Applied Mathematics University of Aberdeen

Overview

The Applied Mathematics BSc at the University of Aberdeen provides a comprehensive mathematical education within a prestigious centre for research and teaching. This programme is designed for students who wish to understand how abstract theories are applied to solve complex problems in the physical world. By combining rigorous logical training with practical applications, the degree prepares graduates for high-level technical roles.

Why Applied Mathematics at the University of Aberdeen?

Students benefit from a thriving academic environment that has been home to legendary figures such as James Clerk Maxwell and Colin Maclaurin. The department offers an excellent student experience characterised by small class sizes, particularly in the Honours years where groups typically consist of 25 students or fewer. This ensures personalised support from enthusiastic staff who are active in the Institute for Pure and Applied Mathematics. The university’s involvement with the Institute for Complex Systems and Mathematical Biology further enhances the interdisciplinary nature of the studies, linking mathematics with cutting-edge biological research.

Tuition Fee Breakdown

• International fee: GBP 24800 per year
• National fee: GBP 1820 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum transitions from foundational mathematical principles to advanced modelling and nonlinear dynamics. Modules may include:

• Calculus
• Algebra
• Set Theory
• Probability
• Linear Algebra
• Analysis
• Group Theory
• Differential Equations
• Financial Mathematics
• Nonlinear Dynamics & Chaos Theory
• Modelling Theory
• Optimisation Theory

Careers with Applied Mathematics

Graduates of this programme are highly sought after by employers due to their advanced problem-solving, decision-making, and logical thinking capabilities. Many alumni secure positions in the science and technology sectors, as well as in business and banking. Common career paths include roles as data scientists, actuaries, economists, and market analysts. The technical expertise gained also provides a strong foundation for careers in engineering, computer science, and professional teaching.