Geospatial Artificial Intelligence MSc
Source: https://www.ncl.ac.uk/postgraduate/degrees/5540f/ Parent: https://www.ncl.ac.uk/postgraduate/degrees/
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Global Top 140 University
QS World University Rankings 2026
Top 170 for Computing Science and Information Systems
QS World University Rankings by Subject 2025
Top 145 for Engineering and Technology
QS World University Rankings by Subject 2025
Overview
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?
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.
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.
There are several scholarships and bursary options available for this course, please see 'Search for funding' in the Fees and Funding section.
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.
Quality and ranking
- Global Top 140 UniversityQS World University Rankings 2026
- Top 145 for Engineering and TechnologyQS World University Rankings by Subject 2025
- Top 25 in the UK and Top 200 in the world for sustainable developmentTimes Higher Education Impact Rankings 2025
- 42% of our research is classified as 4* world-leading researchResearch Excellence Framework 2021
- 65% increase in research power since 2014Research Excellence Framework 2021
- Global Top 145 UniversityTimes Higher Education World University Rankings 2026
- Joint 64th in the world and 22nd in the UK for sustainabilityQS World University Rankings: Sustainability 2026
- Top 170 for Computing Science and Information SystemsQS World University Rankings by Subject 2025
- Top 5 city for affordability in the UKQS Best Student Cities 2026
- World Top 50 and UK Top 5 student cityQS Best Student Cities 2026
- 89th in the worldTIME Magazine: World’s Top Universities 2026
Recognition of professional qualifications outside of the UK
If you’re studying an accredited degree and thinking about working in Europe after you graduate, the best place to find current information is the UK Government’s guidance on recognition of UK professional qualifications in EU member states. This official resource explains whether your profession is regulated in another country, what steps you need to take, and which organisation you should contact.
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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
Modules
You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.
Geospatial Artificial Intelligence MSc modules
Please note: Some modules are currently listed as inactive. These modules will be active for students starting the programme in September 2026.
How you'll learn
You’ll be taught using a range of methods, including:
- lectures
- seminars
- practical lab/workshop sessions
- field work
- group work
- case studies
Depending on your modules, you'll be assessed through a combination of:
- Case study
- Computer assessment
- Dissertation
- Lab exercise
- Practical lab report
- Poster
- Portfolio
- Problem-solving exercises
- Reflective log
- Written exercise
Additional assessment information
In Semester 3, you’ll complete a 60-credit independent research project, including a written dissertation. Most projects involve industry collaboration and let you explore a topic of personal or professional interest.
You’ll receive one-to-one academic guidance via a personal tutor and a dedicated dissertation supervisor. Tutors are available during office hours, and you’ll benefit from a supportive research environment throughout the course.
Your teaching will be led by experts in their fields, including:
Professor Jon Mills specialises in:
- Development and assessment of new and integrated earth observation sensor systems and platforms
- Novel methods and models for fusing multi-modal earth observation data
- AI/machine learning for image information extraction
Dr Craig Robson specialises in:
- Using spatial data through data-science approaches to solve complex problems
- The application of digital technologies such as AI, ML, BIM and digital twins in Engineering contexts and for exploring the impacts of climate change
- Data handling and management for complex, diverse geospatial datasets
- Approaches for data visualisation and decision support tools for real-time decision making
Professor Peter Clarke specialises in:
- Using global satellite geodesy to observe the seasonal water cycle, climate change, sea level, and glacial isostatic adjustment
- Global geodetic reference frames – the basis of all spatial data
- Geodetic observations of the earthquake cycle and associated geophysical inverse theory and data assimilation methods
Dr Maria-Valasia Peppa specialises in:
- Integrating multimodal and multiscale geospatial data and Earth Observations from various sources (e.g. drones, satellites, laser scanners, digital cameras, GNSS etc)
- Applying photogrammetric, remote sensing, and computer vision techniques to real-world problems relating to the natural and built environment
- Applying AI/machine learning with drone and satellite imagery to monitor water security-related challenges
Dr Achraf Koulali Idrissi specialises in:
- Using geodetic observations to study the active deformation of the Earth’s crust
- Measuring 3D crustal movements to understand better modes of strain accumulation on major faults and the Earth’s rheology
- Measuring the glacial isostatic adjustment in Antarctica using satellite geodetic observations.
- Applying advanced machine learning methods, including physics-informed approaches, to extract meaningful geophysical signals from complex datasets.
Dr Henny Mills specialises in:
- Engineering Surveying – Delivering in-depth instruction on modern surveying techniques and instrumentation, including total stations, GNSS, and levelling, with emphasis on their application in engineering and the built environment.
- Spatial Data Engineering – Providing expertise in the design, processing, and management of spatial datasets using geospatial databases, with a focus on ensuring data integrity, interoperability, and practical application in engineering contexts.
- Building Information Modelling (BIM) – Instructing on BIM methodologies and tools for the digital representation of physical and functional characteristics of built environments, highlighting workflows, collaboration, and lifecycle data integration in engineering projects.
