Cyber Security and Emerging Threats MSc

The aim of this module is to equip students with comprehensive knowledge and hands-on experience in advanced hacking techniques and their corresponding countermeasures. It focuses on developing a deep understanding of penetration testing methodologies, emphasizing their critical role in enhancing the security of modern networks and systems. 

This module is designed to equip master's students with the theory and practical knowledge in these three interconnected domains. Through the exploration of Linux-based operating systems, hands-on network configuration, and proficiency in Python programming, students will develop the technical skills and problem-solving capabilities necessary to analyse, design, and implement effective system-level and networked solutions in real-world contexts.

The purpose of this module is to provide students with a systematic understanding of the principles and practice of network security. The aim is to address security issues, tools, technologies, algorithms and protocols, and best practices as demanded by the rapidly changing technology. New developments in network security and systems have created new dimensions and platforms that demand looking into emerging computing technologies, especially security issues in the area of cloud computing, mobile and wireless technology.

This module aims to equip students with advanced knowledge and practical skills to secure and leverage emerging technologies, focusing on artificial intelligence (AI) and quantum technologies. It emphasizes the development of robust cybersecurity strategies tailored to modern threats and the application of quantum-safe principles.

This module aims to provide students with the theoretical and practical foundation to address cybersecurity challenges. Students will gain knowledge in legal and regulatory frameworks, risk management, disaster recovery, and operational security. Additionally, the module integrates secure practices within the Software Development Life Cycle (SDLC), secure SDLC methodologies, and CI/CD processes, ensuring secure software development and deployment.

The Operating Systems for Secure Environments module is designed to provide students with a comprehensive understanding of the design, development and implementation of Operating Systems for Secure Environments, including embedded and IoT systems, and Mobile Communication systems and server-based systems. This module will give students a comprehensive understanding of the design, development, and implementation of operating systems for secure environments. This will include key mechanisms of Operating Systems and Security using both hardware and software components.

This module aims to equip students with the tools and techniques necessary to design and implement effective and efficient experiments in the context of computer science projects. It will also provide students with the skills required for statistical analysis, hypothesis testing, and presenting results within the scope of computational research and data-driven studies.

The primary aim of this module is to develop student’s employability skills and support their search for a placement. The module will include communication, team working, negotiation and problem-solving skills development as well as practical workshops on selection methods, CV's, cover letters, interview preparation and techniques. The module will also introduce students to other methods that will include aptitude test and assessment centres.

The objective of this module is to offer students a three-month (12-week) work placement that is directly applicable to their studies, encouraging them to engage in critical reflection on their learning through hands-on experience. Additionally, it seeks to develop students' intellectual and interpersonal abilities, thereby deepening their critical comprehension of real-world applications.

Learning is delivered through a blend of lectures, hands-on labs, group projects, and online content. You'll engage in workshops and research-led seminars led by academic experts and industry professionals. On average, full-time students have 12 hours of timetabled sessions and 28 hours of independent study weekly. Courses are taught at Hendon campus with access to digital resources and support. Facilities include cyber labs and simulation environments for real-world threat modelling.

You will be based at our north London campus. Our cyber security lab is in the Hatchcroft building and the Computer Network lab is in the Ritterman building.

If you're a full-time student, you should expect to spend a maximum of three days a week in classes. If you're studying part-time, you should expect one or two days a week.

We aim to make timetables available to students at least 2 weeks before the start of term. Some weeks are different due to how we schedule classes and arrange on campus sessions.

In a typical year, you’ll spend about 1200 hours on your course.

Outside of teaching hours, you’ll learn independently through reading articles and books, working on projects, undertaking research, and preparing for assessments including coursework and presentations.

Typical weekly breakdown

A typical week looks like this:

For placement, there may be additional hours.

Learning terms

On-campus: This includes tutor-led sessions such as seminars, lab sessions and demonstrations as well as student-led sessions for work in small groups.

Online learning: This is teaching that is delivered online using tools like Skype or Zoom, as well as work that you do yourself using online teaching resources.

Independent study: This is the work you do in your own time including reading and research.

Part-time study

You can also study this course part-time.

Assessments include group and individual coursework, lab tests, projects, in-class exercises, and a final viva. Coursework makes up the majority of evaluation, with emphasis on real-world application, reporting, and technical documentation. Formative feedback supports continuous improvement.

You'll evaluate your work, skills and knowledge and identify areas for improvement. Sometimes you'll work in groups and assess each other's progress.

Each term, you'll get regular feedback on your learning.