The Institute of Applied Technology Digital (IATD) at TAFE New South Wales Meadowbank has partnered with global data and AI company SAS, in an effort to address Australia's data skills shortage and transform education in the state.
IATD unveiled a 10-week Data Analytics Work Integrated Learning Program, co-developed with SAS, aimed at honing critical technical and enterprise skills.
The course covers areas such as critical thinking, problem solving, management, data visualisation, data modelling, and machine learning.
"The Data Analytics Work Integrated Learning Program offers a unique blend of theoretical learning and hands-on exposure to real-world challenges, panel presentations, and mock interview training," said Helen Fremlin, director of operations at IATD.
The programme is part of a broader Data Pathway at IATD, comprising up to four microcredentials that are recognised by leading universities, with data analytics and visualisation foundations, including learning and using the Python language in that context.
This pathway offers flexibility for working professionals to enhance their skills or transition into big data careers, as well as providing an alternative route for school leavers into digital roles.
Craig Jennings, vice president of SAS Australia and New Zealand, pointed to the significant gap between industry expectations and current market demands in the data-driven world.
"Our collaboration with the IATD reaffirms our commitment to democratising data and AI and building the nation's proficiencies," Jennings said.
The Data Analytics Lifecycle Program covers key areas including AI and data, cloud computing, cybersecurity, governance and ethics, and software development.
IATD is a collaboration between TAFE NSW, Microsoft, and several universities.
It designs microcredentials that rapidly adapt to industry needs.
Recent graduate Shuman Partoredjo described the programme as a "personal game-changer", with its rapid turnaround and practical benefits.
Eligible NSW residents can access the program at a subsidised rate, making it an accessible option for aspiring data professionals.
The collaboration aims to address the skills gap in data analytics by providing industry-relevant training and hands-on experience.
This initiative represents a significant step towards aligning academic education with industry requirements in the rapidly evolving field of data and AI.