BSc Mathematics and Computer Science with Industrial Year
Entry requirements
A Level: A*AA to include A-level grade A in Mathematics or Further Mathematics.. IB: 7,6,6 at Higher Level, including Mathematics, with a minimum of 32 points overall.. BTEC: only considered when combined with other qualifications.
About this course
Bachelor of Science in Mathematics and Computer Science with Industrial Year, a mathematics and computer science degree bridging computational systems and advanced mathematical theory. Core topics include Programming, Computer Architecture, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students complete a professional industrial placement year during the course and undertake independent project work in the final year. The first year covers foundational principles through modules such as Computer Systems and Professional Practice, Data Structure & Algorithms, Mathematical Foundations, Calculus and Linear Algebra, Object Oriented Programming (Mathematics), and Probability, Data and Statistics. The second year extends these methods with topics in Artificial Intelligence, Functional Programming, Software Engineering, Applied Linear Algebra and Optimisation, and Multivariable and Vector Calculus. In the fourth year, students select from a broad range of optional modules spanning advanced computing and mathematical theory, alongside completing a Computer Science Project and a Mathematical Project.
Modules
- Computer Systems and Professional Practice
- Data Structure & Algorithms
- Mathematical Foundations, Calculus and Linear Algebra
- Object Oriented Programming (Mathematics)
- Probability, Data and Statistics
- Artificial Intelligence
- Functional Programming
- Software Engineering
- Applied Linear Algebra and Optimisation
- Differential Equations and Mechanics
- Graphs and Algorithms
- Groups, Rings and Fields
- Mathematical Modelling with Differential Equations
- Multivariable and Vector Calculus
- Real Analysis
- Statistics
- Computer Science Industrial Placement
- Computer Science Project
- Mathematical Project
- Combinatorics and Computation
- Continuum Mechanics
- Galois Theory and Coding Theory
- Game Theory
- Graph Theory and Applications
- Mathematics in Biology and Medicine
- Mathematics of Financial Derivatives
- Medical Statistics
- Metric Spaces and Geometry
- Number Theory and Cryptography
- Numerical Analysis
- Optimisation
- Real and Complex Analysis
- Statistical Machine Learning
- Statistical Modelling
- Advanced Cryptography
- Advanced Networking
- Algorithms and Complexity
- Computer Vision and Imaging
- Human-Computer Interaction
- Intelligent Data Analysis
- Intelligent Software Engineering
- Machine Learning
- Mobile & Ubiquitous Computing
- Neural Networks and Deep Learning
- Teaching Computer Science in Schools