BSc Artificial Intelligence (AI) and Computer Science with a Year in Industry
Entry requirements
A Level: A*AA to include A-level Mathematics grade A.. IB: 7,6,6 at Higher Level to include 6 in Mathematics, with a minimum of 32 points overall. We also require 5 in Standard Level English.. BTEC: only accepted in combination with other qualifications, see below.
About this course
Bachelor of Science in Artificial Intelligence (AI) and Computer Science with a Year in Industry BSc, an undergraduate degree focused on the theoretical and practical aspects of computing systems and intelligent technologies. Core topics include Programming, Computer Architecture, Data Analysis, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. Students complete a professional industrial placement year integrated into the four-year course duration. The first year covers foundational concepts through Object Oriented Programming, Databases and Web Programming, and Mathematical and Logical Foundations of Computer Science. The second year expands into technical competence with modules such as Artificial Intelligence 2, Functional Programming, and Software Engineering for Global Challenges. After undertaking the third-year industrial placement, the fourth year allows advanced specialisation through options like Machine Learning, Natural Language Processing, and Computer Vision and Imaging, culminating in a substantial Computer Science Project.
Modules
- Object Oriented Programming
- Databases and Web Programming
- Artificial Intelligence 1
- Data Structure & Algorithms
- Discover: Computer Systems & Professional Practice
- Mathematical and Logical Foundations of Computer Science
- Artificial Intelligence 2
- Theories of Computation
- Functional Programming
- Operating Systems and Systems Programming
- Security and Networks
- Software Engineering for Global Challenges
- Computer Science Industrial Placement
- Computer Science Project
- Computer Vision and Imaging
- Evolutionary Computation
- Intelligent Data Analysis
- Intelligent Interactive Systems
- Intelligent Robotics
- Machine Learning
- Natural Language Processing
- Neural Networks and Deep Learning
- Advanced Cryptography
- Advanced Functional Programming
- Advanced Networking
- Algorithms and Complexity
- Computer-Aided Verification
- Dependable and Distributed Systems
- Game Theory
- High Performance Computing
- Human-Computer Interaction
- Intelligent Software Engineering
- Mobile & Ubiquitous Computing
- Programming Language Principles, Design, and Implementation
- Security of Real-World Systems
- Teaching Computer Science in Schools