Macquarie University
Cyber Security: Essentials for Forensics Specialization
Macquarie University

Cyber Security: Essentials for Forensics Specialization

Cyber Forensics, Mobile Security, and AI. Build expertise in forensics, mobile security, and AI to detect and combat cybercrime

Matt Bushby

Instructor: Matt Bushby

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Get in-depth knowledge of a subject
4.5

(6 reviews)

Intermediate level
Some related experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.5

(6 reviews)

Intermediate level
Some related experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Conduct digital investigations and recover forensic evidence securely.

  • Analyse and interpret data from mobile devices and applications.

  • Apply AI and machine learning to detect and counter cyber threats.

  • Understand legal, ethical, and compliance requirements for digital forensics.

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Taught in English
Recently updated!

September 2025

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Specialization - 3 course series

What you'll learn

  • Conduct digital investigations and collect admissible evidence.

  • Analyse file systems, mobile devices, and network activity.

  • Use forensic tools to recover and examine deleted or hidden data.

  • Understand legal, ethical, and procedural standards in forensics.

Skills you'll gain

Category: File Management
Category: Mobile Security
Category: File Systems
Category: Mobile Development Tools
Category: Disaster Recovery
Category: Investigation
Category: Network Analysis
Category: Data Integrity
Category: Graphical Tools
Category: Real Time Data
Category: Incident Response
Category: Computer Security Incident Management
Category: Threat Detection
Category: Malware Protection
Category: Cybersecurity
Category: Criminal Investigation and Forensics
Category: Data Security
Category: Regulation and Legal Compliance
Category: Digital Communications
Category: Data Storage

What you'll learn

  • Analyse mobile OS architecture and identify security vulnerabilities.

  • Use forensics tools to extract and interpret mobile device evidence.

  • Detect mobile malware and apply reverse engineering techniques.

  • Implement best practices to secure mobile apps, data, and networks.

Skills you'll gain

Category: Android (Operating System)
Category: Mobile Security
Category: Apple iOS
Category: Encryption
Category: Malware Protection
Category: Disaster Recovery
Category: Analysis
Category: Secure Coding
Category: Mobile Development
Category: Criminal Investigation and Forensics
Category: Computer Security Incident Management
Category: Cybersecurity
Category: File Systems
Category: Cloud Security
Category: Investigation
Category: Debugging
Category: Legal Proceedings
Category: Application Security
Category: Security Strategy
Category: Computer Security

What you'll learn

  • Understand core AI and ML concepts applied to cyber threat detection and defence.

  • Use machine learning to analyse malware and detect anomalies in networks.

  • Explore AI-driven tools for fraud prevention and incident response.

  • Identify and defend against adversarial attacks on AI systems.

Skills you'll gain

Category: Anomaly Detection
Category: Machine Learning
Category: Applied Machine Learning
Category: Malware Protection
Category: Threat Detection
Category: Machine Learning Methods
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Network Analysis
Category: Fraud detection
Category: Cyber Threat Intelligence
Category: Intrusion Detection and Prevention
Category: Artificial Neural Networks
Category: MLOps (Machine Learning Operations)
Category: Artificial Intelligence
Category: Data-Driven Decision-Making
Category: Machine Learning Algorithms
Category: Cybersecurity
Category: Cyber Security Strategy
Category: Threat Modeling

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Instructor

Matt Bushby
Macquarie University
15 Courses9,592 learners

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