Program Overview

Overview

The Geospatial Artificial Intelligence (Geo-AI) MSc combines modern geospatial engineering with contemporary AI, big data science, and digital technologies, equipping students with in-demand skills highly valued by industry.

What You'll Learn

You will develop your knowledge and skills to enable you to:

• understand and apply advanced geospatial science, engineering, and AI within modern data frameworks
• acquire, analyze, and synthesize 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 specialization in Geo-AI and related fields

How You'll Learn

You will be taught using a range of methods, including:

• lectures
• seminars
• practical lab/workshop sessions
• field work
• group work
• case studies

Assessment methods will depend on your modules, but you will 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

Your Development

You will develop skills in:

• applying professional ethics in geospatial practice
• utilizing modern technical skills to capture and analyze 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

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 will 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, including:

• infrastructure
• real estate
• government (public sector)
• events
• environmental planning
• offshore energy
• retail
• urban planning

Quality and Ranking

• 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
• 65% increase in research power since 2014 – Research Excellence Framework 2021
• Global Top 140 University – QS World University Rankings 2026
• Global Top 160 University - Times Higher Education World University Rankings 2025
• Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024

Facilities

You will 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

Fees and Funding

Tuition fees for 2026 entry (per year)

• Home students: £13,900
• International students: £30,050

Entry Requirements

The entrance requirements below apply to 2026 entry.

• Qualifications from outside the UK: We accept applicants who have studied in the following areas: 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.
• English Language requirements: IELTS, Pearson, Duolingo English Test, TOEFL, or other pre-sessional entry requirements.

Admissions Policy

This policy applies to all undergraduate and postgraduate admissions at Newcastle University. It is intended to provide information about our admissions policies and procedures to applicants and potential applicants, to their advisors and family members, and to staff of the University.

Credit Transfer and Recognition of Prior Learning

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.

How to Apply

The course starts in September. 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

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 of £1,500 or submit an official letter of sponsorship. The deposit is payable after you receive an offer to study with us. The deposit is non-refundable, but we will deduct it from your tuition fees when you register.

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

The application portal has instructions to guide you through your application. It will tell you what documents you need and how to upload them. You can choose to start your application, save your details, and come back to complete it later.