Information session and workshops: Master of Artificial Intelligence

Event highlights

  • Learn about the Master of Artificial Intelligence program, including its curriculum, career outcomes, entry requirements, scholarships and exclusive offers
  • Join program lecturers in exclusive workshops to experience a real Master's classroom
  • Learn about the postgraduate scholarships and tuition assistance schemes for 2026
  • Meet one-on-one with our Senior Program Manager, leading lecturers and professional program advisors
  • Perks for attendees: application fee waiver for on-site submissions, and exclusive gifts upon successful deposits

Financial opportunities

  • 50% postgraduate scholarships
  • 20% tuition assistance schemes

Register to join

Workshop sneak peek: Experience a taste of the Master’s classroom

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Unlock the hidden layers of language. You will dive into modern NLP techniques to see how LLMs identify frustration, excitement and subtle cues. Master the use of embeddings to capture complex patterns, turning everyday language into a powerful tool for high-level business intelligence.

Enter the high-stakes frontier of AI-against-AI strategy. You will explore how defensive machine learning models are deployed to counter adversarial threats in digital banking. Gain the strategic insight needed to navigate this technological arms race and secure the future of global fintech.

As AI becomes embedded in real-world systems, the ability to translate research into practice is essential. This workshop explores the journey from laboratory model development to ethical deployment. You will analyse theoretical innovations in deep learning and gain the practical confidence to implement these models in healthcare settings, bridging the gap between theory and impactful reality.

Meet our faculty

Senior Program Manager Quang Tran
With over 15 years of teaching and extensive professional experience in the USA, Canada and Vietnam, Mr Quang is a driving force in technology education at RMIT. His expertise spans coding, software engineering design, and the development of robust technical solutions. His research interests focus on the practical application of these skills within computer science and AI education.
Dr Tri Dang
Associate Program Manager. He holds a PhD in Computer Science, with over 20 years of teaching and professional experience. His research focuses on Security & Privacy, Information Visualisation, and Human-Computer Interaction. His teaching areas include Data Structures & Algorithms, Database Systems, and Information System Security.
Dr Thuy Nguyen
Senior Lecturer, Artificial Intelligence. She holds a PhD from Austria. With over 20 years in teaching and research in Computer Science and AI in Europe, Janpan and Vietnam, she has authored over 80 papers and patents, received multiple awards, co-founded AI Academy Vietnam and trained CEOs, CTOs and IT specialists in AI and Machine Learning.
Dr Ginel Dorleon
Lecturer, Artificial Intelligence. He earned his PhD in France, focusing on using AI techniques to mitigate data bias within health decision-making systems. His research expertise encompasses Machine Learning, AI for Healthcare, Explainable AI, Data Bias, and Algorithm Fairness.
Dr Hoang Van
Lecturer. He holds a PhD in Computer Science from the United States. He specialises in machine learning and natural language processing for medical applications, focusing on low-resource languages to improve healthcare access. His research on intelligent diagnostic systems is featured in venues like EMNLP, SIGIR, and JAMIA.

About RMIT’s Master of Artificial Intelligence

a group of post graduate students discussing in a computer room

Gain a comprehensive education through core courses and electives that allow you to build expertise in AI development, machine learning, deep learning, and data science.

Tailor your pathway:

  • Project Stream: Engage in a practical AI project with an industry partner or your current workplace to gain hands-on experience
  • Research Stream: Focus your studies on a specific interest and complete a minor thesis, paving the way for further research or a PhD program

Why study Artificial Intelligence at RMIT?

Globally recognised degrees

RMIT is ranked #125 university globally and top 10 in Australia by QS World University Rankings 2026

Excellence in research

RMIT is ranked above world standard in Artificial Intelligence research by Excellence in Research for Australia, which is conducted by the Australian Research Council, part of the Australian Government.

Professional recognition

The Master of Artificial Intelligence is fully accredited at a Professional level by the Australian Computer Society (ACS) - a signatory to the Seoul Accord

Industry connections

Collaborate with industry leaders such as Microsoft, Heineken, VinGroup, KPMG, Intel, De Heus, Ericsson, OUCRU, CIMB, VaticAI, Dizim.ai to gain valuable insights

First batch of graduates - Shaping the future of AI

During the final semesters, students in the Master of Artificial Intelligence program choose projects or research topics that showcase their expertise and address pressing societal and business challenges.

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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.”
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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.”
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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.”
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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.”
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