Cyber Security BSc (Hons)

This module is an introduction to modern ideas in cryptology and its applications. Increase of storage, manipulation, and transfer of data on computer networks requires effective encryption techniques. This module will provide insight into some of these techniques, algorithms and their development through history. Part of the course is dedicated to the Number Theory relevant to Cryptography.

You will gain the knowledge and understanding of fundamental concepts of computational theory and computational complexity. You will learn how to examine whether a given problem can be solved computationally.

In this module you will gain insights into key techniques within the field of artificial intelligence (AI). Aspects of AI you'll cover include agents, environments and learning as well as techniques such as regression, classification, clustering, reinforcement learning, learning recommendation and decision support systems.

On this module you will identify fundamental issues in computer networks and their security, and study approaches for addressing these issues. By learning these principles, you will be able to understand emerging network technology more quickly.

This module is focused at analysing potential cyber security vulnerabilities/threats within diverse platforms such as; web and mobile applications. It will emphasize specific security issues for such application domains with special consideration given to experimentation to identify and assess potential security vulnerabilities within different application domains followed by understanding of strategies to mitigate against them.

The aim of this module is to provide you with the experience of working collaboratively as part of a project team. The module will provide opportunities for you to adopt different project team roles in order to deliver a solution for a real-world client.

The module aims to introduce managerial approaches to information security in modern enterprises. It considers how to manage the use of information assets securely and support the goals and objectives of enterprises through effective information security governance, risk management, and contingency planning.

This module aims to introduce you to the twenty-first-century offence of cybercrime and the theoretical suppositions underpinning it. It explores the definition, regulation, typologies, methods, categories and patterns of victimisation. It also critically examines law enforcement, regulation and legal issues in digital forensic acquisition.

Machine learning is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.

This module familiarises you with some basic machine learning algorithms and techniques and their applications, as well as general questions related to analysing and handling large data sets. Several software libraries and data sets publicly available will be used to illustrate the application of these algorithms. The emphasis will be thus on machine learning algorithms and applications, with some broad explanation of the underlying principles.

You will investigate a topic of interest and prepare a project proposal. You will then present your ideas to the school for approval and once this has been approved, you will begin a detailed literature review of your chosen field. You will choose and follow a suitable development methodology leading to an implementation which you will evaluate.