BSc Mathematics with Actuarial Science
Entry requirements
A level: AAA or AABB including Mathematics (grade A) IB: Pass, with 36 points overall with 18 at Higher Level, including 6 points from Higher Level Mathematics (Preferred Mathematics module is Analysis and Approaches, but Applications and Interpretation also considered)
About this course
Bachelor of Science in Mathematics with Actuarial Science, a mathematics degree centred on mathematical and accounting and finance subject areas. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Financial Analysis. Students can specialise in statistics and actuarial science and undertake a final-year project. The first year covers foundational principles through Calculus I, Calculus II, Computational Mathematics, and Introduction to Statistics. The second year progresses to advanced mathematical theory and applications with Analysis, Partial Differential Equations, Statistical Inference, and Statistical Modelling I. In the final year, students complete a compulsory Mathematics Project alongside optional modules spanning areas such as Actuarial Mathematics I, Machine Learning, Financial Mathematics, and Survival Models.
Modules
- Calculus I
- Calculus II
- Computational Mathematics
- Core Skills for Mathematicians I
- First Year Mathematics Workshop
- Introduction to Statistics
- Linear Algebra I
- Linear Algebra II
- Dynamics and Relativity
- Principles of Macroeconomics
- Principles of Microeconomics
- Analysis
- Core Skills for Mathematicians II
- Partial Differential Equations
- Statistical Inference
- Statistical Modelling I
- Accounting and Finance for Non-Specialists
- Algorithms
- Econometrics with Big Data
- Fields and Fluids
- Financial Mathematics
- Fundamentals of Data Science in R
- Geometry and Topology
- Graph Theory
- Group Theory
- Intermediate Microeconomics
- Introduction to Operational Research
- Numerical Analysis
- Portfolio Theory and Financial Markets
- Stochastic Processes
- Vector Calculus and Complex Variable Theory
- Mathematics Project
- Actuarial Mathematics I
- Actuarial Mathematics II
- Advanced Fluid Dynamics
- Advanced Partial Differential Equations
- Complex Analysis
- Complex and Integral Transform Methods
- Computational Statistical Inference
- Design and Analysis of Experiments
- Further Number Theory and Cryptography
- Futures and Options
- Galois Theory
- Geometry and Data
- Hilbert Spaces
- Infinite Groups
- International Banking
- Learning and Teaching Mathematics
- Machine Learning
- Mathematical Biology
- Mathematical Finance
- Mathematical Programming
- Numerical Partial Differential Equations
- Optimization
- Portfolio Theory and Financial Markets
- Project Management
- Relativity, Black Holes and Cosmology
- Statistical Methods in Insurance
- Statistical Modelling II
- Structure and Dynamics of Networks
- Survival Models