Cyber Security and Forensics MSc

Course summary

Computers are central to all aspects of our daily lives; as industries ranging from communications to banking have come to rely on them, the need for improved computer security has never been greater. This course focusses on two aspects of Cyber Security: analysis and assessment of risk plus how to minimise it, and, how to extract and use digital information from a wide range of systems and devices. The course is structured so that all students cover the same introductory material, but then choose to specialise in either Cyber Security or Digital Forensics.

Students taking the course will gain an understanding of the nature of the security threats that face computer systems and the type of information that is stored on digital devices (and how it can be extracted from them). They will benefit from a broad and varied array of state-of-the-art technologies and resources, including:

• a dedicated forensics computer laboratory
• Over 30 computing laboratories with an extensive range of specialist and other software providing access to Linux/UNIX, Windows and Mac OS, all supported by high-bandwidth networks.
• Access to a range of free software titles through a number of academic initiatives for use on home computers for educational and personal purposes.
• Specialist technicians to ensure you can get the most out of these technologies.

All students will take the core modules which are designed to give a comprehensive introduction to this specialist field. They will cover basic digital forensics and network security, and also cover computer system tools and the Linux/UNIX operating system. Dealing with digital evidence in a professional manner (that includes adhering to appropriate legal guidelines) is also covered. You will then follow either the Cyber Security or Digital Forensics pathway within the course (though each lead to the same named degree: the pathways are simply opportunities to specialise within the field). In addition, all students will take a Research Methods module and complete a project module.

A minimum of a lower second class honours degree (2:2) in a computing-related discipline.