MMath Maths and Computer Science
Entry requirements
A level: AAA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AABB including grade A in Mathematics. IB: 36 points overall, including grade 6 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations). BTEC: DDD plus grade A in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics
About this course
MMath (Hons) Maths and Computer Science is a mathematics and computer science degree exploring the combined applications of both disciplines. Core topics include Programming, Systems Design, Embedded Systems, Data Analysis, Mathematical Modelling, Research Methods, and Artificial Intelligence & Machine Learning. Students complete an Extended Independent Project in Mathematics and an Individual Project - Mathematics and Computer Science in the final year. The first year covers the foundations through Software 1: Foundations of Programming for Computer Science, Foundations and Calculus, Introduction to Pure Mathematics, and Software 2: Object Oriented Data Structures and Algorithms. The second year introduces Engineering 1: Software and Systems Engineering, Theory 3: Computability, Complexity and Logic, Metric Spaces, and Linear Algebra. In the third year, optional modules span areas such as AI Search and Logic, Autonomous Robots, Cryptography Theory and Practice, and Differential Geometry. The fourth year continues with advanced options like AI Problem Solving with Search and Logic, Autonomous Robotic Systems Engineering, and Frontiers in Mathematics.
Modules
- Software 1: Foundations of Programming for Computer Science
- Foundations and Calculus
- Introduction to Pure Mathematics
- Software 2: Object Oriented Data Structures and Algorithms
- Theory 2: Formal Languages and Automata
- Multivariable Calculus and Matrices
- Engineering 1: Software and Systems Engineering
- Theory 3: Computability, Complexity and Logic
- Metric Spaces
- Groups, Rings and Fields
- Linear Algebra
- Data: Introduction to Data Science
- Intelligent Systems: Machine Learning and Optimisation
- AI Search and Logic
- Autonomous Robots
- Cryptography Theory and Practice
- Embedded Systems Design and Implementation
- Engineering 2: Automated Software Engineering
- Ethical Hacking, Analysis and Investigation
- High-Integrity Systems Engineering
- High-Performance Parallel and Distributed Systems
- Deep Learning
- Legal Practice, Technology and Computer Science
- Network Security
- Qualitative Approaches to Investigating UX
- Quantum Computation
- Engineering LLM-Based Agents and Applications
- Large Language Models
- Natural Language Processing
- Groups, Actions and Galois Theory
- Differential Geometry
- Number Theory
- Cryptography
- Numerical Analysis
- Operations Research
- Topology
- Measure and Integration
- Communicating Mathematics in Education
- Lie Theory
- Semigroup Theory
- Extended Independent Project in Mathematics
- Individual Project - Mathematics and Computer Science
- AI Problem Solving with Search and Logic
- Autonomous Robotic Systems Engineering
- Cryptography Theory and Practice
- Embedded Systems Design and Implementation
- Engineering 2: Automated Software Engineering
- Ethical Hacking, Analysis and Investigation
- High-Integrity Systems Engineering
- High-Performance Parallel & Distributed Systems
- Deep Learning
- Network Security
- Qualitative Approaches to Investigating UX
- Quantum Computation
- Research Methods in Computer Science
- Directed Learning in Mathematics
- Lie Theory
- Frontiers in Mathematics
- Differential Geometry
- Number Theory
- Topology
- Measure & Integration
- Semigroup Theory