Graduate Diploma in Artificial Intelligence and Data Science Murdoch University - Perth Campus, Australia

Increasingly, companies are using large datasets that have been generated by business activities and social media to uncover trends and insights that can be used to tailor products and services, anticipate demand, improve performance, or contribute to solving complex social, health and science-related problems.

Equip yourself with the analytical skills needed to work with big data.  This course is taught with a computational focus that combines information technology with mathematics and statistics.

The course is designed for information technology graduates and people working in information technology-related fields and provides the knowledge and skills IT professionals need to work with big data.

You’ll benefit from an emphasis on data resources management, business and data analytics and local area network design.  You may also choose to work on an advanced study project on your topic of choice to solve a current problem in the information technology industry.

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.
• Study on your own terms – we offer flexible study arrangements allowing you to upskill whilst you’re still earning so you can study full-time or part-time to suit your circumstances. (If you’re an international student you’ll need to study full-time).

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

• Data science
• Data architecture
• Project management
• Business analytics
• Programming