BSc Computer Science with Artificial Intelligence (with a year in industry)
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 Artificial Intelligence (with a year in industry), a computer science and computer science (artificial intelligence) degree centred on computational systems and artificial intelligence. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, and Artificial Intelligence & Machine Learning. This four-year degree includes a year in industry for paid professional experience and a final-year project focused on an artificial intelligence topic. The first year covers the foundations through Software 1: Foundations of Programming for Computer Science, Theory 1: Mathematical Foundations of Computer Science, and Systems and Devices 1: Introduction to Computer Architectures. The second year focuses on systems, software, and intelligence via modules such as Engineering 1: Software and Systems Engineering, Systems and Devices 2: Operating Systems, Security, and Networking, and Intelligent Systems: Machine Learning and Optimisation. The final year involves compulsory advanced study including Autonomous Robots, Deep Learning, and Large Language Models. Optional modules allow students to explore subjects such as Cryptography Theory and Practice, Embedded Systems Design and Implementation, and Network Security.
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 & Algorithms
- Systems and Devices 1: Introduction to Computer Architectures
- Theory 2: Formal Languages & Automata
- Engineering 1: Software and Systems 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 (Artificial Intelligence topic)
- AI Search and Logic
- Autonomous Robots
- Deep Learning
- Engineering LLM-Based Agents and Applications
- Large Language Models
- Natural Language Processing
- 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
- 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
- Game Design & Development in Real-Time Engines
- Governance of Data Science