Kickstart your career in data science, and learn how geospatial data can help shine a light on the world’s biggest challenges.
Climate change. Transport. Social equity. The future of our cities.
Addressing these issues requires a strong understanding of location data, from traffic flows to extreme weather patterns.
In this conversion course , you’ll learn the skills required to begin your journey in data science, with a focus in geospatial data.
You'll build your skills in programming, statistics and the latest AI and machine learning techniques. You’ll then apply these methods to geospatial data, in lab sessions using existing complex datasets.
This course focuses on developing practical skills that prepare you for the workplace. You’ll handle and analyse spatial data, and tackle projects based on real-world challenges.
Our Geospatial Engineering group has existed for more than six decades. We're delivering world-class research on themes from human health to sustainable and resilient development. We are also home to the Urban Observatory, the largest set of real-time urban data in the UK.
Our curriculum includes training from expert data scientists at the UK’s National Innovation Centre for Data (NICD) , who help businesses and organisations harness the potential of their data.
You’ll get practical experience with state-of-the-art industry equipment and learn about the latest advances in the field - from real-time AI data analysis to digital twins.
Who this course is for
This conversion course is for applicants who do not hold a degree in computer science or a related computational field.
It is ideal for those who wish to develop skills for a geospatial data science career. Graduates will be able to apply AI and machine learning techniques to geospatial-based challenges such as urban planning, environmental monitoring or climate analysis.
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The entrance requirements below apply to 2027 entry .
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Recognition of Prior Learning (RPL) can allow you to convert existing relevant university-level knowledge, skills and experience into credits towards a qualification. Find out more about the RPL policy which may apply to this course