BSc Computer Science with Cyber Security
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 Mathematics. IB: 36 points overall, including 5 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations), or 6 in Standard Level Mathematics (Analysis and Approaches). BTEC: DDD plus grade B 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 with Cyber Security, an undergraduate computer science and software engineering degree focused on secure digital systems. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Research Methods, and Artificial Intelligence & Machine Learning. Students can optionally add a placement year to gain workplace experience before graduation. The first year covers core principles through modules such as Software 1: Foundations of Programming for Computer Science, Theory 1: Mathematical Foundations of Computer Science, Human-Computer Interaction, and Software 2: Object Oriented Data Structures and Algorithms. The second year progresses into engineering and systems via Engineering 1: Software and Systems Engineering, Systems and Devices 2: Operating Systems, Security, and Networking, Theory 3: Computability, Complexity and Logic, and Intelligent Systems 1: Machine Learning and Optimisation. The final year centres on specialised security topics including Computer Science Project (Cyber Security topic), Cryptography Theory and Practice, Ethical Hacking, Analysis and Investigation, and Network Security. Optional modules allow students to further explore areas such as Autonomous Robots, Deep Learning, and Natural Language Processing.
Modules
- Software 1: Foundations of Programming for Computer Science
- Theory 1: Mathematical Foundations of Computer Science
- Human-Computer Interaction
- Software 2: Object Oriented Data Structures and Algorithms
- Systems and Devices 1: Introduction to Computer Architectures
- Theory 2: Formal Languages and Automata
- Engineering 1: Software and Systems Engineering
- Systems and Devices 2: Operating Systems, Security, and Networking
- Theory 3: Computability, Complexity and Logic
- Intelligent Systems 1: Machine Learning and Optimisation
- Data: Introduction to Data Science
- Systems and Devices 3: Advanced Computer Systems
- Computer Science Project (Cyber Security topic)
- Cryptography Theory and Practice
- Ethical Hacking, Analysis and Investigation
- Network Security
- Quantum Computation
- Human Factors: Technology in Context
- AI Search and Logic
- Autonomous Robots
- Embedded Systems Design and Implementation
- Engineering 2: Automated Software Engineering
- High-Integrity Systems Engineering
- High-Performance Parallel and Distributed Systems
- Deep Learning
- Legal Practice, Technology and Computer Science
- Player Experiences in Digital Games
- Qualitative Approaches to Investigating UX
- Research Methods in Computer Science
- Cloud based Data Analysis
- Game Design & Development in Real-Time Engines
- Governance of Data Science
- Engineering LLM-Based Agents and Applications
- Large Language Models
- Natural Language Processing