BSc (Hons) Cyber Security Bachelor's degree at West London

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. 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. The emphasis will be 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.

This module will help you to learn the basic concepts behind current computer hardware, software and supporting technologies. As you learn these principles, you will understand how computers work beyond the statements of their high-level language, and this will allow you to write more efficient code.

This module will teach you the basic mathematical concepts and techniques of discrete structures. You will study mathematical logic, sets, relations and functions. The module will develop your skills in expressing problems in mathematical language, using mathematical techniques to find solutions to problems and communicating mathematical ideas clearly and succinctly.

This module will introduce you to problem-solving skills and key programming principles in order to translate a problem description into a sequence of steps to be executed by a computer. The module will cover basic programming concepts and fundamentals including: an overview of programming paradigms and techniques analysis of problems and design using pseudo-code and flowcharts basic program elements and structure development supported by version-controlled code repositories.

This module introduces the basic components and concepts of cyber security in modern society, emphasising not only the technical aspects of cyber security, but also its multi-disciplinary natures including legal and crime, business and management, social and human factors, etc. The topics of the module will include: cyber security threat landscape malware and attacks actors in cyber security and their roles in cyber security affairs authentication and password security networking and network sec

This module will help you to gain the knowledge and competence to deal with basic data structures and algorithms. You will learn how to specify collections using abstract data types (ADTs) and to implement them using a variety of techniques such as linked lists and trees. You'll also use a range of algorithms, including searching and sorting.

You will gain the knowledge and skills to design and implement a relational database. This module will cover information security and database management issues and an awareness of the central role of relational and other types of databases.

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.

The aim of this module is to provide you with 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. The module aims to introduce computation science, modelling complex dynamic systems and diagramming models.

In this module, you will gain insights into key techniques within the field of artificial intelligence (AI). Aspects of AI you will 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 on analysing potential cyber security vulnerabilities/threats within diverse platforms such as web and mobile applications. It will emphasise 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 an understanding of strategies to mitigate against them.

The overall aim of this module is to take a practitioner's approach to the problems of developing software applications for a case study using agile methods and to provide you with the experience of working collaboratively as part of a project team. The module aims to raise an awareness of the appropriate methodology required for given contexts and to explore business process analysis, business rules, business cases and other techniques as a means of establishing system requirements.