BSc Artificial Intelligence (AI) and Computer Science
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 BSc, a computer science degree focused on computational methods and intelligent systems. Core topics include Programming, Computer Architecture, Data Analysis, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. The degree spans three undergraduate years of study. The first year introduces foundational concepts through Object Oriented Programming, Databases and Web Programming, Artificial Intelligence 1, and Data Structure & Algorithms. The second year progresses to advanced theory and practice with Artificial Intelligence 2, Theories of Computation, Functional Programming, and Operating Systems and Systems Programming. The final year allows students to pursue specialized interests across topics like Computer Vision and Imaging, Evolutionary Computation, Intelligent Data Analysis, and Neural Networks and Deep Learning, 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 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