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

Philosophy and Statistics

University of St Andrews
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

Philosophy and Statistics is an intellectually unusual and genuinely powerful pairing. Philosophy develops your capacity for rigorous conceptual analysis, the ability to construct and evaluate arguments, and an understanding of the foundational questions about knowledge, logic, language and ethics that underlie every other discipline. Statistics develops your mathematical and computational tools for making sense of data, drawing reliable conclusions under uncertainty and reasoning quantitatively about the world.

Together they create a graduate with both the conceptual depth to question assumptions and the quantitative tools to test them, a combination that is increasingly rare and valuable.

At the University of St Andrews this four-year full-time MA (Hons) brings together philosophy's training in rigorous argument and critical thinking with statistics' mathematical rigour and practical data analysis skills. You will engage with both the historical philosophical tradition and contemporary debates, developing your independence of thought alongside the statistical methods and computing skills needed to analyse data professionally. The degree includes a year abroad, giving you the opportunity to develop your studies in an international context.

Graduates from Philosophy and Statistics degrees are exceptionally well positioned across a range of professional and academic fields. The combination is particularly valuable in research environments where both empirical rigour and conceptual clarity are required, including biomedical research, social science, public policy and data ethics. Many graduates find careers in data science, statistical consulting, quantitative research, actuarial work, finance and technology.

The philosophical training also provides an excellent foundation for postgraduate study in philosophy of science, logic, statistics, data science or related fields, where the ability to think clearly about the foundations of quantitative reasoning is a significant advantage.

Could you get in?
The grades students arrived with
<48 pts3%
64-79 pts2%
112-127 pts2%
144-159 pts2%
160-175 pts4%
176-191 pts1%
192-207 pts9%
208-223 pts13%
224-239 pts12%
240+ pts40%
How they qualified
80% got in with A-levels. The rest came in a mix of ways:
A-levels80%
the IB11%
a foundation year6%
other higher education2%
another degree1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
93%
In work or further study after
93%
Continue past first year
93%
Student satisfaction
What graduates earn over time
Β£27,500
3 years on
Β£33,000
5 years on
What graduates actually go on to do % of leavers
Business, Research and Administrative ProfessionalsHighly skilled35%
Teaching ProfessionalsHighly skilled20%
Administrative occupations10%
Skilled trades occupations5%
Information Technology ProfessionalsHighly skilled25%
Finance ProfessionalsHighly skilled15%
Business and public service associate professionalsHighly skilled5%
Managers, directors and senior officialsHighly skilled5%
What students say National Student Survey
93%
of students are satisfied with the course overall
Teaching94%
Assessment & feedback89%
Academic support82%
Well organised94%
Learning resources91%
Student community92%
In students' own words
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A great decision
The programme genuinely lives up to its reputation. The best part: the course strikes a good balance between theory and practical application. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” local co…
Third year Β· Full-time
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Would do it again
The course has exceeded my expectations. The best part: the course strikes a good balance between theory and practical application. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” good transport l…
Final 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 St Andrews'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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