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Geography with AI at Manchester Metropolitan University - UCAS

Course options

Course summary

Explore the forces that shape our planet and harness the power of technology to understand them, with our BSc (Hons) Geography with AI degree. This innovative course combines the study of physical and human geography alongside artificial intelligence applications, preparing you to tackle future-focused challenges surrounding areas such as climate change, urban development, and environmental sustainability.  You’ll build a strong foundation in geographical thinking, data analysis, and Geographical Information Systems (GIS), while also learning how to design, test, and apply AI systems. From coding fundamentals to machine learning and predictive modelling, you’ll see how artificial intelligence can transform the way we collect, analyse, and interpret geographical data. Your learning here goes beyond the classroom - Manchester offers a vibrant “city laboratory” for local fieldwork, supported by day trips across the North West and overseas field courses. With the option to study abroad or complete a placement year, you’ll graduate prepared to help shape a more sustainable and resilient future.  Features and Benefits

  • Gain interdisciplinary experience. Combine deep geographical knowledge with advanced AI and data science skills, preparing you to solve complex spatial and environmental challenges.
  • Graduate ready for the future. Build expertise in the exciting and fast-growing field of artificial intelligence and stand out to employers seeking future-focused talent.
  • Professional study environment. Study in our £115m Dalton building, designed for collaboration, innovation and world-class learning and research.
  • Study in a city of science. Manchester leads the UK in AI readiness and sits on the doorstep of four National Parks - offering the perfect blend of innovation and diverse landscapes for geographical exploration.
  • Go beyond the classroom. Alongside access to our high-spec laboratories, you’ll take part in field trips across the UK and overseas - with opportunities available every year of your degree.
  • Learn alongside leading researchers. 100% of our research impact in Earth Systems and Environmental Sciences is rated world-leading or internationally excellent (REF 2021).


How to apply

Application codes

Course code:
GAI1
Institution code:
M40
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

GCSE grade C/4 or above in English Language or Pass in Level 2 Functional Skills English and GCSE grade C/4 or above in Mathematics or Pass in Level 2 Functional Skills Mathematics The level 2 requirements may also be met through the level 3 course requirements for the course; please contact the University directly if you require further information.


Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

https://www.mmu.ac.uk/study/undergraduate/course/bsc-geography-with-ai/september-2026#fees
Geography with AI at Manchester Metropolitan University - UCAS