BSc Computer Science and Mathematics
Entry requirements
A level: AAA including Maths IB: 37 (6,6,6 HL) including HL Maths BTEC: BTEC Level 3 Extended National Diploma: D*DD plus A level Maths at Grade A BTEC Level 3 National Diploma: D*D plus A level Maths at Grade A BTEC Level 3 National Extended Certificate: D plus two A levels at Grades AA including Maths Preferred BTEC: Computing, IT
About this course
BSc (Hons) in Computer Science and Mathematics, a mathematics and computer science degree bridging computational techniques and advanced mathematical theory. Core topics include Programming, Statistics, Mathematical Modelling, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. Students complete a final-year project combining both disciplines and have the option to undertake an industry placement year. The first year covers core foundations through modules such as Introduction to Programming and Databases, Analysis I, Calculus I, Logic for Computer Science, Fundamentals of Software Engineering, Linear Algebra and Geometry I, Introduction to Algorithms, Foundations of Artificial Intelligence, and Numerical Methods. The second year advances into areas like Artificial Intelligence and Machine Learning, Professional Training Preparation, Object-oriented Programming Team Project, Formal Languages, Theory of Computation, and Applications, Introductory Probability and Statistics, Mathematical Methods 3, Linear Algebra and Geometry II, and ODEs and Calculus of Variations, alongside optional modules including Computer Graphics, Mechanics, Computational Methods for Differential Equations, and Elements of Topology. In the final year, students undertake the Computer Science and Mathematics Project and can select from an extensive range of optional modules covering Algebra, Software Engineering: Practices and Principles, Agent-Based Systems, Algorithm Analysis, Distributed Systems, Computer Animation, Probability Theory, Applied Statistics, Introduction to Differential Geometry, Advanced Numerical Methods, Dynamical Systems, Asymptotic Methods, Operational Research, Cyber Risk Management, Human Factors and Cyber Security, Analysis II, Mobile Application Development, Web Systems: Security, Architecture, Development, Robotics, Advanced Artificial Intelligence Systems, Data Mining and Machine Learning, Cryptography and Network Security, Computer Vision, Complex Analysis, Statistical Modelling, Medical Statistics, Studies in Science and Mathematics Education, Linear Differential Equations, Vibrations and Waves, Game Theory, Computational Methods in Finance, Mathematical Biology, Digital Forensics, and Applied Cryptography.
Modules
- Introduction to Programming and Databases
- Analysis I
- Calculus I
- Logic for Computer Science
- Fundamentals of Software Engineering
- Linear Algebra and Geometry I
- Introduction to Algorithms
- Foundations of Artificial Intelligence
- Numerical Methods
- Artificial Intelligence and Machine Learning
- Professional Training Preparation
- Object-oriented Programming Team Project
- Formal Languages, Theory of Computation, and Applications
- Introductory Probability and Statistics
- Mathematical Methods 3
- Linear Algebra and Geometry II
- ODEs and Calculus of Variations
- Computer Graphics
- Mechanics
- Computational Methods for Differential Equations
- Elements of Topology
- Computer Science and Mathematics Project
- Algebra
- Software Engineering: Practices and Principles
- Enterprise Resource Planning Systems
- Agent-Based Systems
- Algorithm Analysis
- Distributed Systems
- Computer Animation
- Probability Theory
- Applied Statistics
- Introduction to Differential Geometry
- Advanced Numerical Methods
- Dynamical Systems
- Asymptotic Methods
- Operational Research
- Cyber Risk Management
- Human Factors and Cyber Security
- Analysis II
- Mobile Application Development
- Web Systems: Security, Architecture, Development
- Robotics
- Advanced Artificial Intelligence Systems
- Data Mining and Machine Learning
- Cryptography and Network Security
- Computer Vision
- Complex Analysis
- Statistical Modelling
- Medical Statistics
- Studies in Science and Mathematics Education
- Linear Differential Equations
- Vibrations and Waves
- Game Theory
- Computational Methods in Finance
- Mathematical Biology
- Digital Forensics
- Applied Cryptography