Geospatial Artificial Intelligence
Entry requirements
A 2:2 Honours degree, or international equivalent in the following:
- Engineering (including civil and geospatial), geographical data science
- Maths, natural and environmental sciences, computer science
- Geography, archaeology, planning or other related humanities subjects
- Any other closely related discipline
Months of entry
September
Course content
The Geospatial Artificial Intelligence (Geo-AI) MSc combines modern geospatial engineering with contemporary AI, big data science, and digital technologies, equipping you with in-demand skills which are highly valued by industry.
Are you passionate about the environment? Are you curious about how science, engineering and technology can address global challenges? Do you want to develop advanced digital and geospatial skills that are in global demand across a range of industries?
This master’s programme combines geography, sustainability, and cutting-edge geospatial engineering with artificial intelligence (AI ) and big data science. We will equip you with industry-standard skills and prepare you for a wide range of careers. Geo-AI engineers develop tools and technologies ranging from satellite positioning and earth observation to advanced Geographic Information System modelling and visualisation.
You'll gain skills in:
- AI
- big data
- geospatial science and engineering
The course is ideal for students from scientific backgrounds, including geography, environmental science and earth science. It's also well suited for those looking to improve their geospatial engineering expertise for today’s big data-driven workplace.
This course provides you with the location-based skills required to solve problems by linking different data sets together. This will help you harness data to understand the natural and built environment around us.
You’ll graduate with advanced skills in digital technologies and geospatial analysis. You'll be equipped to apply AI to real-world challenges and drive future environmental and spatial decisions.
You’ll benefit from Newcastle’s leading research in:
- satellite positioning
- photogrammetric computer vision
- spatial modelling
- sustainable land-use planning
By covering all major geospatial disciplines, the programme provides a balanced learning experience that is rooted in both theory and practical application.
What you'll learn
You’ll develop your knowledge and skills to enable you to:
- understand and apply advanced geospatial science, engineering, and AI within modern data frameworks
- acquire, analyse, and synthesise geospatial data to address complex, real-world challenges
- manage and process data using practical skills such as fieldwork, coding, experimental design, and project management
- navigate professional and ethical issues related to location data, AI, and machine learning
- communicate effectively and demonstrate leadership, inclusivity, and sustainability
- collaborate with industry and academic partners to meet professional development needs and prepare for careers or entrepreneurship in the Geo-AI ecosystem
- undertake project-based learning that supports further postgraduate research or specialisation in Geo-AI and related fields
Information for international students
See Newcastle University's course entry for more information
Fees and funding
See Newcastle University's course entry for more information
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- School Admissions Team
- soe.admissions@ncl.ac.uk