MEng Computer Science/Software Engineering with a Year in Industry
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
Master of Engineering in Computer Science/Software Engineering with a Year in Industry MEng, a computer science and software engineering degree focusing on advanced technical systems and software design. Core topics include Programming, Computer Architecture, Data Analysis, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. Students complete a professional industrial placement year during the course. The first year covers foundational principles through Object Oriented Programming, Databases and Web Programming, and Mathematical and Logical Foundations of Computer Science. The second year progresses to systems and software challenges via Theories of Computation, Functional Programming, and Software Engineering for Global Challenges. The third year consists of the Computer Science Industrial Placement. The fourth year involves advanced technical study across a broad selection of topics such as Advanced Cryptography, Advanced Functional Programming, and Machine Learning. The final fifth year concludes with a major Project - Masters 60 alongside further advanced option modules.
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
- Computer-Aided Verification (Extended)
- 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)