wide range of case study material, in temperate and tropical, terrestrial and aqueous environments, the module examines the drivers and rationales for biological conservation, and the role of stakeholders, policies, legislation and practices in achieving it.
Big Data & Spatial Analytics (GGX3204)
This module provides an overview of advanced spatial analysis concepts and facilitates practice of data processing and management skills. Data manipulation through programming is introduced and the concept of big data is presented. Themes and practice around the acquisition, processing, analysis, visualisation and application of big data are explored, drawing on examples from across the natural and social sciences.