BSc Computer Science with Artificial Intelligence
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, a computer science and computer science (artificial intelligence) degree focused on computational techniques and algorithmic design. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Research Methods, and Artificial Intelligence & Machine Learning. Students can choose to complete an optional placement year in the workplace. The first year covers core subjects through Software 1: Foundations of Programming for Computer Science, Theory 1: Mathematical Foundations of Computer Science, Human-Computer Interaction, and Software 2: Objected Oriented Data Structures and Algorithms. The second year progresses to advanced concepts with Engineering 1: Systems and Software Engineering, Systems and Devices 2: Operating Systems, Security, and Networking, Theory 3: Computability, Complexity and Logic, and Intelligent Systems: Machine Learning and Optimisation. The final year involves specialised study through compulsory modules such as Computer Science Project (Artificial Intelligence topic), AI Search and Logic, Autonomous Robots, and Deep Learning. Optional modules allow students to explore topics like 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: Objected 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 (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