BSc Computer Science
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 is an undergraduate computer science degree within the field of Computer Science. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Research Methods, and Artificial Intelligence & Machine Learning. Students can opt to add a placement year to gain workplace experience prior to graduation. The first year covers foundational concepts through compulsory modules such as Software 1: Foundations of Programming for Computer Science, Theory 1: Mathematical Foundations of Computer Science, Human-Computer Interaction, and Systems and Devices 1: Introduction to Computer Architectures. The second year progresses to engineering and systems with compulsory modules including Engineering 1: Systems and Software Engineering, Systems and Devices 2: Operating Systems, Security and Networking, Intelligent Systems: Machine Learning and Optimisation, and Data: Introduction to Data Science. In the final year, students complete a compulsory Computer Science Project and choose from numerous optional modules spanning areas such as Autonomous Robots, Cryptography Theory and Practice, Deep Learning, and Quantum Computation.
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: Systems and Software Engineering
- Systems and Devices 2: Operating Systems, Security and Networking
- Theory 3: Computability, Complexity and Logic
- Intelligent Systems: Machine Learning and Optimisation
- Data: Introduction to Data Science
- Systems and Devices 3: Advanced Computer Systems
- Computer Science Project
- AI Search & 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
- Human Factors: Technology in Context
- Deep Learning
- Legal Practice, Technology and Computer Science
- Network Security
- Player Experiences in Digital Games
- Qualitative Approaches to Investigating UX
- Quantum Computation
- Research Methods in Computer Science
- Cloud based Data Analysis
- Engineering LLM-Based Agents and Applications
- Game Design & Development in Real-Time Engines
- Governance of Data Science
- Large Language Model
- Natural Language Processing