Data Analytics for Cyber Security

In this unit, you will explore the role of data analytics in cybersecurity, focusing on techniques and frameworks such as anomaly detection, intrusion detection systems, threat intelligence, and risk analysis. You will learn to apply machine learning and big data analytics to detect, mitigate, and respond to cyber threats, gaining hands-on experience in analysing security data to identify vulnerabilities and predict potential intrusions. In addition, you will take ethical considerations in cybersecurity, including data privacy, and the human factors affecting security practices. By the end of this unit, you will be prepared to make data-driven decisions in cybersecurity operations and enterprise risk mitigation.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Interpret complex security data to identify patterns, anomalies, and potential cyber threats in diverse organisational contexts;
2. Integrate appropriate big data frameworks to analyse large-scale security datasets;
3. Design actionable solutions for automated threat detection and security operations;
4. Synthesise data-driven insights and strategies with organisational security requirements individually and as part of a team;
5. Evaluate ethical implications in cybersecurity analytics.