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Overview

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 the largest set of real-time urban data in the UK.

Our curriculum includes training from expert data scientists at the UK’s, 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.

 

Quality and ranking

Professional accreditation review and recognition of professional qualifications in Europe

Professional accreditations are reviewed regularly by professional bodies to ensure they meet the latest industry practices and regulatory standards. This keeps your degree rigorous, relevant, and highly valued by employers, providing a clear pathway into your chosen career.

If you are studying an accredited degree and considering a career in Europe after graduation, it is important to stay informed about international standards. The best resource for current information is the .

This official resource provides essential details on:

• whether your profession is regulated in another country.
• the specific steps you need to take to practice abroad.
• which organisations you should contact to begin the process.

What you'll learn

Phase one: Core foundations in Data Science

You’ll build a solid foundation in programming, statistics, machine learning and data handling and visualisation, using tools such as R and Python.

In your second semester, you’ll explore the theory and applications of data science in greater depth. A skills-based module delivered by NICD will allow you to work on solutions to real challenges drawn from NICD’s client projects.

You’ll also develop your legal skills, focusing on:

• legal frameworks
• data protection, privacy and security
• equality and non-discrimination

Phase two: Applying data science techniques to geospatial data

You’ll discover how to analyse and interpret real-world geospatial data. Through group and independent lab work, you’ll learn how to harness the potential of complex datasets using cutting-edge AI and Machine Learning tools.

You’ll also develop the key research and commercial skills required to formulate and solve data science problems with real-world impact.

Phase three: Capstone project

This in-depth research project combines your knowledge of data science and geospatial data.

This may consist of:

• A research dissertation on a geospatial data science topic
• A group project addressing a geospatial challenge

Investigate a topic that fascinates you, or one that prepares you for your chosen career.

Modules

The module information on our course pages is intended to provide an example of what you will study.

Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.

Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.

Some courses have optional modules. Student demand for optional modules may affect availability.

Data Science Geographic Information Science MSc

You'll take the following compulsory modules:

Compulsory modules	Credits
Data Visualisation and Data Handling	20
Programming and Machine Learning	20
Foundations of Data Science and Artificial Intelligence	20
Data Science and AI in Practice	20
Applied AI and Geospatial Sustainability	20
3D Geospatial modelling, digital twins and AI	20

You'll also take one of the following modules:

Optional modules	Credits
Case Study Project (Applied)	60
Individual Project (Applied)	60

Module information for 2027 entry

The modules listed here show our planned 2027 curriculum, but the links connect to our live 2026 modules (as the 2027 ones are not yet live). Consequently, some titles may differ. Some modules are also listed as inactive, but will be active for 2027 entry. The updated 2027 module details will be published ahead of the academic year.

How you'll learn

Delivery and teaching methods

You’ll be taught using methods including:

• lectures
• seminars
• tutorials
• practical lab sessions
• workshops
• group work
• supervisor meetings
• guided independent study

Assessment methods

Depending on your modules, you'll be assessed through a combination of:

• Computer assessment
• Dissertation
• Essay
• Oral presentation
• PC examination
• Practical lab report
• Portfolio
• Report
• Research proposal
• Written examination

Additional assessment information

Some assessments will be completed on our specialist software, Numbas.

Support

Data Science resources

Before the course begins, you’ll receive a set of resources designed to support your transition into data science. These materials provide a fast-paced refresher on key mathematical concepts, helping bridge the gap between what you’ve learned previously and what you'll encounter on the course. You’ll start your course with confidence and be able to refer to the resources as your learning progresses.

Practical sessions

The course is made up of many practical sessions, allowing you to try out different skills and techniques with the support of academic staff and demonstrators.

Numbas learning software

You'll have access to specialist learning software called Numbas. Developed at Â鶹´«Ã½, it's now used by mathematicians and statisticians worldwide. This innovative software allows you to work on interactive code worksheets, so you can test and refine the mathematics skills you’ll need for data science.

Maths-Aid

Students can make use of Maths-Aid, a team of experts who provide support and advice on all aspects of maths and statistics.

Statistics and Data Science clinic

During your capstone project, you’ll be supported by our Statistics and Data Science Clinic. You can book one-to-one sessions with our expert data scientists. Whether you need help with a technical issue or refining your analysis, tailored support is available to help your project progress. This is in addition to your project supervisor.

Our staff

This course is delivered by:

• School of Engineering
• School of Mathematics, Statistics and Physics

Our course is informed by the latest developments in data science and law. You’ll work alongside academics who are at the forefront of research and industry collaboration, including:

• Centre for Data Science and AI: Driving the development and application of new methods for extracting the value from data
• Statistics and Data Science: World-class research in modern statistics and data science
• Scalable Computing: Internationally renowned for tackling research challenges in high-performance systems, data science, machine learning and data visualisation
• Sustainable and Resilient Development: Using geospatial technologies, we explore how to manage urban growth sustainably, and how to monitor and manage pollution and environmental changes
• Net Zero: Exploring how to transition to Net Zero effectively, from different approaches to travel to the resilience of key energy infrastructure
• Data, Digitisation and AI: Learning how technology such as AI and satellite imagery can help improve insights and decision-making
• Human Health: Using geometric data to understand man-made and natural phenomena, from glacial retreat to earthquakes

We are also home to the UK’s , which collaborates with industry partners across multiple sectors.

