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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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
6.5+
2.7+
70+
125+
4.5+
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
12 Months
Sep
Tuition fees
Domestic
13,900 GBP
International
30,050 GBP
Scholarships
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Geospatial Artificial Intelligence MSc
Newcastle University, Newcastle upon Tyne, United Kingdom
# 101-200QS Subject Rankings
12 monthsProgramme duration
30,050 GBPTuition Fee/year
1Scholarships
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
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:
By covering all major geospatial disciplines, the programme provides a balanced learning experience that is rooted in both theory and practical application.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
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:
By covering all major geospatial disciplines, the programme provides a balanced learning experience that is rooted in both theory and practical application.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Value
$13518
Deadline
30 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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History MPhil; PhD
Linguistics MPhil, PhD
Linguistics and English Language Integrated PhD
Modern Languages MPhil, PhD
Museum, Gallery and Heritage Studies MPhil, PhD
Music MPhil, PhD
Philosophy MPhil, PhD
Rural Studies MPhil, PhD
Translation and Interpreting MPhil, PhD
Business and Management (6)
Accounting and Finance PhD
Accounting and Finance PhD
Business and Management PhD
Business and Management PhD
Economics PhD
Economics PhD
Marketing PhD
Marketing PhD
Engineering and Technology (6)
Chemical Engineering MPhil, PhD
Chemical Engineering MPhil, PhD
Civil Engineering (Environmental) MPhil, PhD
Civil Engineering (Environmental) MPhil, PhD
Civil Engineering (Geotechnical and Engineering Geology) MPhil, PhD
Civil Engineering (Geotechnical and Engineering Geology) MPhil, PhD
Civil Engineering (Structural) MPhil, PhD
Civil Engineering (Structural) MPhil, PhD
Civil Engineering (Transport) MPhil, PhD
Civil Engineering (Transport) MPhil, PhD
Civil Engineering (Water Resources) MPhil, PhD
Civil Engineering (Water Resources) MPhil, PhD
Computer Science Integrated PhD
Computer Science MPhil, PhD
Electrical and Electronic Engineering PhD
Energy MPhil, PhD
Geospatial Engineering MPhil, PhD
Materials Engineering MPhil, PhD
Mechanical and Systems Engineering MPhil, PhD
Nanoscale Science and Technology MPhil, PhD
Life Sciences and Medicine (6)
Ageing MPhil, PhD, MD
Ageing MPhil, PhD, MD
Agriculture MPhil, PhD
Agriculture MPhil, PhD
Animal Science MPhil, PhD
Animal Science MPhil, PhD
Applied Educational Psychology Doctorate (DAppEdPsy)
Applied Educational Psychology Doctorate (DAppEdPsy)
Biology MPhil, PhD
Biology MPhil, PhD
Biomedicine MPhil, PhD, MD
Biomedicine MPhil, PhD, MD
Biosciences MPhil, PhD, MD
Biotechnology (Biological, Agricultural and Environmental Sciences) MPhil, PhD
Biotechnology (Marine Sciences) MPhil, PhD
Biotechnology (Medical Sciences) MPhil, PhD
Cancer MPhil, PhD, MD
Clinical Psychology (DClinPsych)
Clinical and Medical Sciences Education PhD
Dentistry and Dental Sciences MPhil, PhD
Genetics MPhil; PhD; MD
Marine Sciences MPhil, PhD
Medicine and Surgery MPhil, PhD, MD
Microbiology (Biological Sciences) MPhil, PhD
Microbiology (Medical Sciences) MPhil, PhD, MD
Neuroscience MPhil, PhD, MD
Nutrition, Food and Human Health MPhil, PhD
Pharmacy MPhil, PhD
Psychology MPhil, PhD
Natural Sciences (6)
Chemistry MPhil, PhD
Chemistry MPhil, PhD
Environmental Science (Applied and Environmental Biology) MPhil, PhD
Environmental Science (Applied and Environmental Biology) MPhil, PhD
Food and Society MPhil, PhD
Food and Society MPhil, PhD
Geography PhD
Geography PhD
Geosciences MPhil, PhD
Geosciences MPhil, PhD
Marine Technology MPhil, PhD
Marine Technology MPhil, PhD
Mathematics MPhil, PhD
Physics MPhil, PhD
Social Sciences and Management (6)
Biomedical, Nutritional and Sport Sciences PhD
Biomedical, Nutritional and Sport Sciences PhD
Digital Media PhD
Digital Media PhD
Education Doctor of (EdD)
Education Doctor of (EdD)
Education MPhil, PhD
Education MPhil, PhD
Film Studies MPhil, PhD
Film Studies MPhil, PhD
Journalism and Public Relations PhD
Journalism and Public Relations PhD
Law LLM (by research), MPhil, PhD
Media and Cultural Studies MPhil, PhD
Phonetics and Phonology Integrated PhD
Politics PhD
Public Health, Epidemiology and Health Services Research MPhil, PhD, MD
Sociology PhD
Speech and Language Sciences MPhil, PhD
Statistics MPhil, PhD