MComp Computer Science
Entry requirements
A level: ABB
About this course
MComp in Computer Science, covering theoretical foundations and practical software development. Core topics include Programming, Systems Design, Computer Architecture, Data Analysis, and Artificial Intelligence & Machine Learning. The first three years share the same curriculum as the BSc programme, with a fourth year of advanced study. A group project in the second year involves delivering software to a real client, and individual projects run in both the third and final years.
Modules
- Computer Science Project
- Personal and Group Skills
- Advanced C++ Programming
- Agile Cloud Automation
- Internet and Cloud Computing
- Interaction Design (ID) and User Experience (UX)
- Big Data and Predictive Analytics
- Mobile and Ubiquitous Computing
- Algorithms for Bioinformatics
- Generative Development
- Service-Orientated Architectures
- Service Design
- Technology and Innovation Management
- Computing Fundamentals
- Programming Fundamentals
- Mathematics Fundamentals
- Computer Architecture
- Introduction to Object Oriented Programming
- Software Lifecycle and Quality
- Algorithms, Data Structures and Advanced Programming
- Personal and Professional Development 1
- Operating Systems and Networks
- Databases and Domain Modelling
- Information Security Fundamentals
- Software Architecture and System Development 1
- Personal and Professional Development 2
- Software Architecture and System Development 2
- Foundations of Computation
- Data Analytics
- User Interfaces Design and Evaluation
- Foundations of Artificial Intelligence
- Secure Software Development
- Computer Science Project
- Computers, Society and Professionalism
- Mobile and Web Applications
- C++ Programming
- Data Science and Visualisation
- Advanced Artificial Intelligence
- Software Measurement and Quality Assurance
- AI Security, Ethics, and Management
- Ethical Hacking and Penetration Testing
- Analysis and Design of Algorithms
- Cryptosystems
- Technology and Innovation Management
- Functional Programming
- AI for Space
- Deep Learning and Computer Vision
- Generative Development