BSc Actuarial Science and Mathematics
Entry requirements
A level: A*AA including A* in Mathematics or Further Mathematics A-level
About this course
BSc in Mathematics and Accounting and Finance, merging quantitative techniques with commercial practice. Core topics include Programming, Statistics, Mathematical Modelling, Financial Analysis, Accounting, and Artificial Intelligence & Machine Learning. Students complete a staff-supervised mathematical project in the final year.
Modules
- Microeconomics 1
- Macroeconomics 1
- Linear Algebra
- Real Analysis
- Mathematical Foundations & Analysis
- Introduction to Vector Calculus
- Introduction to Ordinary Differential Equations
- Probability I
- Statistics I
- Foundations of finance: Investments and the time and value of money
- Practical Statistics
- Introduction to Financial Mathematics
- Contingencies 1 - Actuarial Science
- Partial Differential Equations & Vector Calculus
- Linear Regression Models
- Stochastic Processes
- Probability and Statistics 2
- Fundamentals of Finance
- Fundamentals of Financial Reporting B
- Fundamentals of Management Accounting
- Introduction to Corporate Finance and Financial Instruments
- Principles of Mathematical Modelling
- Numerical Analysis 1
- Leadership in Action Online Unit
- Markov Processes
- Tools for Risk Management
- Time Series Analysis
- Multivariate Statistics and Machine Learning
- Generalised Linear Models
- Contingencies 2
- Mortality Modelling in Insurance
- Introduction to Corporate Finance and Financial Instruments
- Technology, Strategy and Innovation
- New Product Development and Innovation
- Marketing
- Management of Knowledge and Innovation
- Financial Derivatives
- Financial Engineering
- Logic and Modelling
- Introduction to AI
- Giving Meaning to Programs
- Teaching and Learning of Mathematics
- Theories of Equity in Education
- Educational Leadership
- Independent Study and Technical Explanations
- The Nuclear Age: Global Nuclear Threats from Hiroshima to Today
- Double Project
- Mathematics Education
- Project (Semester One)
- Project (Semester 2)
- Topology and Analysis
- Analysis and Geometry in Affine Space
- Differential Geometry of Curves and Surfaces
- Advanced Algebra
- Coding Theory
- Hyperbolic Geometry
- Algebraic Geometry
- Number Theory
- Combinatorics and Graph Theory
- Mathematical Logic
- Complex Analysis&Applications
- Wave Motion
- Elasticity and Viscous Fluid Dynamics
- Mathematical Biology
- Methods of Applied Mathematics
- Mathematics of a Finite Planet
- Matrix Analysis
- Numerical Analysis 2
- Problem Solving by Computer
- Mathematics and Applications of Machine Learning
- Martingales with Applications to Finance
- Foundations of Modern Probability
- Medical Statistics
- Mathematical Modelling in Finance
- Tools and Techniques for Enterprise
- Tools & Techniques for Enterprise
- Advanced Technology Enterprise
- Interdisciplinary Sustainable Development
- Formal Logic