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Geographic Data Science MSc

Course Description

This programme aims to develop a high level understanding of quantitative and computational geographical methods. This includes skills in GIS software and statistical programming languages, such as R or Python.

Within an applied setting, emphasis is placed on developing skills in the visualisation, modelling and statistical analysis of spatial data using both web-based and traditional techniques.

Human activity are increasingly associated with the generation of large volumes of data. For example, transactional data are collated by retailers for marketing and store location purposes, administrative data are assembled to help with the efficient running of public services, data shadows are created through social media use, and an increased prevalence of smart-card linked transport systems record our travel behaviours.

Many grand human challenges concern problems of a geographical nature; be this how we can mitigate the human impact of climate change; ensure global food and water security; design energy systems that are resilient within the context of future population dynamics; or, how to design future cities where spatial inequities in health and wellbeing might be eradicated? The growing volumes of big data about the form, function and dynamics of human activities and their contexts are providing new opportunities to advance such debates within a framework of Geographic Data Science.

Why Geography?

We’ve exceptional academic staff with expertise in a range of areas:

Geographies of Population and the Lifecourse
Globalisation, Development and Place
Advanced Environmental Analytical Techniques
The study of Environmental and Climate Change.

Career prospects

Our degrees provide pathways into rewarding careers and our graduates have found employment in a wide range of industries and organisations, both in the UK and abroad. Graduates of the Environment and Climate Change MSc have gone on to continue their studies towards a PhD, or are employed in a wide range of positions, including environmental, energy and engineering consultancies, multinational companies (energy), local government, environmental bodies, research positions and teaching.

PhD graduates are now working in academic life as lecturers in Geography, Environmental Science, Economic History, Development Studies and Statistics at universities in the UK and overseas. Others are employed in applied fields, working in Europe, Africa and across the world, for example as professional statisticians (one is now Director of Statistics in Zambia, another working in the Health Service in the UK), development professionals (including a member of staff on the WHO malaria programme in East Africa), and scientists at climate and environmental research centres around the world.

Students will be well placed to undertake a career in social science research at the end of their studies, both in an academic and a non-academic environment.

Visit the Geographic Data Science MSc page on the University of Liverpool website for more details!

Entry Requirements

The normal entry requirement for all our postgraduate programmes is a good first degree (2:1) or above, in a related area from an approved university or equivalent. Applications from those with non traditional qualifications and relevant work experience are also welcomed and will be considered on their individual merits.

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