Master of Artificial Intelligence

Master of Artificial Intelligence

Program code


Application deadlines

11 Oct 2024

RMIT Saigon South
Program code
Application deadlines


Designed for those who work in the IT industry and wish to further their career in Artificial Intelligence (AI), the Master of Artificial Intelligence provides students with a broad range of high-level computing knowledge, as well as insight into the design and implementation of AI systems, allowing them to become experts in the field. 

With AI computer systems now involved in decision-making across both the public and private sectors, AI as an industry is developing rapidly. This speed of growth will only accelerate in the future. 

RMIT is ranked among the world’s best in AI and Image Processing research by the Excellence in Research for Australia (ERA) and rated ‘above world standard’ by the Australian Research Council. Students in Vietnam will join one of the most specialised AI programs found in Australia and will learn from international experts. 

This program prepares students to apply advanced AI knowledge in a range of contexts, including professional or academic settings. Students will explore practical components of developing AI applications and platforms and understand the role that ethics and social responsibility play in the future of technology. 

Like all RMIT programs, Work Integrated Learning (WIL) is a key aspect of the Master of Artificial Intelligence. Students will undertake a WIL experience, during which knowledge and skills obtained through the courses will be applied and assessed in a real or simulated workplace setting, along with direct feedback from the industry. 

The program offers two options in the second year:  

  • Project: Alongside choosing two electives, this stream gives the student the opportunity to partake in a practical and applicable AI project over a semester, dependent on their field of interest, with industry partners
  • Research: Students will choose a specific interest for concentrated study and will be required to deliver a minor thesis. This opens pathways to more research, as well as to a PhD program

Program structure

Semester 4

Semester 5

Semester 6

Project stream:
Research stream:
  • Minor Thesis/Project (36 credit points)

Students with relevant studies in computer science, information technology, software engineering, data science, analytics or statistics will be eligible for advanced standing as follows:

Qualification level
Advanced standing
Bachelor’s degree or Graduate Certificate (Australian Qualification Framework Level 7 or equivalent) Up to 48 credit points (equivalent to four standard 12-credit courses) depending on the courses previously studied
Bachelor's degree (Honours) or Graduate Diploma or Master or PhD (Australian Qualification Framework Level 8 or higher) Up to 96 credit points (equivalent to eight standard 12-credit courses) depending on the courses previously studied

The advanced standing will be determined on a case-by-case basis.

Learning, teaching and assessment

The Master of Artificial Intelligence includes a variety of study methods, including lectures, tutorials, practical classes, studios, project work and seminars delivered through a mix of face-to-face and online systems.  

Assessments will vary by course and are designed to give students the opportunity to demonstrate their capabilities. Types of assessment include timed assessments, assignments and projects, reflective journals, assessed tutorials or presentations, and self-assessment or peer-assessment.

Expert lecturers and teaching staff will provide feedback on each assessment, allowing students to improve themselves as they progress through the program.

You are expected to develop the following Program Learning Outcomes:

Enabling Knowledge (PLO1)

You will gain skills as you apply knowledge with creativity and initiative to new situations. In doing so, you will:

  • Demonstrate mastery of a body of knowledge that includes recent developments in Artificial Intelligence, Computer Science and Information Technology
  • Understand and use appropriate and relevant, fundamental and applied Artificial Intelligence knowledge, methodologies and modern computational tools
  • Recognise and use research principles and methods applicable to Artificial Intelligence

Critical Analysis (PLO2)

You will learn to accurately and objectively examine, and critically investigate Computer Science, Information Technology (IT) and statistical concepts, evidence, theories or situations, in particular to:

  • Analyse and model complex requirements and constraints for the purpose of designing and implementing software artefacts and IT systems
  • Evaluate and compare designs of software artefacts and IT systems on the basis of organisational and user requirements
  • Bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of Artificial Intelligence problems

Problem Solving (PLO3)

Your capability to analyse complex problems and synthesise suitable solutions will be extended as you learn to:

  • Design and implement software solutions that accommodate specified requirements and constraints, based on analysis or modelling or requirements specification
  • Apply an understanding of the balance between the complexity / accuracy of the Artificial Intelligence techniques used and the timeliness of the delivery of the solution

Communication (PLO4)

You will learn to communicate effectively with a variety of audiences through a range of modes and media, in particular to:

  • Interpret abstract theoretical propositions, choose methodologies, justify conclusions and defend professional decisions to both IT and non-IT personnel via technical reports of professional standard and technical presentations

Team Work (PLO5)

You will learn to work as an effective and productive team member in a range of professional and social situations, in particular to:

  • Work effectively in different roles, to form, manage, and successfully produce outcomes from collaborative teams, whose members may have diverse cultural backgrounds and life circumstances, and differing levels of technical expertise

