MSci Computer Science
Entry requirements
A level: A*AA including Maths or AAA including Maths and Computer Science IB: 38 (7,6,6 HL) including HL Maths or 37 (6,6,6 HL) including HL Maths and Computer Science BTEC: BTEC Level 3 National Extended Certificate: D* plus two A levels at Grades A*A including Maths BTEC Level 3 National Extended Diploma and National Diploma not accepted for MSci but considered for BSc in combination with A level Maths Preferred BTEC: Computing, IT
About this course
MSci (Hons) in Computer Science, a computer science degree focusing on technical and practical aspects of modern computing systems. Core topics include Programming, Systems Design, Computer Architecture, Research Methods, Project Management, Critical & Analytical Thinking, Ethics & Professional Practice, Entrepreneurship, Artificial Intelligence & Machine Learning. The curriculum is accredited by the British Computer Society and includes an optional professional placement year between study stages. The first year establishes core foundations through compulsory study in modules such as Introduction to Programming and Databases, Computer Systems and Low-level Programming, Operating Systems, Networks, Security, and Foundations of Artificial Intelligence. The second year continues with mandatory subjects including Artificial Intelligence and Machine Learning, Professional Training Preparation, Team Projects, and Software Engineering: Practices and Principles. In the third year, students can select from various optional modules covering advanced topics such as Entrepreneurship and Innovation, Cloud Computing, Human-Computer Interaction, Robotics, and Data Mining and Machine Learning, alongside completing a Computer Science Project. The final year involves advanced investigative work through compulsory modules like Managing a Project Team, Thesis Project, Group Project, and Innovation and Technology.
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
- Digital Forensics
- Applied Cryptography
- Studies in Science and Mathematics Education
- Managing a Project Team
- Thesis Project
- Group Project
- Learning Evaluation in a Specialised Subject
- Innovation and Technology