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Bachelor of Science (with Honours) - BSc (Hons)

Geography with AI

Entry requirements

Here's what you will need to get a place on the Geography with AI course at Manchester Metropolitan University.

Select a qualification to see required grades

A level

B,C,C

To include grade C in Geography

Most popular A-levels studied

The Geography with AI course at Manchester Metropolitan University features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Computing
Geography, earth and environmental studies
SubjectGrade
Computer ScienceB
MathematicsB
Business StudiesC
PhysicsC
PsychologyB
SubjectGrade
GeographyB
BiologyC
PsychologyC
MathematicsD
Business StudiesC
Source: HESA

Course summary

What this course is about

UCAS code: GAI1

Here's what Manchester Metropolitan University says about its Geography with AI course.

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).

Source: Manchester Metropolitan University

Course details

Qualification

Bachelor of Science (with Honours) - BSc (Hons)

Department

Department of Natural Sciences

Location

Main Site | Manchester

Duration

3 Years

Study mode

Full-time

Subjects

• Artificial intelligence

• Geography

Start date

28 September 2026

Application deadline

14 January 2026

Manchester Metropolitan University student reviews

(4.3)
Based on 181 reviews from Manchester Metropolitan University's students and alumni
5 star
52%
4 star
29%
3 star
14%
2 star
4%
1 star
1%
All reviews

Showing 170 reviews

Graduate

2 years ago

The student union was very helpful and put on some great events they helped with any issued and were friendly

(5)
Student Union

Graduate

2 years ago

The uni life was great, enjoyed it thoroughly and would highly reccomend it

(5)
University life

Graduate

2 years ago

It cost alit to go but due to student loans it made it very accessible for me and definitely worth it

(4)
Finance

Graduate

2 years ago

I got loads of support even throughout covid where we weren't going into uni but would get our lectures through Microsoft teams and zoom

(5)
Support

Graduate

2 years ago

The facilities were great I was mainly based in the business school which was huge the library was also great

(5)
Facilities

Graduate

2 years ago

The course was good amd challenging there was plenty of support event throughout covid

(5)
Course

National Student Survey (NSS) scores at Manchester Metropolitan University

The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.

The Geography with AI course at Manchester Metropolitan University features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni

Geography, earth and environmental studies
Artificial intelligence

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

80%

low

How good are teaching staff at explaining things?

95%

med

How often do teaching staff make the subject engaging?

76%

low

How often is the course intellectually stimulating?

76%

low

To what extent have you had the chance to bring together information and ideas from different topics?

87%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

91%

med

How well has your course developed your knowledge and skills that you think you will need for your future?

78%

low

To what extent have you had the chance to explore ideas and concepts in depth?

89%

med

To what extent does your course have the right balance of directed and independent study?

75%

low

How well have assessments allowed you to demonstrate what you have learned?

84%

med

How fair has the marking and assessment been on your course?

89%

med

How often does feedback help you to improve your work?

73%

med

How often have you received assessment feedback on time?

88%

med

How clear were the marking criteria used to assess your work?

82%

med

How easy was it to contact teaching staff when you needed to?

93%

med

How well have teaching staff supported your learning?

89%

med

How well were any changes to teaching on your course communicated?

87%

med

How well organised is your course?

94%

high

How well have the IT resources and facilities supported your learning?

91%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

71%

low

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

80%

low

How clear is it that students' feedback on the course is acted on?

76%

med

To what extent do you get the right opportunities to give feedback on your course?

92%

med

To what extent are students' opinions about the course valued by staff?

75%

low

How well does the students' union (association or guild) represent students' academic interests?

70%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

87%

med

How well communicated was information about your university/college's mental wellbeing support services?

81%

med

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

85%

med

How good are teaching staff at explaining things?

92%

med

How often do teaching staff make the subject engaging?

85%

high

How often is the course intellectually stimulating?

85%

med

To what extent have you had the chance to bring together information and ideas from different topics?

69%

low

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

69%

low

How well has your course developed your knowledge and skills that you think you will need for your future?

92%

med

To what extent have you had the chance to explore ideas and concepts in depth?

69%

low

To what extent does your course have the right balance of directed and independent study?

92%

high

How well have assessments allowed you to demonstrate what you have learned?

85%

med

How fair has the marking and assessment been on your course?

85%

med

How often does feedback help you to improve your work?

62%

med

How often have you received assessment feedback on time?

92%

high

How clear were the marking criteria used to assess your work?

77%

med

How easy was it to contact teaching staff when you needed to?

92%

high

How well have teaching staff supported your learning?

92%

med

How well were any changes to teaching on your course communicated?

92%

med

How well organised is your course?

69%

med

How well have the IT resources and facilities supported your learning?

85%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

69%

low

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

69%

low

How clear is it that students' feedback on the course is acted on?

77%

med

To what extent do you get the right opportunities to give feedback on your course?

85%

med

To what extent are students' opinions about the course valued by staff?

92%

high

How well does the students' union (association or guild) represent students' academic interests?

100%

high

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

85%

low

How well communicated was information about your university/college's mental wellbeing support services?

92%

med

Student information

The Geography with AI course at Manchester Metropolitan University features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Computing
Geography, earth and environmental studies
Mode of study
Full-time90%Part-time10%
Gender ratio
Female18%Male82%
Where students come from
International6%UK94%
Student performance
2:1 or above77%
Number of students2,660
Mode of study
Full-time99%Part-time1%
Gender ratio
Female47%Male53%
Where students come from
International2%UK98%
Student performance
2:1 or above77%
Number of students395
Source: HESA

Graduate prospects

What graduates do next

We have no information about graduates who took Geography with AI at Manchester Metropolitan University.

Earnings after graduation

The Geography with AI course includes content from more than one subject area. Choose an option below for Manchester Metropolitan University graduate earnings across each of those subject areas.

Computing
Geography, earth and environmental studies

Earnings

£28.8k

First year after graduation

£30.7k

Third year after graduation

£33.6k

Fifth year after graduation

Earnings

£23.7k

First year after graduation

£27k

Third year after graduation

£30.5k

Fifth year after graduation

Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Geography with AI.

Source: LEO

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree

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Source: Manchester Metropolitan University