Master of Food Science and Technology in Richmond

The Certificate III in Laboratory Skills is a comprehensive program designed to equip students with fundamental knowledge and practical skills required to work effectively in a laboratory environment. Through hands-on training and theoretical instruction, learners will gain proficiency in conducting experiments, using laboratory equipment, and adhering to safety protocols, preparing them for entry-level positions in various scientific and research settings.

Get the skills you need to work in a pathology lab with the Certificate III in Pathology Assistance (HLT37415). This nationally recognised training qualification will teach you how to receive, prepare and dispatch pathology specimens as well as prepare culture media and perform basic tests. Graduate job-ready for laboratory and field work. Enquire now the list of study units and your eligibility for subsidies and government funding.

The Professional Certificate of Competency in Big Data and Analytics in Electricity Grids introduces the use of big data and analytics in modern energy systems. It covers data acquisition, processing, and visualisation, along with machine learning models such as artificial neural networks and decision trees. Engineers will learn to apply data-driven solutions to real-world challenges in electricity grids. This qualification is ideal for professionals seeking to enhance decision-making and operational efficiency in the energy sector. Enquire now for a full list of entry requirements and available enrolment dates.

The Graduate Certificate in Industrial Automation and Machine Learning provides professionals with advanced skills in automation, machine learning, and process control. As industries increasingly adopt automated systems, this course equips students with the expertise to enhance efficiency, accuracy, and cost-effectiveness. It focuses on technical, communication, and problem-solving skills essential for addressing complex engineering challenges. Graduates will be prepared to analyse, innovate, and implement advanced automation solutions, making them well-suited for roles in industrial automation, control systems, and machine learning applications. Enquire now for a full list of entry requirements and available enrolment dates.

This Advanced Diploma will equip you with the necessary skills to address the demands of the civil and structural engineering industry with a focus on material testing. This course is focused on the skills needed to select construction materials suitable for different applications, such as buildings, bridges, roads, and tunnels among other civil construction projects. Upon completion of this program, you will gain skills and knowledge in conventional and emerging construction materials, covering materials characterization, quality control and standards.

The Data Analytics: Transform course is ideal for those looking to enter the data/tech industry, focusing on turning data into actionable insights. It covers data collection, organisation, cleaning, and analysis to support informed decision-making. Students will learn Python programming, data visualization, SQL, regression modeling, and web scraping. They will translate data into actionable insights and drive business results. The course concludes with a capstone project, allowing students to apply their skills to a topic of their choice, demonstrating practical outcomes for the workplace.

The Data Analytics with Python: Elevate course offers flexible learning tailored to your schedule, whether over six months or a few weeks. It teaches foundational Python and SQL skills, with practical applications in data visualisation, exploratory data analysis, and simple data modelling. The course includes extensive practice through lab exercises and embedded activities, enhancing your coding and analytical skills. Students will also complete a mid-point and a final project to consolidate their learning and demonstrate their proficiency in data analytics.

The Data Analytics: Elevate course is tailored for professionals aiming to harness the full potential of data. Data Analytics involves extracting valuable information from raw data, a process that includes sourcing, cleaning, and analysing data to uncover insights and discern trends hidden within large data sets. With the increasing volume and variety of data, the ability to confidently use data to drive business decisions is crucial. This course is designed for those who wish to deepen their understanding of data analytics and apply it effectively to promote business growth.

The Professional Certificate of Competency in Digital Twins and Simulation Monitoring introduces the principles of digital twinning, a key component of Industry 4.0. It explores how products, processes, and operations are digitised to enable advanced simulation and modelling. By creating virtual representations, this approach helps analyse procedures and identify potential issues before they occur. Despite being a relatively recent development, digital twinning is driving rapid innovation and shaping the future of industrial operations. Enquire now for a full list of entry requirements and available enrolment dates.

The Graduate Certificate in Safety, Risk, and Reliability Engineering provides professionals with essential skills in safety management, risk assessment, and reliability engineering. It equips students with the expertise to manage safety systems, mitigate risks, and enhance reliability in various engineering fields. Covering system safety, risk management, incident investigation, and reliability analysis, the course combines theoretical knowledge with practical application. Students will gain insights into advanced safety technologies and risk mitigation strategies, preparing them for real-world challenges in industrial environments. Enquire now for a full list of entry requirements and available enrolment dates.