Program Overview

Build strong expertise in IT systems management, data science, and networking and network security, as you complete units over one and half years, or longer if you’re eligible for our part-time study options.

After one year of full-time study (equivalent to 24 credit points), you could choose to graduate with a Graduate Diploma in Information Technology Management, Internetworking and Security or Data Science, depending on the units you study.

We understand that you might have work, family or other commitments to juggle, so you can complete your coursework in a way which suits your schedule.

Major: Artificial Intelligence and Data Science

Prepare for the workforce across a range of sectors. Whether you’re a graduate from an information technology degree or from another discipline, this course is designed to give you the technical skills needed to harness innovative solutions to industry challenges. You’ll gain knowledge and skills in the area of AI and data science and learn about emerging and future technologies, machine learning and AI techniques, data and business analysis, and data mining.

With a growing demand for AI and data specialists, having a unique skill set in data driven AI modellings and data analytics will give you the competitive advantage needed to succeed in the future workplace.

3 reasons to study Artificial Intelligence and Data Science at Murdoch

• Make use of our brand-new IT Innovation Hub, a cutting-edge learning teaching and research facility, fitted out with the latest mixed and augmented reality equipment, operational data centre and high-performance computing capabilities.
• This course has been designed in collaboration with industry partners with an emphasis on effective communication and the development of solutions to complex real-world IT problems.
• Learn from information technology experts and industry advisors as they share their experience and insights from a range of perspectives.

Develop your skills
Build essential skills and knowledge to meet your career or study goals. Topics you’ll cover include:

• AI techniques
• Data science methods
• Machine learning techniques
• Software tools that create efficient AI solutions
• Advanced computational and statistical tools