BSc Computer Science and Mathematics (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
BSc (Hons) Computer Science and Mathematics (with a year in industry), a mathematics and computer science degree bridging computational systems and advanced mathematical theory. Core topics include Programming, Systems Design, Embedded Systems, Data Analysis, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The programme incorporates a year in industry to provide paid professional context. The first year covers core programming and mathematical 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 progresses to advanced engineering and abstract mathematics via Engineering 1: Software and Systems Engineering, Theory 3: Computability, Complexity and Logic, Metric Spaces, and Groups, Rings and Fields. The final year requires completion of both the Computer Science Project and the Extended Independent Project in Mathematics. Students can tailor their studies with optional modules spanning Autonomous Robots, Cryptography Theory and Practice, Deep Learning, Differential Geometry, Number Theory, and Operations Research.
Modules
- Software 1: Foundations of Programming for Computer Science
- Foundations and Calculus
- Introduction to Pure Mathematics
- Software 2: Object Oriented Data Structures and Algorithms
- Multivariable Calculus and Matrices
- Theory 2: Formal Languages and Automata
- 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