BSc 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 Computer Science BSc, a computer science degree focused on the study of computation and software systems. Core topics include Programming, Computer Architecture, Data Analysis, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. The course is structured over three years with a dedicated final-year project. The first year covers foundational concepts through Object Oriented Programming, Databases and Web Programming, Data Structure & Algorithms, and Mathematical and Logical Foundations of Computer Science. The second year progresses to Artificial Intelligence 2, Theories of Computation, Functional Programming, and Operating Systems and Systems Programming. The final year allows students to select from various advanced options such as Machine Learning, Computer Vision and Imaging, Game Theory, and High Performance Computing, alongside the completion of the 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
- Advanced Cryptography
- Advanced Functional Programming
- Advanced Networking
- Algorithms and Complexity
- Computer Vision and Imaging
- Computer-Aided Verification
- Dependable and Distributed Systems
- Evolutionary Computation
- Game Theory
- High Performance Computing
- Human-Computer Interaction
- Intelligent Data Analysis
- Intelligent Interactive Systems
- Intelligent Robotics
- Intelligent Software Engineering
- Machine Learning
- Mobile & Ubiquitous Computing
- Natural Language Processing
- Neural Networks and Deep Learning
- Programming Language Principles, Design, and Implementation
- Security of Real-World Systems
- Teaching Computer Science in Schools