Cybersecurity and Machine Learning

This programme focuses on two key areas: securing AI systems to ensure they are robust, responsible, and regulatory-compliant and using AI to enhance cybersecurity methods against complex threats.Machine learning (ML) technologies have become critical to cybersecurity, as they are able to quickly analyse millions of events and flag abnormal behaviour or potential security threats. Conversely, confidentiality and integrity are crucial to AI and cybersecurity techniques are therefore crucial to protecting AI systems from vulnerabilities and attacks.This programme embodies the idea of "AI for Security, and Security for AI," offering training in fundamental cybersecurity practices like secure software development, digital forensics, and ethical hacking, combined with advanced AI and machine learning concepts.The increasing use of AI across different industry sectors and the rise in cyber attacks threatening individuals, organisations and countries is driving demand for professionals proficient in both cybersecurity and AI. Studying this programme will equip you with a distinctive set of skills in both of these interconnected fields and open up a wide range of career opportunities.

A Bachelor's degree with a 2:2 (lower second class) Honours degree (or equivalent) in Computer Science or another relevant quantitative discipline such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects. Applicants should also be competent in computer programming (C/C++, Python) to the level expected at the end of the first year of a BSc Honours Degree in Computer Science.