Study with us
Members of the Lab are involved in the delivery of taught content related to geographic data science, spatial and population analysis more generally and a wide range of substantive domains of application, across all levels within the Department of Geography and Planning.
Geographic Data Science MSc
Our master's course will enable you 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. Read the full course details.
PhD opportunities
We welcome applications from talented, curious researchers ready to push the boundaries of geographic data science. Whether you have secured your own funding or are looking for a funded project, we'd love to hear from you.
Is this for you?
We're looking for motivated candidates with a strong academic record (1st or 2:1 at undergraduate level, or merit/distinction at MSc) from a wide range of disciplines — including geography, GIS, data science, computer science, social statistics, mathematics, physics, sociology, or planning. Interdisciplinary backgrounds are especially welcome.
Funding
We offer a range of funding routes:
- Geographic Data Science Lab research-tied studentships linked to our active programmes, including projects on population mobility, urban inequality, and environmental sensing
- ESRC North West Social Sciences DTP — one of the UK's leading doctoral training partnerships
- Self-funded study for exceptional candidates with an independent funding source.
Research themes we're excited about
Our supervisors bring broad expertise, but we're particularly keen to support PhD research in:
Data science and methods
- Spatial machine learning
- Big data analytics
- Geographic data visualisation
- Social and geographic network analysis
- Digital trace data (social media, mobile signals, satellite imagery, and remote sensing).
Population, mobility and place
- Population demography and segregation
- Geodemographics
- Urban structure and dynamics
- Transport and mobility
- Migration and displacement.
Society, inequality and public services
- Health, education and public services
- Retail and local economies
- Energy and sustainability
- Environmental justice.
Crisis, risk and resilience
- Disaster response and humanitarian action
- Climate-related mobility
- Crisis mapping and situational awareness
- Environmental and conflict sensing.
Alumni stories
Hear from some of our alumni about their time studying at the Lab and how it has helped them in their careers.
Get in touch
Explore our researchers' profiles to find a potential supervisor whose interests align with yours — then reach out. We're always happy to discuss ideas before a formal application.
Career profiles
Geographic Data Scientists have varied career trajectories and work within a range of industry sectors. Read some of our career profiles below from a number of people who are connected to the University of Liverpool and are now working within Geographic Data Science, read their interviews:
- Andrew Hougham (PDF, 76KB)
- Annette Dellevoet (PDF, 184KB)
- Ivo Wengraf (PDF, 156KB)
- Matthew Howe (PDF, 132KB)
- Paul Morgalla (PDF, 150KB)
- Emma McClimont (PDF, 144KB).