Cybersecurity and Artificial Intelligence MSc

Program Overview

This MSc program combines cybersecurity and artificial intelligence, preparing students for careers in both fields. It emphasizes practical application, equipping graduates with the skills to address cybersecurity challenges in the age of AI. The program includes core modules in cybersecurity and AI, as well as optional modules and a dissertation project, and is accredited by the British Computer Society and National Cyber Security Centre.

Program Outline

Degree Overview:

This MSc program combines cybersecurity and artificial intelligence (AI), two rapidly evolving fields with high demand for skilled professionals. The program aims to provide a strong foundation in both disciplines, equipping students with the knowledge and skills to address cybersecurity challenges in the age of AI. The program emphasizes practical application, preparing students for careers in various industries.

Outline:

The program is structured as a 1-year full-time course, starting in September. (15 credits) It covers cryptographic algorithms, major attacks, and security protocols. (15 credits)

• Development of Secure Software: This module covers the security analysis and secure development of software-based systems, focusing on secure design, programming, and testing.
It requires prior knowledge of software development, programming languages, and tools like IDEs, revision systems, and build systems. (15 credits) It covers incident handling, cyber threat hunting, digital investigation, and real-world case studies. (15 credits)
• Security of Control and Embedded Systems: This module explores security issues in systems that sense, analyze, and control physical elements, such as autonomous vehicles, traffic management systems, and robotic applications.
It addresses the challenges of security breaches in real-time systems and the potential safety consequences. (15 credits)
• Machine Learning and Adaptive Intelligence: This module covers core technologies underpinning modern AI, including statistical machine learning, probabilistic modeling, and state-of-the-art algorithms.
It requires some knowledge of linear algebra, differentiation, and probability. (15 credits) (15 credits)

Dissertation Project:

• Cybersecurity and AI Dissertation Project: This individual project allows students to choose from a wide range of possibilities within or outside the university.
It is completed during the summer under the guidance of a personal academic supervisor. The project is assessed through a dissertation and an oral examination. The topic must be at the interface of cybersecurity and AI, integrating the two areas of study. (60 credits)

Assessment:

Assessment methods include formal examinations, coursework, mini team projects, practical assessments, podcast and poster development, and a research project dissertation.

Teaching:

Teaching methods include lectures, online technical content, tutorials, practical lab sessions, and seminars. The program benefits from the expertise of both university faculty and external industry professionals.

Careers:

The program prepares graduates for a wide range of careers in cybersecurity and AI, including:

• Cybersecurity Analyst
• Security Engineer
• AI Engineer
• Data Scientist
• Machine Learning Engineer
• Ethical Hacker
• Penetration Tester
It is also certified by the National Cyber Security Centre (NCSC). The program is designed to provide students with the skills and knowledge needed to succeed in a rapidly evolving field. Graduates will be well-equipped to address the growing cybersecurity challenges in the age of AI and contribute to the development of secure and reliable AI systems.

Home (2024 annual fee)

£13,000

Overseas (2024 annual fee)

£31,000