Machine and Deep Learning in Cybersecurity
Utilise AI for cybersecurity, tackling threats like malware and fraud with machine learning.

The Machine and Deep Learning in Cybersecurity module empowers students to leverage AI for tackling complex security threats like anomaly detection, malware identification, and fraud prevention.

You’ll dive into cutting-edge algorithms, from neural networks to time series analysis and adversarial machine learning, mastering the skills to build and evaluate powerful models tailored for cybersecurity.

With hands-on labs in Python, Scikit-learn, TensorFlow, and PyTorch, this course bridges theory and practice, challenging you to develop AI solutions that enhance security and tackle real-world risks.

By the end of the module, you’ll be ready to deploy advanced machine and deep learning strategies to defend against cyber threats.

Stand out in a competitive field

With an internationally recognised qualification and cutting-edge cybersecurity skills. Digital4Security’s master’s programme arms you with crucial tools employers are searching for, preparing you to tackle real-world digital threats. Get ready to lead Europe’s cyber defence and shape a safer, more resilient digital future.

This module equips students with the skills to conduct thorough digital forensics investigations while maintaining evidence integrity.

It covers essential techniques in analysing data from operating systems, mobile devices, and networks, alongside managing eDiscovery across various platforms.

Through practical use of forensic tools and case studies, students gain hands-on experience in forensic methodologies and compliance. By the end of the module, students will be prepared to perform forensic analyses, record detailed findings, manage eDiscovery processes, and uphold high standards in handling and presenting digital evidence

Machine and Deep Learning in Cybersecurity Utilise AI for cybersecurity, tackling threats like malware and fraud with machine learning.