Applied Mathematics BSc (Hons)

3 Years On Campus Bachelors Program

University of Edinburgh

Program Overview

This three-year degree offers a focused and rigorous study of applied mathematics, ideal for students who enjoy problem-solving and want to understand how mathematical ideas power real-world systems. It suits motivated learners who want strong theoretical foundations paired with modelling, computation, and analytical skills.

Curriculum structure

Year 1

Students begin by developing essential mathematical foundations through courses such as Introduction to Mathematics at University, Introduction to Mathematical Analysis, and Linear Algebra 1. These modules strengthen logical reasoning and analytical techniques, while optional outside courses allow exploration of complementary subjects like physics or informatics.

Year 2

The second year extends core mathematical knowledge with modules including Linear Algebra 2, Elementary Probability and Statistics, Further Analysis and Several Variable Calculus, and Modelling and Computing. Here, students learn to apply mathematics to real systems, work with multivariable concepts, and begin integrating computational tools into their studies.

Year 3

The final year shifts fully into advanced honours-level mathematics. Students engage with core topics such as Honours Algebra, Honours Analysis, Honours Differential Equations, and Honours Complex Variables, while also completing an applied-focused project. Optional modules allow specialisation in areas like stochastic modelling, scientific computing, mathematical physics, or dynamical systems.

Focus areas

Applied mathematics, modelling, numerical computation, scientific computing, dynamical systems, mathematical physics.

Learning outcomes

Graduates develop deep theoretical understanding, proficiency in computational methods, strong analytical modelling skills, and the ability to apply mathematics to complex real-world challenges across science, engineering, and industry.

Professional alignment (accreditation)

Though not tied to a specific professional accreditation body, the programme aligns with quantitative career pathways including finance, data science, engineering analysis, software development, and research.

Reputation (employability rankings)

The University of Edinburgh’s School of Mathematics is consistently ranked among the top institutions in the UK and globally for mathematics, with strong graduate outcomes and high demand for its analytical and computational skillset.

Experiential Learning (Research, Projects, Internships etc.)

When you study Applied Mathematics at Edinburgh, you don’t just learn theory — you apply it. The School of Mathematics supports your growth with dedicated spaces, collaborative environments, and exposure to cutting-edge research.

You’ll have access to MathsBase, a drop-in study centre staffed by tutors, ideal for one-on-one help and peer learning.
MathsHub, inside the James Clerk Maxwell Building, offers social and study zones (with a kitchen and comfy seating) just for mathematics students.
In your final (honours) year, you’ll complete a substantial research project in applied mathematics — this is a real piece of academic work where you choose your area (e.g., mathematical physics, scientific computing, stochastic modelling) and work closely with a supervisor.
You also benefit from the Applied & Computational Mathematics research group, which specialises in dynamics, stochastic methods, continuum mechanics, scientific computing, etc.
There are student challenge projects, like the annual Operational Research (OR) Challenge, where undergraduates tackle real-world problems in small teams.
For more advanced computing and simulation work, the school is connected to the Edinburgh Parallel Computing Centre (EPCC), giving access to high-performance computing resources.

Key Experiential Learning Components

Here are the hands-on and practical elements you can expect in the programme:

Honours Project: A dedicated year-long research project where you define a problem, apply mathematical modelling, computation, and analysis.
Group Work & Presentations: Many honours-level courses build in group work, presentations, and teamwork to mimic real research or industry settings.
Programming & Computing: You'll develop programming skills, especially in numerical computation. The curriculum includes modelling and computing courses.
Seminars and Research Interaction: Through the Applied & Computational Mathematics theme, you’ll be exposed to seminars, guest lectures, and possibly even research projects.
Problem-Solving Challenges: Participate in Mathematics-based challenges such as the OR Challenge, working on optimization and operational research problems.
High-Performance Computing: Use EPCC resources for simulations, computational modelling, or more data-intensive mathematical work.
Peer Support: Ongoing peer-assisted learning via the MathPALS scheme provides academic mentoring and collaborative learning.

Progression & Future Opportunities

Graduates of Applied Mathematics from Edinburgh are known for stepping confidently into analytical, technical, and research-driven careers. Employers value the program’s strong balance of theoretical depth and real-world problem-solving, which prepares students to handle complex data, modelling challenges, and quantitative decision-making. Many graduates move into sectors where mathematical insight directly drives innovation and strategy.

Typical roles include:

Data Analyst
Quantitative Researcher
Software or Algorithm Developer
Scientific or Engineering Modeller

In addition, students benefit from the University’s strong support system and professional networks:

Career support: The University of Edinburgh Careers Service offers one-to-one career guidance, CV development, internship sourcing, and employer networking events tailored to mathematical sciences.
Graduate outcomes and employment: Mathematics graduates from Edinburgh consistently achieve strong employment and further study rates, with many securing roles in finance, technology, energy, scientific computing, and research-based organisations.
Industry connections: Students gain exposure to organisations that frequently engage with the School of Mathematics through projects, guest lectures, and recruitment activity across sectors such as finance, data science, engineering, and technology.
Accreditation value: The degree’s academic reputation and the University’s long-standing standing in mathematical sciences give graduates strong long-term recognition in professional and research environments.
Reputation and outcomes: Edinburgh graduates are widely recognised for their analytical capabilities, technical modelling skills, and readiness to tackle challenges across multiple industries.

Further Academic Progression:

Graduates often choose to build on their skills through postgraduate study in areas such as Applied Mathematics, Computational Science, Data Science, Mathematical Modelling, or related engineering and physical science disciplines. Many progress into MSc or PhD pathways within the University of Edinburgh or other leading global institutions, especially in fields that rely heavily on advanced mathematical reasoning, numerical analysis, and scientific computation.