BSc Hons Statistics

4 Years On Campus Bachelors Program

University of St Andrews

Program Overview

The BSc (Hons) in Statistics at St Andrews equips you with powerful analytical tools to collect, interpret, and communicate data—skills that apply across science, business, medicine, government, and more. It’s ideal for students who enjoy mathematics, logical thinking, and real-world problem solving.

Curriculum Structure

Year 1
In your first year, you build a solid foundation in mathematics, taking core modules like Mathematics (calculus, basic algebra) or Introductory Mathematics if needed. You also get exposure to statistics even in Year 1 through optional modules, ensuring a gradual transition.

Year 2
In the second year, you dive into core statistical theory: you’ll study Combinatorics & Probability, Linear Mathematics (vector spaces, transformations), and Statistical Inference (how to draw conclusions from data). Alongside, you pick at least one advanced mathematics module — for example Abstract Algebra, Real Analysis, or Multivariate Calculus.

Years 3 & 4 (Honours)
In your third and fourth years, you choose from a rich set of advanced Statistics modules, such as Bayesian Inference, Classical Statistical Inference, Computing in Statistics, Markov Chains & Processes, or Sampling Theory. In your final year you also complete a project, selecting a topic in consultation with faculty, culminating in a report and a presentation.

Focus Areas

Statistical theory, stochastic processes (like Markov chains), computational statistics, Bayesian methods, and data modelling.

Experiential Learning (Research, Projects, Internships etc.)

From your very first days, you’ll be building analytical and computational skills through a blend of lectures, tutorials, lab-based classes, and independent project work. By the time you reach Honours level, you don’t just study statistics — you apply it to real-world problems through a substantial final-year project. Throughout, St Andrews encourages you to engage with its research-active faculty, meaning you’ll be exposed to current work in statistical ecology, statistical medicine, and more. The programme’s strong connection to research makes sure that your learning is not just theoretical, but deeply applied.

Here’s how that plays out in concrete terms:

In second-year modules, around half include computer lab sessions (25–60 students), giving hands‑on experience with statistical software and computational techniques.
In third and fourth years, you pick from a range of advanced specialist modules like Bayesian inference, sampling theory, time series, or Markov processes.
In your final year, you’ll complete a substantial project (in consultation with faculty) where you investigate a topic, write a detailed report, and deliver a presentation.
Teaching is varied and supportive — lectures are supplemented with small-group tutorials, example-classes, and computer classrooms, especially in earlier years.
Assessment combines coursework and exams, ensuring you can demonstrate both your understanding and your applied skills.
The School of Mathematics & Statistics hosts research seminars, and being part of that community gives you exposure to live research discussions and networking with PhD students and faculty.
There are research centres you can connect with — for example, St Andrews is a founding partner of the National Centre for Statistical Ecology, meaning opportunities to work on ecological data and statistical modelling.
You also have the chance to present your work (or get inspired) at student-faculty events like the internal research conference run by the School.

Key Facilities & Support for Your Learning

Mathematical Institute, North Haugh campus — the main building has lecture theatres, tutorial rooms, and a dedicated computer classroom for statistics and maths students.
The Mathematics computer classroom is equipped with PCs, a projector, smartboard — ideal for computational labs.
JF Allen Library (Mathematics Library) is located next to the Mathematics Institute, giving you quick and convenient access to texts, journals, and study space.
Many statisticians in the School are based in the University Observatory / Scott Lang Building, which also houses the Centre for Research into Ecological & Environmental Modelling (CREEM) — giving you a dedicated research environment.
To support your self-study, St Andrews has a Maths & Stats Hub via the Learning & Writing Centre, with interactive guides, resources, and tailored help.

Progression & Future Opportunities

Graduates of the BSc (Hons) Statistics from St Andrews typically go on to roles such as data analyst, quantitative researcher, statistician for financial services, or business intelligence consultant. You’ll be well‑equipped to work in high-impact analytics teams, research-driven organisations, or public policy, thanks to the rigorous statistical training.

Here’s how St Andrews supports that trajectory:

University Services Supporting Employability
- The St Andrews Careers Centre provides one‑to‑one advice, employer workshops, CV support, and networking events.
- A Summer Internship Scheme is offered (six‑week paid internships for second-year students), giving real-world experience early.
- The school’s small‑group teaching model (tutorials) fosters close relationships with faculty, helping you build mentorships and guidance for your honours project.
Employment Stats & Salary Figures
- According to the Graduate Outcomes survey, 93% of mathematical sciences graduates from St Andrews are in work or further study 15 months after graduation.
- Median graduate earnings for mathematical sciences at St Andrews are around £34,500, with a typical range of £26,500–£42,000.
- From the University’s own data in 2020‑21, 84% of graduates were in graduate-level roles or further study, and 50% earned £30,000+.
University–Industry Partnerships
- Through the Careers Centre and internship programmes, students connect with employers across financial services, technology, consulting, and public sector organisations.
- The School of Mathematics & Statistics is research active in areas like statistical ecology, medicine, and molecular biology, meaning your project work (especially in the final year) could align with cutting‑edge research and industry-relevant themes.
Long-Term Accreditation & Reputation
- St Andrews is consistently ranked among the top UK universities, and its School of Mathematics & Statistics has a high employability record.
- The small, personal teaching environment means you don’t just graduate with knowledge — you graduate with strong analytical thinking, problem‑solving, and communication skills, highly valued by employers.
Graduation Outcomes
- About 30% of graduates go on to postgraduate study (in mathematics, computer science, finance, or physics).
- Those entering the workforce find roles in technology firms, financial services (Goldman Sachs, PwC, KPMG are explicitly mentioned), the civil service, insurance, teaching, and more.

Further Academic Progression:
If you finish the BSc (Hons) Statistics, you could continue to:

MMath / Integrated Master’s at St Andrews — switch to an MMath (or equivalent master’s) if you meet the honours-year requirements.
MSc in Statistics / Applied Statistics — either at St Andrews or elsewhere; your strong statistical foundation will make you very competitive.
PhD / Research Degree — with final-year project experience, especially in areas like Bayesian inference or time-series analysis, you’re well prepared to apply for doctoral programmes in academia or industry-focused research.
Interdisciplinary Postgraduate Study — combine your statistics skills with other domains (economics, data science, biology) for cross-disciplinary master’s programmes.