Master of Artificial Intelligence

The AI revolution is here. Will you join us?

Artificial intelligence (AI) is one of the most powerful forces behind digital disruption. And it's set to inject $15.7 trillion into the global economy by 2030.*

La Trobe's Master of Artificial Intelligence will set you on an exciting new path. It's the only Masters in AI in Australia that allows you to specialise in key technical areas, including interactive media and computer vision, or natural language processing. And you can also follow your curiosity, choosing from a wide range of electives including cybersecurity, big data, digital business and digital health.

Learn to use AI technology in a wide range of contexts, including digital healthcare, smart manufacturing, smart cities, sustainable energy infrastructure, precision agriculture and more. You'll learn from world-renowned lecturers who are leading the advancement of virtual reality and computer engineering.

Get a hands-on approach. Use your AI skills to solve real-world problems, take on an industry-based project with leading organisations including Microsoft, Optus, 4Pi Labs, Aerion, Quantum Victoria, Nanjing University of Information Science and Technology, Pivot Maritime International and Axicor.

You'll learn:

• Problem-solving with AI
  • Discover how research skills and deep learning algorithms are used to develop AI-based solutions to real-world problems.
• Machine learning
  • Learn how to analyse data to design, implement and evaluate machine learning techniques for solving real-world problems.
Deep learning techniques
• Explore deep learning techniques and apply them to AI functions like image recognition, machine translation and speech synthesis.
• Social, legal and ethical impact of AI
  • Gain an understanding of the legal, moral and societal issues faced by today's IT industry and their impact on how AI technology is used.

CAREER OUTCOMES

Digital disruption is producing strong demand for AI professionals in healthcare, manufacturing, agriculture, automotive and more. Graduates can follow a range of career opportunities, including:

• Artificial intelligence architect
  • Use artificial intelligence to improve processes and create new business opportunities.
• Software engineer
  • Use engineering principles and computer language to design, develop and maintain software systems.
• Machine learning engineer
  • Design, program, simulate and test machine-learning models and retraining systems.
• Data scientist
  • Work with computer hardware systems and networks to optimise their performance.
• Robotics engineer
  • Design and maintain robots and their electronic systems.
• Business intelligence developer
  • Design, develop and maintain business intelligence solutions