MMath Mathematics with Data Science
Entry requirements
A level: AAB-ABB. / Required subjects: Mathematics at Grade A IB: 34-33 / Required subjects: Mathematics Applications and Interpretations HL6 or Mathematics Analysis and Approaches HL6/SL7. BTEC: DDD. Additionally, A-level Mathematics grade A.
About this course
MMath in Mathematics and BSc (Hons) Data Science, integrating rigorous mathematical theory with modern computational techniques over four years of study. Core topics include Programming, Control Systems, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Communication & Writing, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning.
Modules
- Calculus
- Algebra
- Real Analysis 1
- Probability And Statistics
- Linear Algebra
- Classical Dynamics
- Mathematical Programming And Professional Skills
- Multivariable Calculus
- Ordinary Differential Equations
- Operations Research And Optimization
- Mathematical Statistics
- Real Analysis 2
- Curves And Surfaces
- Functions Of A Complex Variable
- Numerical And Computational Methods
- Stochastic Processes
- Linear Statistical Models
- Linear Pdes
- Groups & Rings
- Inviscid Fluid Dynamics
- Bayesian Inference For Data Sciences
- Advanced Algebra
- Graphs And Networks
- Quantum Mechanics And Quantum Computing
- Mathematical Methods
- Financial Methods And Quantum Optimisation
- Manifolds And Topology
- Literature Review
- Lagrangian & Hamiltonian Dynamics
- Stem Education And Public Engagement
- Mathematical Optimisation
- Mathematical Ecology And Epidemiology
- Mathematical Fluid Mechanics
- Literature Review Ii
- Mathematics Of Data Science
- Artificial Intelligence And Financial Informatics
- Financial Markets And Derivative Pricing
- Principles Of Data Science
- Mathematical Optimisation With Advanced Topics
- Mathematical Ecology And Epidemiology With Advanced Topics
- Mathematics Of Data Science With Advanced Topics
- Mathematical Fluid Mechanics With Advanced Topics
- Mmath Project