Master of Cybersecurity

This subject is designed to provide a graduate-level student an in-depth understanding of the methodologies, technologies, and algorithms currently used in machine learning. Students will be introduced to the theory behind a range of machine learning tools and practice applying the tools to different applications. It explores topics such as classification, linear models, supervised and unsupervised learning in conjunction with applied and theoretical machine learning concepts. Students complete practical activities using machine learning algorithms and methods.

Pre-requisite: MFA501 Mathematical Foundations of AI

Assessment Tasks: Notebook with mark-up, presentation, model selection

Delivery Mode: On Campus, Online

Human-Centric Cybersecurity in a Smart Society develops students' knowledge and understanding of advancements in digital technology with consideration of human factors and a smart digital society. Digital disruption, contemporary cybersecurity solutions, and security breaches will be explored to design a sustainable and secure digital world including social media and virtual spaces, and ensure compliance with standard security frameworks. Students will design, deploy and communicate smart effective software solutions for both business and entertainment applications, that are based on the smart trust scheme needed for a digital society.

Pre-requisite: SFW541 Software Fortress and Web Protection

Assessment Tasks: Report, presentation

Delivery Mode: On Campus, Online

This subject is designed to provide students an opportunity to pursue a significant IT project in a professional environment. This enables students to develop skills that enhance their prospects of gaining meaningful employment and build their career for the future.

Work integrated learning broadens the students' learning environment while they are studying and allows them to see first-hand how their learnings in their degree translates in practice, as well as how 'real world' practice relates to what they are learning at University.

There are two work integrated learning options available to students:

Students are offered the opportunity to undertake an industry placement at an organisation in a suitable ICT position. This encourages them to build long-term relationships with the tech industry and provides an opportunity for them to work with and learn from people who may end up becoming colleagues, managers or mentors. It also provides a context in which to enhance their communication skills and work collaboratively in a professional context. Students will undertake a series of industry-led tasks that are relevant to their field of study in order to understand the key concepts of working in and managing a professional technology team with emphasis placed on the operation of the environment.

Students respond to criteria set within the context of an industry project. An understanding of research methodologies appropriate to professional practice and the documentation of personal creative investigation will be explored. Students will also further investigate and examine entrepreneurial and commercial opportunities through collaborative work practice. Students draw upon the philosophical, practical, methodological, theoretical and technical tools they have utilised over the duration of their degree to successfully complete an industry project. Students are mentored through this project with complementary practice-based expertise. Projects must pertain to the field of ICT. The subject is delivered from a cross discipline perspective and draws on both specialised and common industry practices. All projects must include evidence of critical analysis, reflexive and reflective practice and social engagement, in addition to the use of contemporary industry standard tools and techniques.

Students are required to work both independently and as part of a collaborative team in order to conduct research, analyse and define project parameters and deliver innovative solutions.

Pre-requisite: REM502 Research Methodologies and a completion of at least 70 credit points

Assessment Tasks: Industry placement, journal, report

Delivery Mode: On Campus, Online

Credit: This is a 20-credit point subject