Master of Engineering in Civil - Structural

at Engineering Institute of Technology - Melbourne Campus Australia

There is a global shortage of automation, instrumentation, and control engineers due to the rapid growth of new industries and technologies.

The Master of Engineering (Industrial Automation) addresses the growth and new technologies in the Industrial Automation industry. The Master of Engineering (Industrial Automation) course offers twelve core modules and a project thesis to provide the knowledge and skills required for this industry. Students with a background in electrical, electronics, mechanical, instrumentation & control, or industrial computer systems engineering would benefit from this program as it prepares them for automation in the process and manufacturing industries.

Industrial Automation Introduction provides the fundamental knowledge that is essential in the automation area. Power Engineering covers major equipment and technologies used in power systems, including power generation, transmission and distribution networks. Programmable Logic Controllers covers in-depth principles of operation of programmable controllers, networking, distributed controllers, and program control strategies. Industrial Process Control Systems combines the process identification and feedback control design with a broad understanding of the hardware, system architectures and software techniques widely used to evaluate and implement complex control solutions.

Furthermore, Industrial Instrumentation identifies key features of widely used measurement techniques and transducers combined with microprocessor devices to create robust and reliable industrial instruments. Industrial Data Communications provides the requisite knowledge to manage modern field buses and industrial wireless systems. Safety Instrumented Systems introduces the common safety philosophy of hazard identification, risk management and risk-based design of protection methods and functional safety systems. SCADA and DCS cover hardware and software systems, evaluation of typical DCS and SCADA systems and configuration of DCS controllers. Advanced Process Control covers advanced control systems, algorithms and applications. Machine Learning for Industrial Automation provides the intelligent control basics in the automation area.

The Project Thesis, as the capstone of the course, requires a high level of personal autonomy and accountability, and reinforces the knowledge and skill base developed in the preceding subjects. As a significant research component of the course, this project will facilitate research, critical evaluation and the application of knowledge and skills with creativity and initiative, enabling students to critique current professional practice in the Industrial Automation industry.

The society in which we live today is fundamentally dependent on the structures that structural engineers design and deliver. This Master of Engineering (Civil: Structural), therefore, addresses the specific core competencies and associated underpinning knowledge required of structural engineers.

The curriculum covers a diverse range of topics geared to producing well-rounded graduates equipped with the knowledge that employers require. This master’s program aims to provide the student with a multitude of tools and techniques, including those that tackle specific organizational problems and also those needed to design and implement engineering structures.

The Project Thesis is the capstone unit of the program and draws on the topic and reinforces the knowledge and skill base developed in the preceding units. As a significant research component of the program, this project will facilitate research, critical evaluation along with the application of knowledge and skills with creativity and initiative, enabling students to critique and potentially enhance current professional practice in the civil engineering industry. The Project Thesis requires a high level of personal autonomy and accountability.

The rapid development of the renewable field has led to a shortage of fully skilled electrical engineers who are competent in both classic power system operation and renewable system integration.

The program presents the widely used wind and solar energy as centralized and distributed power sources as well as the effects of renewable integration on classic power issues. You will also learn energy storage as an integral part of a microgrid or at a larger utility level. You will get the opportunity to understand the use of artificial intelligence and machine learning as data-driven approaches in smart grids with the application of smart meters. The section on project management provides the skills required for effective management of power generation, transmission, and distribution projects.

The Project Thesis, the capstone of the program, requires a high level of personal autonomy and accountability, as it reinforces the knowledge and skill base developed in the previous units. As a significant research component of the program, this project will facilitate research, critical evaluation, and the application of knowledge and skills with creativity and initiative, enabling you to critique current professional practice in the electrical engineering industry.

The Master of Engineering (Mechanical) addresses the specific core competencies and associated knowledge and aptitudes required of mechanical engineers. The program will provide you with the requisite skills in mechanical engineering technology and maintenance to take advantage of these growing needs in the industry. Ultimately the degree will imbue graduates with the confidence required of professional and proficient mechanical engineers.

The learning journey culminates with a project which integrates the knowledge acquired during the program. You will gain an accurate understanding of the content, and the process will exercise your creativity and design-thinking capabilities. Employers hold those who possess these skills in high regard, and graduates can expect a significant advantage when interacting with employers, clients, consultants, and fellow engineering peers.