Geographic Data Science MSc
Our mater'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
Whether you are looking for a funded project or have sourced your own funding, we are interested in hearing from excellent candidates from a variety of academic backgrounds.
Candidate requirements
We are interested in hearing from candidates (1st, 2.1 or equivalent at undergraduate, merit/distinction at MSc) from a variety of backgrounds including but not limited to geographic information systems, geocomputation, quantitative geography social science (geography, planning, sociology etc), social statistics, computer science, physics or mathematics.
Funding
We have on-going funding opportunities that are tied both to our programmes of research, and also the ESRC North West Social Sciences Doctoral Training Centre. Our ESRC Centre for Doctoral Training Data Analytics and Society has now taken the final intake of students.
There are also opportunities for exceptional candidates wishing to self-fund PhD study.
Researcher interests
Members of our lab have broad interests, but we are especially interested in hearing from candidates wishing to pursue research in substantive or methodological topics related to:
- Big Data
- City Structure and Dynamics
- Geodemographics and Social Area Analysis
- Retail and Business
- Social and Geographic Network Analysis
- Social Media
- Geographic Data Visualisation
- Transport
- Wearable Computing/mobile devices
- Energy
- Health, Education, Policing
- Population, Demography and Segregation
For more information, please contact Alex Singleton.
Short courses
We offer a range of short courses that are delivered or facilitated by the Lab. When courses are available these will be added to the website, but are also open to developing bespoke course content. Just get in touch.
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).
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