Telecommunications Data Centre Engineering​

This subject provides a comprehensive foundation in securing and maintaining high-level network architectures within a data centre environment. It bridges the gap between basic workplace cyber awareness and the complex technical requirements of designing security perimeters and configuring enterprise-grade security devices. Students learn to handle the sophisticated troubleshooting demands of integrated IP networks, ensuring that the data centre’s primary communication pathways remain resilient against both technical failures and external threats.

• Establishing organizational cyber security best practices and employee awareness programs.
• Designing and implementing robust security perimeters to protect ICT network integrity.
• Configuring and managing advanced security devices tailored for enterprise-scale organizations.
• Planning systematic troubleshooting and optimization strategies for complex, integrated IP networks.

Focusing on the specialized requirements of high-value assets, this subject explores the methodologies required to protect infrastructure that is vital to national or organizational operations. It emphasizes the use of advanced design methodologies to create a security architecture that is inherently resilient. By treating the data centre as a critical node, the curriculum ensures that security is integrated into the very blueprint of the facility’s digital and physical framework.

• Identifying and implementing protection strategies specifically for critical infrastructure assets.
• Utilizing formal design methodologies to develop comprehensive security architectures.
• Assessing risk and vulnerability within the context of essential services and uptime requirements.
• Aligning security architecture with organizational governance and international standards.

This subject introduces the essential software tools and computational fluid dynamics (CFD) concepts used to simulate data centre environments. By mastering engineering applications on personal computers, students gain the ability to model complex scenarios before they are implemented in the physical world. This predictive approach is critical for optimizing performance and avoiding costly design errors in high-density computing environments.

• Operating specialized engineering application software for data centre modeling and analysis.
• Applying computational fluid dynamics (CFD) to predict airflow and thermal behavior.
• Developing digital twins or virtual models to test environmental variables.
• Using software interfaces to translate theoretical engineering data into visual models.

Centred on the core physical pillars of data centre engineering, this subject covers the intricate planning of power and cooling systems essential for sustained operations. It combines basic engineering computational problem-solving with advanced computer simulations to design plant systems that are both efficient and scalable. The curriculum ensures that designers can balance the massive energy requirements of modern hardware with the mechanical constraints of industrial cooling solutions.

• Planning and sizing electrical power systems to meet critical load and redundancy requirements.
• Designing sophisticated cooling architectures to manage high-density thermal loads.
• Solving complex engineering computational problems related to facility load bearing and efficiency.
• Utilizing plant design simulations to validate the integration of mechanical and electrical systems.

This subject focuses on the day-to-day operational excellence and oversight of a data centre using Data Centre Infrastructure Management (DCIM) tools and SCADA systems. It covers the administrative and technical aspects of facility management, including change requests, service level agreements (SLAs), and the supervision of cabling projects. Special emphasis is placed on modern efficiency techniques like aisle containment and the holistic management of plant and infrastructure to ensure maximum uptime.

• Implementing and managing aisle containment systems to optimize airflow and cooling efficiency.
• Managing integrated plant and facility infrastructure through DCIM and SCADA monitoring.
• Supervising complex cabling projects and ensuring compliance with fire safety and equipment standards.
• Administering ICT change management and developing service level agreements for stakeholders.

Providing the fundamental physical science behind data centre power, this subject delves into the mechanics of single and multiple path circuits. Students learn to solve practical problems involving magnetic and electromagnetic devices, which are the building blocks of transformers and motors within the facility. Throughout these technical applications, a rigorous focus on Australian work health and safety (WHS) regulations ensures all electrical tasks are performed safely and legally.

• Applying WHS regulations and codes of practice to electrical and data centre work environments.
• Solving technical problems and performing calculations for single path electrical circuits.
• Analysing and troubleshooting complex multiple path circuits and distribution networks.
• Evaluating the performance and application of magnetic and electromagnetic devices in power systems.

This subject equips students with the mathematical tools necessary to interpret operational data and solve technology-related problems through statistical analysis. By applying probability and statistical techniques to engineering tasks, students can predict failure rates, optimize maintenance schedules, and improve operational processes. This data-driven approach is essential for maintaining the high reliability and “five-nines” availability standards expected of modern data centres.

• Applying statistical methods to solve practical technology and engineering problems.
• Using operational data to improve process capability and predict system performance.
• Implementing probability techniques to assess risk and reliability in engineering tasks.
• Interpreting statistical trends to inform data centre capacity planning and maintenance.

Serving as the theoretical backbone of the diploma, this subject covers the advanced algebra, numerical methods, and physics principles required for high-level engineering. Students explore fluid and thermodynamics, which are vital for understanding the movement of air and liquids in cooling systems. These mathematical competencies allow for the precise calculation of the physical forces and energy transfers occurring within the data centre’s mechanical infrastructure.

• Applying technical mathematics and advanced algebra to complex engineering calculations.
• Utilizing numerical methods to solve non-linear engineering problems and simulations.
• Applying fluid and thermodynamic principles to analyze data centre cooling and airflow.
• Performing physics-based calculations to validate the structural and mechanical integrity of designs.

This subject focuses on the high-level management and “soft skills” required to lead technical teams and manage large-scale ICT projects. It covers everything from business analysis and client interaction to the ethical and legal considerations of IP and privacy. By integrating Lean Six Sigma processes, students learn to drive continuous improvement in process capability, ensuring that technical projects are delivered efficiently, ethically, and in alignment with business goals.

• Leading team effectiveness and managing personal work priorities within a professional framework.
• Planning and monitoring business analysis activities and managing large-scale ICT projects.
• Navigating ethics, privacy, and intellectual property laws within Australian ICT environments.
• Applying Six Sigma methodologies to improve process capability and produce technical documentation.