Course summary
On this postgraduate geographic data science course you will learn to apply data science, machine learning and geographic information system (GIS) techniques. This will enable you to gather, analyse and extract insights from geospatial data to uncover the underlying patterns driving various urban and natural environments. Why choose this course?
- This course is ideal for developing your quantitative data analysis skills to answer questions on spatial, environmental and geographic social science topics.
- It will equip you with the tools to analyse large datasets and make predictions based on machine learning algorithms.
- It benefits from valuable insights from leading academics and encourages your independent thought on the nature of spatial data in society.
- You will acquire practical skills to apply GIS in managing and analysing spatial data across several fields, from social to environmental sciences.
- This course equips you with geospatial skills that are in high demand according to the UK government.
- We offer the only research-led MSc in geographic data science with classes in the evening after 6pm, to help you fit your studies in around work, family and other commitments.
- Birkbeck is a pioneer in geographic information science (GIScience) and we have been teaching it at postgraduate level for over 30 years. Our international teaching team possesses unique expertise in specialised areas of geographic data science, including Big Data analytics, remote sensing, spatial analysis and urban simulation.
- The learning resources for this course include free access to: hundreds of LinkedIn Learning courses related to data science, GIS, programming and machine learning; educational licences for industry-standard commercial software, such as Esri ArcGIS; online access to relevant scientific journals.
- evaluating and assessing different types of digital information
- working with big datasets
- an awareness of different machine learning concepts and how to apply them
- proficiency in Python
- knowledge in R.
- public policy
- environmental agencies
- remote-sensing applications
- software development.
Modules
For information about course structure and the modules you will be studying, please visit Birkbeck’s online prospectus.
Assessment method
Coursework only.
How to apply
International applicants
If English is not your first language or you have not previously studied in English, the requirement for this programme is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests. If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses and foundation programmes to help you improve your English language skills and get your place at Birkbeck.
Entry requirements
At least a second-class honours degree (2:2) or equivalent in geography, computer science or a cognate discipline. In some instances we will consider professional experience in place of a degree. Some experience of Geographic Information Systems is desirable, but is not a requirement. Applications are reviewed on their individual merits and your professional qualifications and/or relevant work experience will be taken into consideration positively. We actively support and encourage applications from mature learners.
Fees and funding
Tuition fees
England | £3900 | Year 1 |
Northern Ireland | £3900 | Year 1 |
Scotland | £3900 | Year 1 |
Wales | £3900 | Year 1 |
International | £6780 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Birkbeck, University of London
Malet Street
Bloomsbury
London
WC1E 7HX
Course contact details
Visit our course pageBirkbeck Student Advice Service
0203 907 0700