BSc Mathematics with Computer Science (Placement Year)
Entry requirements
A level: AAA. This should include Mathematics grade A or Further Mathematics grade A. The overall offer grades will be lowered to AAB for applicants who achieve both Mathematics and Further Mathematics at grades AB, in either order. IB: 36 points overall with 16 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
About this course
BSc Hons in Mathematics with Computer Science (Placement Year), a mathematics and computer science degree centred on mathematical and computational approaches to quantitative problems. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Signal Processing, and Control Systems. The programme includes a dedicated professional placement year spent working in a graduate-level role. The first year covers core foundations through Fundamentals of Computer Science, Logic and Discrete Mathematics, Matrices and Calculus, Probability and Statistics, Software Development, and Symmetry and Sequences. The second year advances through Linear Algebra, Project Skills, and Secure Data and Systems, alongside optional choices such as Abstract Algebra, Applied Data Science, Artificial Intelligence, Complex Analysis, Extended Reality, Internet Applications, Mathematics of Artificial Intelligence, Multivariate Probability and Statistics, and Real Analysis. Year 3 consists of a professional placement year in industry. The final year allows students to tailor their studies from a wide range of advanced options spanning algebra, statistics, systems, and modern applications, including Commutative Algebra, Dynamic Modelling, Environmental Statistics, Graph Theory and Algorithms, Hilbert Spaces, Knots and Geometry, Linear Systems, Machine Learning, Mathematical Cryptography, Mathematical Finance, Mathematics of Generative Modelling, Medical Statistics, Metric Spaces and Topology, Statistical Inference, Stochastic Processes, Statistical Learning and Prediction, Advanced Programming, Computer Vision, Digital Health, Secure Distributed Systems, Languages and Compilation, Natural Language Processing, Quantum Computing, Secure Artificial Intelligence, and Secure Cyber Physical Systems.
Modules
- Fundamentals of Computer Science
- Logic and Discrete Mathematics
- Matrices and Calculus
- Probability and Statistics
- Software Development
- Symmetry and Sequences
- Linear Algebra
- Project Skills
- Secure Data and Systems
- Abstract Algebra
- Applied Data Science
- Artificial Intelligence
- Complex Analysis
- Extended Reality
- Internet Applications
- Mathematics of Artificial Intelligence
- Multivariate Probability and Statistics
- Real Analysis
- Placement
- Commutative Algebra
- Dynamic Modelling
- Environmental Statistics
- Graph Theory and Algorithms
- Hilbert Spaces
- Knots and Geometry
- Linear Systems
- Machine Learning
- Mathematical Cryptography
- Mathematical Finance
- Mathematics of Generative Modelling
- Medical Statistics
- Metric Spaces and Topology
- Statistical Inference
- Stochastic Processes
- Statistical Learning and Prediction
- Advanced Programming
- Computer Vision
- Digital Health
- Secure Distributed Systems
- Languages and Compilation
- Natural Language Processing
- Quantum Computing
- Secure Artificial Intelligence
- Secure Cyber Physical Systems