Scholarship opportunity from ScottishPower Foundation
Apply now for this scholarship, which meets full enrolment costs and provides a generous monthly living allowance of £1,200.
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 conventional and novel sources of data, ranging from censuses and social surveys through to satellite imagery and social media using both web-based and traditional techniques.
More about Geographic Data Science
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.
Mary Lennon, MSc Geographic Data Science student
The MSc in Geographic Data Science is life changing! The skills developed in spatial data analytics are invaluable to both a career in industry and academic research.
"After spending five years as a Geographic Information Systems (GIS) Specialist, I felt something was missing. Projects continually demanded new analytical techniques and innovative technologies that were lacking in the field. Data Science became imperative to my company's bottom line and my personal development. I chose to attend the University of Liverpool to get my MSc in Geographic Data Science to further my career. The program’s promise to develop skills, in an applied setting, for the visualization, modelling and statistical analysis of spatial data was exactly what I needed!
"The academic and research staff are both friendly and knowledgeable. They combine real-world experience and data theory and bring it to the classroom. Practicals range from determining the optimal location for a new Click & Collect convenience store, to analyzing the relationship between house prices and deprivation. Most modules are conducted in a lab format, allowing instructor lead application of the techniques. Small classroom size, with plenty of support staff, assure each student gets the attention they need.
"Personal and academic development does not stop in the classroom. There are a variety of clubs related to Data Science and GIS on campus such as a Python coding club (HiPyLiv) and humanitarian mapping organization (Missing Maps). Further, the Geographic Data Science Lab and Centre for Consumer Data Research (CDRC) offer opportunities to participate in research or work directly with an industrial partner. Through the CDRC I am completing my master’s thesis for a leading online e-tailer. I feel confident looking for employment after graduation. The skills and analytical mentality instilled at the University of Liverpool are crucial to finding employment as a Data Scientist".
Why Geographic Data Science?
The University of Liverpool is a leading centre in the growth area of Geographic Data Science.
This degree benefits from academic staff within the Geographic Data Science Laboratory and the Centre for Spatial Demographic Research.
Students can also gain access to the Consumer Data Research Centre at the University of Liverpool; which was created as part of a £6m investment in Big Data by the Economic and Social Research Council. We have developed world class secure data facilities that provide access to a range of consumer and retail big data.