MSci Computer Science with a Year in Industry
Entry requirements
A Level: A*AA to 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
Master in Science in Computer Science with a Year in Industry, a computer science degree focusing on software development and technical computing systems. Core topics include Programming, Computer Architecture, Data Analysis, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. The programme incorporates a dedicated industry placement year for practical workplace experience and culminates in a major masters project. The first year introduces foundational principles through modules such as Object Oriented Programming, Data Structure & Algorithms, and Mathematical and Logical Foundations of Computer Science. The second year expands technical capabilities with courses like Functional Programming, Security and Networks, and Operating Systems and Systems Programming. The third year is spent on an industrial placement in a professional computing environment. The fourth year offers advanced technical study across a wide range of specialised topics. The final year centres on the completion of the 60-credit Project - Masters alongside further advanced study options.
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
- 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
- Project - Masters 60
- Advanced Cryptography (Extended)
- Advanced Functional Programming (Extended)
- Advanced Networking (Extended)
- Algorithms and Complexity (Extended)
- Computer Vision and Imaging (Extended)
- Computer-Aided Verification (Extended)
- Dependable and Distributed Systems (Extended)
- Evolutionary Computation (Extended)
- Game Theory (Extended)
- High Performance Computing (Extended)
- Human-Computer Interaction (Extended)
- Intelligent Data Analysis
- Intelligent Interactive Systems (Extended)
- Intelligent Robotics (Extended)
- Intelligent Software Engineering (Extended)
- Machine Learning
- Mobile & Ubiquitous Computing (Extended)
- Natural Language Processing (Extended)
- Neural Networks and Deep Learning (Extended)
- Programming Language Principles, Design, and Implementation (Extended)
- Secure Software and Hardware Systems
- Security of Real-World Systems (Extended)
- Teaching Computer Science in Schools (Extended)