BSc Computer Science and Mathematics
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
BSc (Hons) Computer Science and Mathematics, a mathematics and computer science degree bridging computational systems and mathematical theory. Core topics include Programming, Systems Design, Embedded Systems, Data Analysis, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students can undertake an optional placement year to gain workplace experience prior to graduation. The first year covers the foundations through 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, and Multivariable Calculus and Matrices. The second year progresses to 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, and Intelligent Systems: Machine Learning and Optimisation. The final year centers on the Computer Science Project and the Extended Independent Project in Mathematics. Optional modules allow specialisation in areas such as Autonomous Robots, Cryptography, Differential Geometry, and Deep Learning.
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
- Computer Science Project
- Extended Independent Project in Mathematics
- 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
- Cryptography
- Differential Geometry
- Groups, Actions and Galois Theory
- Measure and Integration
- Number Theory
- Numerical Analysis
- Operations Research
- Topology
- Communicating Mathematics in Education
- Lie Theory
- Semigroup Theory