BSc Computer Science
Entry requirements
A level: AAA including Maths or AAB including Maths and Computer Science IB: 37 (6,6,6 HL) including HL Maths or 35 (6,6,5) including HL Maths and Computer Science BTEC: BTEC Level 3 Extended National Diploma: D*DD plus A level Maths at Grade A BTEC Level 3 National Diploma: D*D plus A level Maths at Grade A BTEC Level 3 National Extended Certificate: D plus two A levels at Grades AA including Maths Preferred BTEC: Computing, IT
About this course
BSc (Hons) in Computer Science, a computer science degree focusing on computational theory, software development, and modern computing systems. Core topics include Programming, Systems Design, Computer Architecture, Project Management, Critical & Analytical Thinking, Ethics & Professional Practice, Entrepreneurship, Artificial Intelligence & Machine Learning. The curriculum includes an individual project in the final year and an optional professional placement year, and the course holds accreditation from the British Computer Society. The first year establishes core foundations through compulsory modules such as Introduction to Programming and Databases, Computer Systems and Low-level Programming, Operating Systems, Networks, Security, and Object Oriented Programming. The second year advances technical capabilities through compulsory modules like Artificial Intelligence and Machine Learning, Team Projects, Formal Languages, Theory of Computation, and Applications, and Software Engineering: Practices and Principles. In the final year, students complete the compulsory Computer Science Project and can select from a wide range of optional modules spanning specialised areas such as Robotics, Cloud Computing, Cryptography and Network Security, and Computer Vision to match their career ambitions.
Modules
- Introduction to Programming and Databases
- Computer Systems and Low-level Programming
- Operating Systems, Networks, Security
- Logic for Computer Science
- Fundamentals of Software Engineering
- Mathematics for Computer Science
- Introduction to Algorithms
- Foundations of Artificial Intelligence
- Object Oriented Programming
- Artificial Intelligence and Machine Learning
- Professional Training Preparation
- Team Projects
- Formal Languages, Theory of Computation, and Applications
- Software Engineering: Practices and Principles
- Computer Graphics
- Mobile Application Development
- Web Systems: Security, Architecture, Development
- Computer Science Project
- Entrepreneurship and Innovation
- Enterprise Resource Planning Systems
- Agent-Based Systems
- Algorithm Analysis
- Cloud Computing
- Human-Computer Interaction
- Advanced Networking
- Distributed Systems
- Computer Animation
- Cyber Risk Management
- Human Factors and Cyber Security
- Project Management
- Entrepreneurship and Small Business Planning
- Robotics
- Advanced Artificial Intelligence Systems
- Data Mining and Machine Learning
- Cryptography and Network Security
- Computer Vision
- Studies in Science and Mathematics Education
- Digital Forensics
- Applied Cryptography