BSc Mathematics with Data Science
City St George's, University of London
Entry requirements
A level: AAB (including grade A in Mathematics or Further Mathematics) IB: 33 points total, including Higher Level Mathematics at grade 6 and minimum of grade 5 in Standard Level English
About this course
BSc in Mathematics and Computer Science (Artificial Intelligence), combining applied mathematics with data science and AI. Core topics include Programming, Artificial Intelligence & Machine Learning, Statistics, Data Analysis, and Mathematical Modelling. An optional paid placement year is available, with past students placed at organisations including Microsoft and Bloomberg. A group project module allows investigation of topics across mathematical and data science areas.
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
- Codes
- Techniques for Data Science
- Group project
- Introduction to Data Science
- Principles of Artificial Intelligence
- Machine Learning
- Differential Equations 1
- Differential Equations 2
- Complex Analysis
- Advanced Complex Analysis
- Stochastic Models
- 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