As part of its 2019 academic curriculum, Torrens University Australia (TUA) is now offering authorised cloud computing and data science courses built in collaboration with IBM, designed to help students acquire the skills and credentials needed to successfully join the cloud IT workforce.

As part of its 2019 academic curriculum, Torrens University Australia (TUA) is now offering authorised cloud computing and data science courses built in collaboration with IBM, designed to help students acquire the skills and credentials needed to successfully join the cloud IT workforce.

Students can now study a Master of Software Engineering – Artificial Intelligence Advanced or Cloud Computing Advanced, or a Bachelor of Software Engineering – Artificial Intelligence or Cloud Computing. Alternatively, they can opt for micro-credentials and attain specific elements of learning from either of the programs.

In line with the changing landscape of the tech industry, TUA’s artificial intelligence courses, in collaboration with IBM, have been designed to provide technical, creative and problem-solving skills required to succeed in a specialist software engineering role.

The course curriculum covers a range of technical subjects with a focus on the major areas of AI – computer vision, natural language processing, speech recognition, machine learning and robotics.

“As with all TUA courses, our AI program will have a strong focus on soft skills, to ensure students graduate with not only the required knowledge, but also the in-demand skills of ideation, design thinking, project and time management and interpersonal communication,” said Himanshu Khanna,. TUA’s Director of Innovation, Industry and Employability.

It has been predicted that that AI will be the most significant change driver over the next two decades, with 2.3 million jobs expected to appear as early as 2020(1), and industry feedback indicates a significant shortage of employees demonstrating both technical prowess and an ability to think critically and creatively.

(1) Data Scientist https://www.gartner.com/newsroom/id/3837763

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