Flynn Townsend Coursework · UTS

Bachelor of Cybersecurity · UTS Sydney

Coursework

Three years, Distinction average (WAM 76.57), strongest exactly where it counts: security fundamentals and communicating them.

01 Highlights

Highlights

My two highest marks are in the two most core security subjects, System Security (HD, 88) and Information Security and Management (HD, 86), and the third is Communication for IT Professionals (HD, 86). Strong on the security itself and clear when explaining it. That combination is the whole pitch.

In January 2025 I completed the Tropical Data Science School in Malaysia, a UTS international short program. Data science coursework in mixed teams, in an unfamiliar country, by choice.

02 Security core

Security core

  • System Security HD 88

    Hardening, endpoint and perimeter security, attack surfaces. My highest mark in the degree.

  • Information Security & Management HD 86

    Governance, risk and policy, the language a customer's security leadership actually speaks.

  • Cyber Threat Intel & Incident Response D 81

    Produced a full APT38 incident response plan on the ACSC template with NIST and SANS lifecycles, mapped to MITRE ATT&CK. Guest speakers from vendor ThreatDefence.

  • Cloud Security D 82

    AWS (EC2, IAM), ACSC cloud guidance, ISO/IEC 27017 and shared responsibility, assessed through a migration security report. AWS Cloud Practitioner cert in progress.

  • Digital forensics (two subjects)

    From fundamentals to a court-style expert report on EnCase E01 images: hash-verified evidence, artefact correlation with Autopsy, FTK Imager and Eric Zimmerman tools, and counter-forensics finds including a JPEG/ZIP polyglot.

  • Cryptography

    Analysed an SSH man-in-the-middle attack; cracked WEP and WPA2 in a lab and compared them to WPA3. I can explain why crypto matters because I have broken the weak versions myself.

  • Network Fundamentals D 81

    TCP/IP, DNS, DHCP, VPNs and firewalls, hands-on in Wireshark and Packet Tracer. The foundation under every security conversation.

  • IoT & mobile security

    IoT threat modelling that fed directly into my capstone detection pipeline, plus platform security for mobile.

03 Analytics & ML

Analytics & machine learning

  • Data Analytics in Cybersecurity D 78

    Spam and intrusion classifiers in scikit-learn, TensorFlow and PyTorch, tested against adversarial ML evasion, extended with a deep-learning DDoS detector.

  • Cybersecurity Capstone Studio

    The IoT anomaly detection pipeline: Isolation Forest on IoT-23, served from a Flask API on a Raspberry Pi, live predictions into Elastic and Kibana.

  • Introduction to Data Analytics 2026

    A complete loan-default classification pipeline: 35,000-record training set, 19 attributes, engineered temporal features, a deliberate missing-data strategy and a held-out 15,000-prediction submission, plus a data-format bug caught before it silently corrupted half the test set.

  • Tropical Data Science School Malaysia

    UTS international short program, January 2025. Data science in mixed teams abroad.

04 Professional

Professional & communication

  • Communication for IT Professionals HD 86

    An HD in communication inside a technical degree, then exercised for real: a court-style forensics report for a non-technical audience, an IR plan written for executives, and a transdisciplinary briefing and formal speech to a mixed-discipline room.

  • Project Management & the Professional

    Scope, stakeholders, risk and delivery, the vocabulary of consulting and pre-sales work.

  • Foundations

    Programming, web systems, database fundamentals and business requirements modelling from the first two years. The reason I could build and ship Dispense and Function. on top of the degree.