Responsibility (PLO6)

You will be required to accept responsibility for your own learning and make informed decisions about judging and adopting appropriate behaviour in professional and social situations. This includes accepting the responsibility for independent life-long learning and a high level of accountability. Specifically, you will learn to:

  • Effectively apply relevant standards, ethical considerations, and an understanding of legal and privacy issues to designing Artificial Intelligence software, applications and IT systems
  • Reflect on experience and improve your own future practice
  • Locate and use data and information and evaluate its quality with respect to its authority and relevance

Research and Scholarship (PLO7)

You will have technical and communication skills to design, evaluate, implement, analyse and theorise about developments that contribute to professional practice or scholarship, specifically you will have cognitive skills to:

  • Demonstrate mastery of theoretical knowledge and to reflect critically on theory and professional practice or scholarship
  • Plan and execute a substantial research-based project, capstone experience and/or piece of scholarship

RMIT provides world-class blended learning with both face-to-face and online experiences in a global network, a supportive community, and real-world skills.


The dynamism of this field means that career prospects are promising and exciting, and there is huge opportunity for growth in AI. Potential career paths include:

  • AI engineer
  • Machine learning engineer
  • Business intelligence developer
  • Research scientist 
  • Data analyst


Payments are made each semester, on a course-by-course basis.

 Standard tuition fee (16 courses)

USD (indicative)




  1. RMIT Vietnam has 3 semesters per year, in each semester you enroll in a maximum of 4 courses. The duration of programs is flexible and can be adapted on an individual basis upon enrolment.
  2. Program fees are priced and invoiced in Vietnam Dong (VND) by semester.
  3. Payment in other currencies will be converted to VND at the exchange rate on that day. Bank transfer is the preferred method of payment.
  4. The fees in USD are ONLY applicable to those international students who arrange for payment from overseas, as per Circular No. 32/2013/TT-NHNN.
  5. Tuition fees and medical insurance fees are subject to change without notice.

Family discount

  • Siblings, spouses, parents or children of a current or past student of RMIT Vietnam are eligible for a 5% discount on tuition fees

Alumni discount

  • Graduates of bachelor's, honours or master's programs at RMIT, or of any Australian universities, are eligible for a 10% discount

Workforce development initiative discount

  • As part of RMIT’s workforce development initiative, new students enrolling in 2024 for the Master of Artificial Intelligence will receive a 15% discount on tuition fees (that can be combined with a scholarship)

The discounts cannot be applied simultaneously with any other tuition fee discount or scholarship, unless otherwise stated. Please refer to our tuition fee discounts page for the full list of discounts, and terms and conditions.

Entry requirements

Applicants must have successfully completed:

  • A bachelor's degree* with a GPA of at least of 2.0 out of 4.0, in one of the following disciplines: computing, science, engineering, health or statistics; or
  • A bachelor's degree* with a GPA of at least 2.0 out of 4.0 in another discipline and; relevant completed higher education courses in programming and statistics, or a minimum of three years of current, relevant work experience or professional practice** in programming and statistics or equivalent

* The bachelor's degree must be deemed equivalent to an Australian bachelor's degree.

** These applicants will be required to submit a CV listing previous positions, dates of employment and position responsibilities; a statement from your employer confirming these details; and evidence of any relevant professional development undertaken.

Successfully completed English for University - Post Graduate Preparation, or one of the following requirements:

  • IELTS (Academic) 6.5 (no band below 6.0)
  • TOEFL Internet-Based Test 79 (minimum 13 in reading, 12 in listening, 18 in speaking and 21 in writing)
  • Pearson Test of English (Academic) 58 (no communication band below 50)
  • C1 Advanced (formerly known as Cambridge English: Advanced (CAE)) or C2 Proficiency (formerly known as Cambridge English: Proficiency (CPE)) 176 (no less than 169 in any component)
  • RMIT Bachelor degree or a postgraduate qualification within the past five years
  • A bachelor degree or a postgraduate qualification within the past five years in an English-speaking country listed here

For other recognised English entry requirements, please view English equivalency requirements.

Note: Previous study and proficiency tests are recognised for two years from the completion date or test date to the program commencement date unless stated otherwise.

Where you have achieved more than one form of English language proficiency only the most recent achievement will be considered in the admission decision.

Please contact the RMIT Vietnam Student Recruitment team for more information.

English pathways

If you haven't met the English requirements, the English For University - Post Graduate Preparation program can prepare you for success in your post-graduate course at RMIT.

Sorry, this program is not available for international students intending to study on a student visa.

If you hold a different visa type, you may be eligible. Please contact Study@RMIT for more information.