Dr Alistair Ford specialises in:
- Development of transport cost models through complex network analysis
- Cellular automata modelling and multi-criteria analysis
- Development of decision-support tools within commercial GIS software
Xiang Xie specialises in:
- Digital transformation of the built environment
- Digital twin for existing built assets
- Data-centric facilities asset management
- Energy informatics for the decarbonisation of buildings
- Whole-life carbon assessment for urban infrastructure
Professor Philip James specialises in:
- Data management and big data systems
- Spatial data, maps, and mapping technologies
- Web-based information system development
- Data fusion and integration for analytics and visualisation
- Smart cities: technical design, citizen participation, and governance
- Sustainable and accessible data systems for research and public use
Philip Robinson Library (Student Texts Collection)
Your development
You’ll develop skills in:
- applying professional ethics in geospatial practice
- utilising modern technical skills to capture and analyse spatial data
- communicating geospatial and digital data effectively to diverse audiences
- independent learning and critical reflection to solve complex problems
- collaborating across disciplines to create inclusive, sustainable solutions
- leadership, project management, and entrepreneurial thinking
You will also:
- adapt communication for both technical and non-technical stakeholders
- work in teams to design and evaluate Geo-AI solutions
- lead real-world, industry-informed projects
- promote sustainability through ethical geo-AI practice
Course information: Disclaimers, policies and changes
Previous: OverviewNext: Entry requirements
Entry requirements
The entrance requirements below apply to 2026 entry.
Academic 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
Qualifications from outside the UK
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English Language requirements
Select your qualification IELTSPearsonsDuolingo English TestTOEFLOtherPre-Sessional Entry - 6 weeksPre-Sessional Entry - 10 weeks
Previous: Course detailsNext: Careers
Your future
This course prepares you for a wide range of careers, from applying Geo-AI technologies in climate change impact assessment to developing new Geo-AI solutions in the expanding digital and data sectors.
You'll be well prepared for roles such as:
- GIS Analyst
- Surveyor (Engineering, Hydrographic, Land)
- Spatial Data Specialist
- Remote Sensing Analyst
- Geospatial Consultant
You could also enjoy a career in a wide range of sectors:
- infrastructure
- real estate
- government (public sector)
- events
- environmental planning
- offshore energy
- retail
- urban planning
Further study
This course provides a route into PhD level study, offering a strong foundation in Geospatial and AI. As a graduate of this course, you’ll be prepared for PhD-level study and advanced research opportunities in academia.
Industry/business links
We work closely with leading organisations, including:
- Airbus
- BGS
- DSTL
- Esri
- Knight Frank
- Leica Geosystems
- Ordnance Survey
These industry connections inform our teaching and support mentoring, project collaboration, and networking.
Our Careers Service
Our expert Careers Service is here to help you take the next steps in your professional life. We will support you while you’re studying with us and for up to three years after you graduate.\ \ You will have access to expert one-to-one advice and guidance through our campus careers centre and online, along with digital resources, workshops, networking opportunities, and careers and recruitment events.\ \ We’ve been awarded 5 QS Stars for Student Employability (2025). Many of our degrees are shaped by strong links with national and international businesses. We are committed to helping you access real-world experience opportunities and develop key skills through paid work placements and internships.
Visit our Careers Service website
Previous: Entry requirementsNext: Facilities
Facilities
Based within Newcastle’s integrated School of Engineering, you’ll have access to specialist labs, industry-standard equipment and workshops used across all engineering disciplines, including:
- Makerspace for prototyping and innovation
- Dedicated Geospatial Laboratory for Geo-AI data processing and analysis
- Geospatial Field Equipment Store, including total stations, GNSS receivers, Terrestrial Laser Scanners, Cameras and Mobile Mapping
- Remotely Piloted Aerial Vehicles
- Rooftop GNSS test facility
Find out more about our facilities
Previous: CareersNext: Fees & funding
Fees, Funding and Scholarships
Tuition fees for 2026 entry (per year)
| Qualification: MSc Full time | |
|---|---|
| Home students Full time: 12 months | Tuition fees (per year) £13,900 |
| International students Full time: 12 months | Tuition fees (per year) £30,050 |
As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.
EU, other EEA and Swiss nationals - tuition fee status
Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.
EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support. You may be eligible for a scholarship worth 25% off the international fee. Search our funding database.
If you are unsure of your fee status, check out the latest guidance here.
Scholarships
We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our searchable postgraduate funding page for more information.
What you're paying for
Tuition fees include the costs of:
- matriculation
- registration
- tuition (or supervision)
- library access
- examination
- re-examination
- graduation
Find out more about:
If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.
You can check this in the How to apply section.
If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.
For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.
Search for funding and scholarships
Find funding available for your course
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Previous: FacilitiesNext: How to apply
How to apply
Before you start
Start Dates
The course starts in September.
Closing Dates
There is no application closing date for this course.
We suggest international students apply at least two months before the course starts. This is so that you have enough time to make the necessary arrangements.
Deposit
All International students
If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you must pay a deposit or submit an official letter of sponsorship. The deposit is payable after you receive an offer to study with us. This deposit is non-refundable and will be deducted from your tuition fees when you register. You may also be subject to academic and English language qualification verification, confirmation of funds and credibility interviews.
International students who received an offer before 18 March 2026
- You are required to pay a £1,500 deposit or submit an official letter of sponsorship.
International students Bangladesh, Ghana, Myanmar, Nigeria, Sri Lanka, and Pakistan who received an offer after 18 March 2026
- You are required to pay a deposit of £5,000 or submit an official letter of sponsorship by 01 August 2026.
All International students (excluding those from the markets above) who received an offer after 18 March 2026
- You are required to pay a deposit of £1,500 or submit an official letter of sponsorship by 01 August 2026.
ATAS (Academic Technology Approval Scheme)
You may need an ATAS (Academic Technology Approval Scheme) clearance certificate. You'll need to get this before you can get your visa or study on this programme. We'll let you know about the ATAS requirement in your offer letter.
Programme codes
| Qualification: MSc Full time | |
|---|---|
| Full time: 12 months | Programme Code: 5540F |
Using the application portal
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If you’re ready, you can select Apply Online and you’ll be taken directly to the application portal.
Alternatively you can find out more about applying on our applications and offers pages.
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If you have specific questions about this course you can contact:
School of Engineering\ School Admissions Team\ Email: soe.admissions@ncl.ac.uk
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