Information session and workshops: Master of Artificial Intelligence

Event highlights

  • Learn about the Master of Artificial Intelligence program, including entry requirements, scholarships and financial opportunities
  • Join program lecturers in two exclusive workshops to experience a real Master's classroom
  • Explore diverse study options at RMIT Vietnam and Melbourne
  • Meet one-on-one with Program Manager, lecturers and professional program advisors

Financial opportunities

  • 20% tuition fee reduction for all students enrolling in 2025, who have achieved an overall average of 3.0/4.0 (75%) during your Bachelor's program*
  • 50% scholarships if you successfuly apply and meet the criteria

* Eligibility subject to program entry requirements

Notes

  • Presentations will be in English.
  • Workshops operate on a first-come, first-served basis on the day of the event and are designed for participants with a technical background.
  • The event will be filmed and photographed for media purposes. If you prefer not to be included, please inform the organisers upon your arrival

Perks for attendees

  • Application fee waiver for attendees
  • Exclusive gifts for successful deposits

Workshop sneak peek

Experience a taste of the Master's classroom with workshops run by our lecturers. 

Expand all sections

Join us as we explore how AI interprets human emotions through sentiment analysis. Gain insights into Natural Language Processing techniques and observe live demonstrations of real-world applications in marketing, finance and social media. Whether you're new to AI or seeking to deepen your knowledge, this workshop will enhance your understanding of sentiment analysis in decision-making.

As Artificial Intelligence advances rapidly, the ability to translate research outputs into practical solutions has become vital for AI professionals. Learn this skill in our workshop, using a highly cited paper on deep learning models, complete with accompanying data and code. This workshop will guide you through analysis, development and implementation of a model tailored for real-world applications. You’ll emerge with a deeper understanding on how to bridge theory and practice, allowing you to excel in AI research and thrive in industry settings.

Register to join

Meet our presenters

Associate Professor Minh Dinh

Deputy Dean for Research & Innovation, School of Science, Engineering & Technology, RMIT Vietnam. He holds a Ph.D. in Computer Science from Australia. His expertise areas include High Performance Computing, Computational Science, Artificial Intelligence and Machine Learning.

Dr. Thuy Nguyen

Senior Lecturer, Artificial Intelligence. She holds a Ph.D. from Austria. With 15+ years in teaching and research in Computer Science and AI, she has authored 70+ 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 Ph.D. 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.

About the Master of Artificial Intelligence

Two postgraduate students, one male, one female, holding laptops and chatting in front of cables.

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 123 globally and 10 in Australia by the QS World University Rankings 2025

Excellence in research

RMIT is ranked above world standard in Artificial Intelligence research by Excellence in Research for Australia*.

Professional recognition

The Master of Artificial Intelligence program is conditionally provisionally accredited at the professional level by the Australian Computer Society (ACS)**.

Industry connections

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

*Excellence in Research for Australia reports are run by the Australian Research Council, part of the Australian government.

**The ACS is a signatory of the Seoul Accord, which accredits tertiary-level computing and IT qualifications globally. By joining ACS, graduates connect with over 47,000 members from Australia's tech community, boosting their chances of finding international employment.

Our first batch of graduates - Shaping the future of AI

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

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

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 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.”
Oliver Harold Joergensen, PhD Candidate

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 Hoang Khang, Data Scientist, Rackspace Technology

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.”
Phan Quoc Hung, PhD Candidate

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.”