MMath Mathematics
Entry requirements
A level: ABB IB: 33 including 6 in Higher Mathematics. BTEC: D*DD in relevant diploma, when combined with A Level Mathematics grade A.
About this course
MMath (Hons) in Mathematics, spanning four years of advanced study. Core topics include Data Analysis, Statistics, Mathematical Modelling, Research Methods, and Artificial Intelligence & Machine Learning. The programme leads to a master's qualification upon completion of the four-year curriculum.
Modules
- INTRODUCTION TO STUDY AND RESEARCH IN MATHEMATICS
- MATHEMATICAL IT SKILLS
- NUMBERS, GROUPS AND CODES
- DIFFERENTIAL EQUATIONS
- VECTOR CALCULUS WITH APPLICATIONS IN FLUID MECHANICS
- NUMERICAL METHODS
- CLASSICAL MECHANICS
- COMPLEX FUNCTIONS
- LINEAR ALGEBRA AND GEOMETRY
- STATISTICS
- PROBABILITY
- METRIC SPACES AND CALCULUS
- COMMUTATIVE ALGEBRA
- FINANCIAL MATHEMATICS
- OPERATIONAL RESEARCH: LINEAR AND CONVEX METHODS
- STEM COMMUNICATION AND EDUCATION
- BECOMING ENTREPRENEURIAL
- FURTHER METHODS OF APPLIED MATHEMATICS
- CARTESIAN TENSORS AND MATHEMATICAL MODELS OF SOLIDS AND VISCOUS FLUIDS
- NUMERICAL METHODS FOR ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS
- QUANTUM MECHANICS
- RELATIVITY
- MORE IS DIFFERENT: STATISTICAL MECHANICS, THERMODYNAMICS, AND ALL THAT
- MATHEMATICAL BIOLOGY
- NUMBER THEORY
- GROUP THEORY
- DIFFERENTIAL GEOMETRY
- GAME THEORY
- MATHEMATICS OF NETWORKS AND EPIDEMICS
- COMBINATORICS
- THE MAGIC OF COMPLEX NUMBERS: COMPLEX DYNAMICS, CHAOS AND THE MANDELBROT SET
- TOPOLOGY
- THEORY OF STATISTICAL INFERENCE
- NETWORKS IN THEORY AND PRACTICE
- APPLIED PROBABILITY
- STOCHASTIC THEORY AND METHODS IN DATA SCIENCE
- MATHEMATICS OF MACHINE LEARNING
- MATHEMATICS INTERNSHIP
- INTRODUCTION TO STRING THEORY
- WAVES, MATHEMATICAL MODELLING
- INTRODUCTION TO MODERN PARTICLE THEORY
- ASYMPTOTIC METHODS FOR DIFFERENTIAL EQUATIONS
- ELLIPTIC CURVES
- GEOMETRY OF CONTINUED FRACTIONS
- ALGEBRAIC GEOMETRY
- GALOIS THEORY
- ELLIPTIC CURVES
- RIEMANN SURFACES
- DISSERTATION FOR MMATH
- MANIFOLDS, HOMOLOGY AND MORSE THEORY
- LINEAR DIFFERENTIAL OPERATORS IN MATHEMATICAL PHYSICS
- INTRODUCTION TO STRING THEORY
- QUANTUM FIELD THEORY
- ADVANCED TOPICS IN MATHEMATICAL BIOLOGY
- WAVES, MATHEMATICAL MODELLING
- INTRODUCTION TO MODERN PARTICLE THEORY
- ASYMPTOTIC METHODS FOR DIFFERENTIAL EQUATIONS
- DYNAMICAL SYSTEMS
- REPRESENTATION THEORY OF FINITE GROUPS
- GEOMETRY OF CONTINUED FRACTIONS
- ALGEBRAIC GEOMETRY
- GALOIS THEORY
- SINGULARITY THEORY OF DIFFERENTIABLE MAPPINGS
- FURTHER METHODS OF APPLIED MATHEMATICS
- CARTESIAN TENSORS AND MATHEMATICAL MODELS OF SOLIDS AND VISCOUS FLUIDS
- QUANTUM MECHANICS
- GROUP THEORY
- LINEAR STATISTICAL MODELS