Your development

Through a module delivered by the NICD, you’ll develop key professional skills by working through real innovation processes. You’ll take a problem from initial conception through to a practical, client-focused solution.

You’ll also strengthen your teamwork and communication skills by working on a group project. You’ll learn how to present your findings clearly to non-specialist audiences.

Research skills

You’ll learn how to formulate and deliver in-depth and data-driven research projects. Key skills will include formulating robust hypotheses, selecting appropriate analytical methods, analysing data and communicating findings in a clear and compelling way. 

Practical skills

This course is designed to teach important skills that are designed for the workplace. You’ll learn:

• To apply computational, mathematical and statistical techniques to the storage and analysis of data
• To build and analyse statistical models using data and other information sources
• To understand geospatial data science and AI methods and apply them to real-world problems
• To identify opportunities for data-driven innovations that address existing business challenges

You'll also become adept at working independently and in groups. You'll improve your presentation and problem-solving skills through industry-focused challenges and projects.

Work experience opportunities

While this course does not include a formal placement, you'll gain practical experience through working with our industry partners on real-world projects. 

Our Careers Service also offers support in securing work experience and placements.

Your future

Data Science and Geospatial Data skills are in-demand in nearly every industry. You will be able to apply your expertise as a:

• GIS Analyst 
• Surveyor (Engineering, Hydrographic, Land) 
• Spatial Data Specialist 
• Remote Sensing Analyst 
• Geospatial Consultant 

You could also help address challenges in any sector that makes use of complex datasets, including:

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

Further study

Once you graduate, you’ll have the knowledge to progress to PhD level study and further research opportunities in academia.

Industry links

Our geospatial engineering researchers work on groundbreaking projects with partners all over the world. This means we have close links with a variety of notable organisations including:

• Airbus 
• BGS 
• DSTL 
• Esri 
• Knight Frank 
• Leica Geosystems 
• Ordnance Survey
• Defra
• DfT

These companies help inform our teaching and project work and offer support, networking and mentoring opportunities.

We are also supported by an Industrial Advisory Board (IAB) that provides strategic advice and industry insights to support the development of programmes in the School of Computing. The IAB includes representatives from:

• Google
• Meta
• IBM
• The Alan Turing Institute
• Airbus
• Defence Science and Technology Laboratory (DSTL)
• JP Morgan
• Lloyds Bank
• PwC

Dedicated Careers Consultant and Employability Facilitator

Alongside support from our central Careers Service, you’ll benefit from a dedicated Careers Consultant and Employability Facilitator. You can book one-to-one appointments to plan your next steps, and take part in a full programme of employability events and workshops throughout the year.

These careers resources are designed to help you develop your skills, connect with employers and grow your professional network.

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

Facilities

Urban Sciences Building

The Urban Sciences Building (USB) is a flagship £58 million development at the £350 million Â鶹´«Ã½ Helix regeneration site in the heart of Â鶹´«Ã½. Â鶹´«Ã½ Helix brings together:

• academia
• the public sector
• communities
• business and industry

The USB is a living laboratory and has over 4,000 sensors that record detailed research data, which can be used in student projects.

You'll have access to facilities including:

• 300+ PCs with a Raspberry Pi3 on every desk
• large, flexible computer clusters
• collaborative spaces for study or group projects
• dedicated practical space for postgraduate students
• Urban Café

Explore the Urban Sciences Building

Learn more about the Â鶹´«Ã½ Helix

Herschel Building

You'll join the School of Mathematics, Statistics and Physics, based in the Herschel Building.

A well-equipped learning environment will support your studies, and you'll have access to extensive IT facilities for teaching and self-study, including:

• computer-based exercises with instant review of model solutions
• problem-solving video tutorials
• recording system for video capture of lectures, which you can download and watch again to help with your revision
• dedicated study and social spaces, including a computing area.

Explore the Herschel Building

Fees, Funding and Scholarships

Tuition fees for 2027 entry (per year)

Tuition fee increases

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. 

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. 

Search for funding and scholarships

Find funding available for your course

Select your country

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:

• living costs
• tuition fees

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 may have to pay a deposit.

You can check this in the How to apply section.

Funding deadlines

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.

How to apply

Open days and events

Find out about how you can visit Â鶹´«Ã½ in person and virtually

Overseas events

We regularly travel overseas to meet with students interested in studying at Â鶹´«Ã½.

Visit our events calendar for the latest events