MA Hons Statistics

4 Years On Campus Bachelors Program

University of St Andrews

Program Overview

The MA (Hons) in Statistics at St Andrews gives you deep mathematical training plus the ability to analyse and interpret data — valuable in science, business, government, and more. It’s especially well suited for students who want to pair statistics with other non‑science subjects (arts, social sciences), because you study additional subjects alongside your core statistics modules.

Curriculum Structure

Year 1
In your first year, you build a firm mathematical foundation through core modules such as MT1002 Mathematics (or MT1001 if prerequisites demand), along with other compulsory modules and two other subjects of your choice — because the MA route at St Andrews is designed to be broader than a purely science‑based degree.

Year 2
Year 2 is where you begin formal statistics study: you take modules like MT2501 Linear Mathematics, MT2504 Combinatorics & Probability, and MT2508 Statistical Inference. These give you the theoretical underpinnings — probability, random processes, and how to draw conclusions from data — while also continuing at least one of your first‑year non-statistics subjects.

Years 3 & 4 (Honours)
In your third and fourth years, you specialise more deeply: you pick from advanced modules like Bayesian Inference, Classical Statistical Inference, Mathematical Statistics, Sampling Theory, and Time Series Analysis (depending on availability). In the final year, you also complete a project, chosen in consultation with faculty, culminating in a report plus a presentation.

Experiential Learning (Research, Projects, Internships etc.)

When you study the MA (Hons) Statistics at St Andrews, you won’t just learn statistics — you’ll use it. The course is structured so that in the first two years, you build solid mathematical foundations (along with other subjects of your choice), and from the second year onwards, you start applying statistical methods through labs, tutorials, and coursework. By your third and fourth years, you’re selecting specialist modules (like Bayesian inference or time series) and working on a final-year honours project, under the mentorship of research-active faculty. This gives you a real opportunity to explore a statistical question of your choice, develop your problem‑solving skills, and communicate your findings in a report and presentation — just like in real research or industry.

Here’s how St Andrews supports this applied, hands-on learning:

  • In second-year modules, many include computer lab sessions (with 25–60 students), so you gain practical experience using statistical tools and computational methods.

  • From third year onwards, you can choose from advanced, specialist modules — options include Bayesian inference, sampling theory, time series, statistical modelling, and more.

  • In your final (fourth) year, you undertake a substantial individual project, working on a topic you pick in discussion with the faculty. You’ll write a dissertation-style report and present your findings.

  • Teaching is a mix of lectures, small-group tutorials (8–12 students), and examples classes, allowing you to work through problems with direct faculty support.

  • Assessment is balanced — early years combine coursework and exams, while in Honours years modules may be assessed by exam, coursework, or both.

  • You also join a research‑engaged community: the School of Mathematics & Statistics runs research seminars, connecting you with PhD students and faculty.


Key Facilities & Support for Your Learning

  • The Mathematical Institute (North Haugh Campus) houses lecture theatres, tutorial rooms, and a dedicated computer classroom, ideal for lab-based sessions in your second year and beyond.

  • There’s a specialized Mathematics & Statistics library, the JF Allen Library, located near the Mathematics Institute, giving you convenient access to textbooks, academic journals, and reference works.

  • For research-oriented students, part of the Statistics faculty are based in the University Observatory building, which also hosts CREEM (Centre for Research into Ecological & Environmental Modelling).

  • The university offers one-to-one maths and statistics support through CEED — you can book sessions to clarify a tricky topic, get help with data analysis or statistical design, or work on coursework.

  • On the research side, being in St Andrews means you could connect with CREEM, a leading centre for applied ecological and environmental modelling.

Progression & Future Opportunities

Graduates of the MA (Hons) Statistics from St Andrews are highly sought after in roles such as statistical analyst, data scientist, risk analyst, or economic/statistical consultant. The degree equips you with advanced statistical, computational, and analytical skills, preparing you for both high-level industry roles and research positions.

Here’s how St Andrews supports that trajectory:

  • University Services Supporting Employability

    • The St Andrews Careers Centre offers personalised guidance, workshops, employer networking events, and CV/interview support.

    • Students can access the Summer Internship Scheme, gaining paid, hands-on experience in statistics-related fields early in their degree.

    • Small-group tutorials and close faculty support help students develop project work and industry-ready research skills.

  • Employment Stats & Salary Figures

    • Around 93% of mathematical sciences graduates from St Andrews are in employment or further study within 15 months of graduation.

    • Median graduate earnings for mathematical sciences are approximately £34,500, with many graduates earning £26,500–£42,000.

    • Graduates typically move into graduate-level positions or pursue further study, with 50% earning £30,000+ early in their careers.

  • University–Industry Partnerships

    • The School facilitates links with employers across finance, technology, public policy, and consulting through career events and internships.

    • Research-active faculty in areas such as Bayesian statistics, data modeling, and applied statistics provide opportunities for project work aligned with industry needs.

  • Long-Term Accreditation & Reputation

    • St Andrews is consistently ranked among the top UK universities, ensuring strong international recognition of your degree.

    • The MA (Hons) programme emphasizes analytical thinking, problem-solving, and communication, highly valued skills in industry and research.

  • Graduation Outcomes

    • Many graduates continue to postgraduate study in statistics, data science, economics, or finance.

    • Those entering the workforce secure positions in technology firms, financial institutions, consultancy, public sector, and insurance, among others.


Further Academic Progression:
After completing the MA (Hons) Statistics, students can pursue:

  • MSc in Statistics / Applied Statistics — either at St Andrews or other leading institutions, building on your advanced undergraduate knowledge.

  • PhD / Doctoral Research — with strong final-year project experience, especially in applied or theoretical statistics.

  • Interdisciplinary Postgraduate Programmes — such as data science, computational statistics, or economics, leveraging your analytical expertise.

  • Professional Certifications — in data science, actuarial studies, or quantitative finance, complementing the degree for specialised career paths.

Program Key Stats

£33250
£9535
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

A*A*A
3.5
38
90

1320 - 28
30
6
81
No

Additional Information & Requirements

Career Options

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  • Risk Analyst
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