MSc Cyber Security

This module seeks to provide students with a theoretical and practical systematic understanding of the cyber forensic practice covering a wide range of scenarios.

Students will be provided with the knowledge to identify, extract, document, interpret and preserve IT assets as digital evidence, as well as analyse the root cause of security breaches.

The module covers issues such as Cybercrime activities and their prosecution, Cyber evidence handling, forensic processes, and tools

This module seeks to provide students with a theoretical and practical systematic understanding of the cyber incident response and handling practice covering a wide range of scenarios.

Incident response and threat-hunting activities are the keys to identifying and observing cyber incidents and malware indicators and patterns of activity to generate accurate threat intelligence that can be used to detect current and future intrusions.

Students will be provided with the knowledge and comprehensive understanding of incident response tactics and procedures. The module covers all aspects of cyber incident response starting with prevention, immediate response, mitigation and post-incident investigation to determine the root cause of security breaches.

This module addresses the growing demand for cybersecurity consultants and SOC analysts to monitor and maintain the security of public organisations and corporations.

This module is designed to introduce principles underlying computer and network security auditing, securing, and penetration testing. It also introduces tools used to assess and validate the security posture of a network and its applications.

This module will mainly employ experiential learning. The students will learn through a series of theory-based lectures and associated practical classes and workshops based on each of the module’s topics.

Students will develop their skills by applying their knowledge and techniques to discover vulnerabilities and develop exploits in a range of real-world scenarios. Directed and independent study activities will underpin the materials presented and provide opportunities for students to put theory into practice in real-world use cases.

The module is concerned with the study and application of tools and techniques that enable the protection of information and other resources of enterprise information systems. Increases in storage, manipulation, and transfer of data across computer networks requires effective encryption techniques.

This module will provide insight into some of those techniques, algorithms and their development through history. Part of the course is dedicated to the mathematics (number theory, finite fields and elliptic curves) relevant to cryptography with techniques developed using software such as Maple.

The module provides students with the experience of planning and bringing to fruition a major piece of individual work. Also, the module aims to encourage and reward individual inventiveness and application of effort through working on research or company/local government projects.

The project is an exercise that may take a variety of forms depending on the nature of the project and the subject area. Particular students will be encouraged to carry out their projects for local companies or government departments.

This module aims to provide students with an appreciation of the benefits Cybersecurity Management provides within a business environment and over cyber space.

This includes the choice and application of appropriate risk assessment and risk control techniques, the understanding of security standards & procedures, coupled with the application of cybersecurity technology & security measures in a business setting.

This module introduces the essential principles, methods and techniques in AI. It covers a broad range of topics such as search, planning, logic, knowledge representation and inference.

It discusses examples of intelligent systems and studies how to develop intelligent applications such as expert systems, natural language systems, and autonomous mobile and robotic systems.

Students will be offered lectures, which introduces the important concepts, explain the principles and techniques, and demonstrate how to apply them to solve problems in the related topics.

This module provides students with an in-depth appreciation of the Internet of Things (IoT) and Cloud Computing concepts, models, infrastructures, and capabilities.

The module will place emphasis on modern system architecture and design, Autonomous Intelligent Systems (AIS), key wireless/mobile/sensor technologies, and issues of privacy and trust, in the development of Cloud-based IoT systems.

Practical work within the module will provide students with real, hands-on, experience of building a basic Internet of Things infrastructure that can access Cloud Computing services and the opportunity to develop their Python programming skills and abilities.