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Learn how to solve challenging business problems and drive innovation by mastering the essentials of machine learning with one of the industry’s leading data science experts.

About this microcredential

This interactive course will teach you how to design and implement innovative machine learning solutions to solve complex real-world problems. With the advent of a new digital era, businesses are facing increasingly challenging and complex problems. Smart organisations that can successfully leverage value from their data gain unparalleled competitive advantages – with machine learning widely used across many industries, such as financial services, healthcare and telecommunications.

You will learn essential machine learning techniques in depth, such as regression, classification, and clustering. Featuring a uniquely transdisciplinary approach to learning, this microcredential will also introduce you to agile project management, entrepreneurship and data citizenship that will prepare you to tackle complex problems in the future, providing transferrable skills across a broad range of industries, sectors and organisations.

This dynamic, innovative approach, combined with hands-on learning and practice will help you to become well versed in implementing, optimising and maintaining machine learning solutions that can disrupt industries and change people’s lives for the better.

Whether you’re keen to unlock new career opportunities or help your organisation develop more strategic, innovative initiatives, this microcredential will help you master the latest thinking and best industry practices in data science and become an invaluable contributor in whatever field you work in.

This course has been co-designed by renowned academics and industry partners from the UTS Master of Data Science and Innovation program.

Key benefits of this microcredential

This microcredential aligns with the 2-credit point subject, Applied Data Science for Innovation (36124) in the Master of Data Science and Innovation. This microcredential may qualify for recognition of prior learning at this and other institutions.

Who should do this microcredential?

This microcredential is suitable for anyone interested in learning more about machine learning, such as:

Business analysts

Data analysts

Developers

Entrepreneurs

Project managers

Product owners.