MSc Computer Science with Artificial Intelligence

This module provides techniques for using algorithms and associated data structures. It also covers computational thinking and the theoretical underpinnings and practical applications of computer science, covering: programming; control structures; methods; inheritance; arrays and mechanics of running and testing; and complexity and implementation of algorithms in programs. 

This module details advanced programming concepts such as file manipulation, event-driven programming, multi-threaded programming, programming for data analysis and the use of packages and documentation. It also covers the social context of computing: social impact of computers and the internet; professionalism; codes of ethics and responsible conduct; copyrights, intellectual property; and software piracy. 

This module explores advanced AI techniques through the application and evaluation of genetic algorithms, neural networks, local search techniques and deep learning. It develops your understanding of the application areas and problems that advanced AI techniques can enhance and optimise.

This module explores the field of artificial intelligence along with the principal ideas and techniques in three core topic areas: problem solving, knowledge representation and machine learning. The implications of AI for business and society are also covered. 

This module provides data science skills in data analytics, including the preparation of data, data handling, formulating precise questions and using tools from statistics and data mining to address them.

A sound understanding of internet architecture, protocols and technologies and their real-world applications forms the core of this module. Discussions around networks and the internet, network architecture, communication protocols and their design principles, wireless and mobile networks, network security issues and networking standards feature. The module also covers related social, privacy and copyright issues. 

The module covers the concepts of modern computer architecture and system software. After an overview of computer architecture, it then delves into how computer systems execute programs, store information, and communicate. You will also learn the principles, design and implementation of system software such as operating systems. 

This module focuses on designing and building software systems. You will look at principles and patterns of software design, where to apply them, and how they inform design choices. Learn techniques for ensuring systems you build behave correctly. We demonstrate how the application of these principles makes it possible to evolve systems effectively and rigorously. 

This module provides you with a range of approaches to research and individual research projects. Formulate research questions appropriate to an area of interest, and evaluate the relationship between question, methodology and method. 

This is an extended research proposal for your final Individual Research Project. The module is created to ensure you are prepared for the IRP in sufficient depth before undertaking final studies. Designed to give you the flexibility of developing a proposal, it explores a work-based problem or one that is driven by your own findings. 

The 30-credit Individual Research Project (IRP) builds on your Research Project Proposal, defining and developing a plan for research within a particular field of your choice. The IRP is the implementation and write-up of these results. A self-study module, you’ll draw on skills acquired throughout the degree, including self-management, deadlines and subject knowledge.