University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Geography/Statistics

University of Glasgow Β· Glasgow
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Geography and statistics is a combination that pairs one of the most integrative and contextually rich of the social and natural sciences with one of the most rigorous and transferable of quantitative disciplines. Geography examines the surface of the Earth as the site of human living and natural processes, engaging with the variability of physical and human landscapes and the relationships that bind them together. It addresses questions ranging from coastal management and environmental hazards to migration, urban development, and global solidarity, developing both qualitative and quantitative analytical skills.

Statistics provides the formal mathematical framework for reasoning under uncertainty, collecting and analysing data, and drawing reliable conclusions from complex and variable evidence, skills that are fundamental to the empirical work that geography demands.

At the University of Glasgow, this four-year full-time degree with a year abroad develops both disciplines to a high level. You will study the full range of human and physical geography, developing skills in spatial analysis, fieldwork, quantitative and qualitative research, and independent inquiry, alongside the mathematical foundations and applied statistical methods of the statistics programme. The combination is particularly powerful for research and applied work in geography, where the ability to apply rigorous statistical methods to spatial, environmental, and social data is increasingly essential.

The year abroad provides the opportunity to study geography and statistics in a different academic and cultural environment.

Graduates of this combination are attractive to a wide range of employers who value the ability to collect, analyse, and interpret data in spatial and environmental contexts. Common career pathways include roles in data analysis, market research, environmental monitoring, urban and regional planning, GIS and spatial data analysis, public health, government statistical services, and research. The statistics component opens additional pathways in actuarial science, financial analysis, data science, and consulting.

Many graduates continue to postgraduate study in statistics, data science, environmental science, or geography, deepening their quantitative or applied expertise for research and specialist professional roles.

Could you get in?
The grades students arrived with
80-95 pts1%
96-111 pts1%
112-127 pts8%
128-143 pts6%
144-159 pts11%
160-175 pts11%
176-191 pts7%
192-207 pts14%
208-223 pts14%
224-239 pts9%
240+ pts15%
How they qualified
92% got in with A-levels. The rest came in a mix of ways:
A-levels92%
an Access course5%
the IB1%
other higher education1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
92%
In work or further study after
91%
Continue past first year
81%
Student satisfaction
What graduates earn over time
Β£25,000
3 years on
Β£31,000
5 years on
What graduates actually go on to do % of leavers
Elementary occupations10%
Teaching ProfessionalsHighly skilled15%
Business, Research and Administrative ProfessionalsHighly skilled35%
Conservation and environment professionalsHighly skilled10%
Administrative occupations5%
Information Technology ProfessionalsHighly skilled25%
Business and public service associate professionalsHighly skilled10%
Architects, Chartered Architectural Technologists, Planning Officers, Surveyors and Construction ProfessionalsHighly skilled5%
What students say National Student Survey
81%
of students are satisfied with the course overall
Teaching83%
Assessment & feedback79%
Academic support72%
Well organised87%
Learning resources85%
Student community92%
In students' own words
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Genuinely worthwhile
Coming here has changed how I think. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” the city is a brill…
Class of 2022 Β· Full-time
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Exceeded expectations
The course has exceeded my expectations. The best part: the course strikes a good balance between theory and practical application. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” good transport links…
Third year Β· Full-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of Glasgow's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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