BSc Mathematics for the Modern World with a Professional Placement Year
Entry requirements
A level: AAB (B in Maths)
About this course
BSc in Mathematics, providing a broad education across pure, applied, and computational areas. Core topics include Data Analysis, Statistics, Mathematical Modelling, Entrepreneurship, and Artificial Intelligence & Machine Learning. An industrial placement year in year three provides an opportunity to apply mathematical knowledge in a professional setting. Modules span a wide range from abstract algebra and differential geometry to Big Data Technologies and the Mathematics of AI and Deep Learning.
Modules
- Computing for Mathematics
- Foundations of Mathematics I
- Foundations of Mathematics II
- Linear and Differential Equations
- Probability and Statistics
- Mathematical Creativity, Communication and Exploration
- Linear Algebra and Multivariable Calculus
- Probability Theory and Stochastic Simulation
- Operational Research
- Modern Mathematical Computing
- Entrepreneurship
- Abstract Algebra
- Mechanics
- Industrial Training
- Mathematics for Global Impact
- Big Data Technologies
- Mathematics of AI and Deep Learning
- Developing Mathematics Teachers for Future Generations
- Student Driven Topics in Mathematics
- Algebraic Topology
- Differential Geometry of Curves and Surfaces
- Introduction to Number Theory 2
- Algebra II: Rings
- Algebra III: Fields
- Complex Analysis and Functional Series
- Knot Theory
- Methods of Applied Mathematics
- Fluid Dynamics
- Solid Mechanics
- Stochastic Processes for Finance and Insurance
- Statistical Modelling
- Time Series
- Algorithms and Heuristics
- Optimisation
- Game Theory