Pure Mathematics and Statistics Aberystwyth University

Overview

The Pure Mathematics and Statistics programme at Aberystwyth University provides a comprehensive foundation in mathematical theory and the practical application of data interpretation. Students explore the collection, classification, and analysis of data to inform strategic decision-making in modern society. This degree develops the analytical thought processes and problem-solving abilities required for high-level professional roles.

Why Pure Mathematics and Statistics at Aberystwyth University?

Mathematics has been a cornerstone of the institution since 1872, offering over 140 years of academic excellence. The department features lecturers who are internationally recognised researchers and committed teachers. This degree is accredited by the Institute for Mathematics and its Applications (IMA), which directly supports your journey toward becoming a Chartered Mathematician.

Tuition Fee Breakdown

• International fee: GBP 21875 per year
• National fee: GBP 9535 per year

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

Syllabus

The curriculum begins with a broad introduction to core mathematical areas before allowing for specialisation in the final year. Modules may include:

• Algebra
• Calculus
• Coordinate and Vector Geometry
• Differential Equations
• Mathematical Analysis
• Probability
• Statistics
• Complex Analysis
• Linear Algebra

Year 2

• Advanced Dynamics
• Applied Statistics
• Distributions and Estimation
• Hydrodynamics
• Abstract Algebra
• Numerical Analysis and its applications
• Real Analysis
• Mathematical Physics

Year 3

• Graphs and Networks
• Group Theory
• Lebesgue Integration
• Norms and Differential Equations
• Probability and Stochastic Processes
• Statistical Inference and Linear Models
• Biological Statistics
• Topology

Careers with Pure Mathematics and Statistics

Graduates are highly sought after for their numerical and data analysis expertise across various sectors. Employment opportunities are frequently found in statistical analysis, computational statistics, and accountancy. Many alumni also pursue successful careers in banking, risk analysis, actuarial work, and financial management.

The skills gained during the programme, such as research, computational proficiency, and effective communication, prepare students for roles in investment analysis and information technology. Additionally, the logical reasoning developed throughout the course is applicable to careers in engineering, science, and teaching.