Data Science (Geospatial) MSc, PGDip

The interdisciplinary MSc in Data Science (Geospatial) trains students in Data Science with an emphasis on using the unique characteristics of spatial data (location, distance and spatial interactions) to understand where, when and why things happen. Using a wide range of data types and sources, you will learn how to leverage geospatial data using specialised methods and software (including, but not limited to: R, Python, ArcGIS and machine learning) to better understand the place-based contexts of social, economic and environmental phenomena. The uptake, use, and commercialisation of geospatial data increasingly requires expertise in Data Science so you will be trained in a broad range of data science techniques.

These skills are not limited to a career focused on geospatial data. They address the shortage of qualified data scientists in the UK and abroad; on graduation will be in a strong position for a career in a range of data science sectors. If you select the ‘With Industry’ version of this degree, you will have the opportunity to seek a placement from among a range of commercial, industrial and governmental organisations seeking to gain insight and understanding from geographical data analyses.

NB. The PGDip in Data Science Studies (Geospatial) has the same modules as the MSc but does not include a dissertation. You should have at least a second-class honours degree in any subject.

Students with nonstandard qualifications are encouraged to apply. We also give due consideration to prior professional experience gained by mature students in relevant areas of work. IELTS 6.0 or equivalent.

If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard. Find your country in this list to check equivalent qualifications, scholarships and additional requir