MMath Maths and Computer Science (with a year in industry)
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 (with a year in industry), an undergraduate degree in Mathematics and Computer Science, merges rigorous mathematical theory with advanced computing principles. Core topics include Programming, Systems Design, Embedded Systems, Data Analysis, Mathematical Modelling, Research Methods, and Artificial Intelligence & Machine Learning. This five-year programme incorporates a paid professional placement year in industry, and concludes with an independent project in mathematics alongside a joint individual project. The first year covers core foundations through modules such as Software 1: Foundations of Programming for Computer Science, Foundations and Calculus, and Multivariable Calculus and Matrices. The second year expands into abstract mathematics and systems engineering with Engineering 1: Software and Systems Engineering, Metric Spaces, and Groups, Rings and Fields. Following the industrial placement, the fourth year offers a broad selection of advanced optional subjects spanning autonomous robotics, cryptography, quantum computation, and advanced algebra. The final fifth year centres on major project work alongside specialised options like Autonomous Robotic Systems Engineering, Deep Learning, 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 & Distributed Systems
- Deep Learning
- Network Security
- Qualitative Approaches to Investigating UX
- Quantum Computation
- Engineering LLM-Based Agents and Applications
- Large Language Models
- Natural Language Processing
- Communicating Mathematics in Education
- Groups, Actions & Galois Theory
- Differential Geometry
- Lie Theory
- Number Theory
- Topology
- Cryptography
- Operations Research
- Numerical Analysis
- Semigroup Theory
- Measure & Integration
- 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