Master of Artificial Intelligence

International reputation

Accredited at Professional level by ACS (Australian Computer Society)*​

Ranked 125th university globally**​

Top 10 university in Australia​**

​*ACS is a signatory to the Seoul Accord, which means graduates are internationally recognised.

**QS World University Rankings 2026.

Holistic professional skills paired with real-world practice​

This program equips students with advanced, internationally recognised knowledge in AI, covering machine learning, deep learning, data science, intelligent systems, and beyond.

Graduates will be able to use their skills to create real-world AI solutions, demonstrate strategic thinking grounded in ethics and social responsibility, and confidently lead innovation in both business and community settings.

Tailor your pathway with 2 streams

  • Project : Partake in a practical and applicable AI project with an industry partner to build experience​
  • Research: Choose a specific interest for a minor thesis. This opens pathways to PhD study.

Duration: 2 years

Intake: October

Talk to our program advisor

Career prospects

Solid knowledge and skills provide wide-ranging and long-term growth prospects. Notable career options include:​

  • AI engineer​
  • AI scientist​
  • Data engineer​
  • AI product manager​
  • Machine learning scientist​
  • Data scientist

Why study Artificial Intelligence at RMIT?

Learn from global experts to master essential and advanced AI skills​

Study with classmates from a diverse range of occupations​

Collaborate in industry projects with leading tech companies​

Enhance soft skills for business-ready tech solutions​

Establish a strong foundation for future research journey​

Join a collaborative, research-driven AI expert community ​

Meet our alumni

Oliver Harold Joergensen banner image

Oliver Harold Joergensen, PhD Candidate

“I chose the Research Stream to focus on Reinforcement Learning (RL), which has the potential to revolutionise industries through super-human performance. My thesis aims to enhance the robustness of RL methods for real-world applications. Studying at RMIT fuelled my passion for the field and led to a PhD position at Dalhousie University, where I plan to explore model-based RL and contribute to meaningful breakthroughs.”
Nguyen Thi Dieu Chi, Data Manager, Masterise Homes

Nguyen Thi Dieu Chi, Data Manager, Masterise Homes

“I conducted research supervised by Dr Minh Dinh, focusing on building optimal software to summarize online customer reviews for actionable business recommendations. Two courses, Data Structures and Algorithms and Social Media and Networking Analytics, equipped me with essential concepts and techniques to extract reliable business insights.”
Vy Nguyen banner image

Vy (Gavin) Nguyen, Co-founder, Hello Clever

“In my research stream, my thesis explored the dynamic role of emotions in conversations, identifying triggers for emotional shifts to enhance empathetic virtual assistants and improve conflict resolution. A highlight was working with Professor Jenny Zhang in Melbourne, whose guidance enriched my research approach and bolstered my confidence to pursue a PhD.”
Nguyen Hoang Khang banner image

Nguyen Hoang Khang, Data Scientist, Rackspace Technology

“In the project stream, I developed an automated credit loan system to streamline the loan application process for clients and reduce information-gathering time for the financial industry. My lecturers kept us updated on new technologies, and Dr Vinh Dang's Deep Learning course balanced theory and practice effectively. Networking with my diverse cohort enriched my technical and soft skills.”
Hung Phan banner image

Phan Quoc Hung, PhD Candidate

“The program sparked my passion for research, leading me to the research stream where I collaborated on an academic paper with Dr Quang Tran, leveraging my background in trading, finance, and economics to help develop a forecasting price system for agricultural products. Additionally, Dr Nguyen Hieu Thao made mathematics enjoyable by simplifying complex concepts, overcoming my aversion to the subject.”

Guest lectures delivered by leading industry experts