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

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

Statistics is the mathematical science of data: the discipline concerned with collecting, organising, analysing, and drawing valid inferences from numerical information. In an age when organisations of every kind generate and depend on data to make decisions, the ability to work with data rigorously and to reason soundly from evidence is one of the most valuable intellectual skills available. Statistics underpins research across science, medicine, government, business, and the social sciences, providing the methodological foundation that allows empirical inquiry to produce reliable knowledge rather than misleading conclusions.

At the University of St Andrews, this four-year full-time MA (Hons) programme allows you to specialise in statistics while developing the mathematical depth and rigour that the discipline requires. You will cover probability theory, statistical inference, linear models, multivariate analysis, time series, Bayesian statistics, and computational statistics, alongside the mathematical foundations in analysis and linear algebra that underpin modern statistical theory. As the current description notes, statistics has many practical applications, including science and medicine, government, business, and education, and the programme develops your capacity to work with data in applied contexts as well as to engage with the theoretical underpinnings of the methods you use.

Computing and data analysis skills receive sustained attention, reflecting the central role of statistical software and programming in contemporary statistical practice.

The programme includes a year abroad, giving you the opportunity to study at a partner university and engage with statistical education and research in a different academic environment.

Statistics graduates are in exceptionally strong and growing demand across virtually every sector that depends on data and evidence. Actuarial science, financial services and risk analysis, pharmaceutical research and clinical trials, government statistical services, data science and machine learning, public health, environmental science, and academic research all draw heavily on statistics graduates. Postgraduate study in statistics, data science, biostatistics, or machine learning is a common route for those seeking research careers or highly specialist technical roles.

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
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
a foundation year5%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
93%
In work or further study after
90%
Continue past first year
93%
Student satisfaction
What graduates earn over time
Β£36,000
3 years on
Β£46,500
5 years on
What graduates actually go on to do % of leavers
Administrative occupations5%
Business, Research and Administrative ProfessionalsHighly skilled35%
Information Technology ProfessionalsHighly skilled25%
Finance ProfessionalsHighly skilled15%
Business and public service associate professionalsHighly skilled5%
Engineering professionalsHighly 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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Exceeded expectations
The course has exceeded my expectations. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, first-year classes can be quite large. On the city β€” local cost of living is manageable if y…
Class of 2023 Β· Full-time
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Would do it again
This is the perfect place to study this subject. The best part: small-group tutorials really push your thinking. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” good transport links make it easy to vis…
Postgraduate 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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