MSci Mathematics
City St George's, University of London
Entry requirements
A level: ABB (including grade A in Mathematics or Further Mathematics) IB: 31 points total, including Higher Level Mathematics at grade 6 and minimum of grade 5 in Standard Level English
About this course
MSci in Mathematics. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. An optional paid one-year work placement is available with past students securing positions at organisations including Microsoft and Bloomberg. The programme includes a research project on a chosen mathematical topic.
Modules
- Professional Placement
- Functions, Vectors and Calculus 1
- Functions, Vectors and Calculus 2
- Algebra
- Linear Algebra
- Introduction to Probability and Statistics
- Logic and Set Theory
- Number Theory and Cryptography
- Introduction to Modelling
- Programming and Data Science for the Professions
- Real Analysis
- Vector Calculus
- Sequences and Series
- Decision Analysis
- Applied Mathematics
- Numerical Mathematics
- Professional Development and Employability for Mathematics
- Applications of Probability and Statistics
- Differential Equations 1
- Differential Equations 2
- Complex Analysis
- Codes
- Group Project
- Advanced Complex Analysis
- Operational Research
- Probability 2
- Graph Theory
- Game Theory
- Dynamical Systems
- Introduction to the Mathematics of Fluids
- Introduction to Mathematical Physics
- Mathematical Processes for Finance
- Groups and Symmetry
- Mathematical Biology
- Accenture School of Tech: Building skills in Tech Transformation, Cloud and Consultancy
- MSci Project
- The Mathematics of Information
- Forecasting
- Perturbation Methods
- Mathematics for Quantum Computing
- Game Theory
- Graph Theory
- Mathematics: algorithms, computation and experimentation
- Dynamical Systems
- Data Visualisation
- Neural Computing
- Principles of Data Science
- Principles of Artificial Intelligence
- Machine Learning