• Looking to expand your AI toolkit  
• Who has experience using AI in your role and you want to move into specialised or senior AI positions 
• Seeking to strengthen your technical skills and explore more advanced AI concepts 
• Wanting to build confidence applying advanced AI techniques to achieve business objectives 
• Looking for flexible study options that fit around your existing commitments. 

• Without formal study or work experience in IT, but have experience in roles where AI or data-driven technologies are used to improve processes, decisions or outcomes
• Who is curious about AI and wants formal training to better understand and build AI solutions
• Motivated to learn programming and mathematical reasoning, plus develop in-demand technical AI skills
• Wanting practical, hands-on projects and apply AI solutions to real-world contexts
• Who values learning alongside industry experts as you transition into a technical career. 

Does this sound like you? Find out if you meet the entry requirements.

Be equipped with essential programming and problem-solving techniques tailored to the field of Artificial Intelligence.  

Discover the fundamentals of computational efficiency and many of the classical algorithms and data structures that solve key computational questions.  

Design and implement machine learning solutions to help solve real-world challenges.

Explore fundamental concepts, methodologies and applications of artificial intelligence by applying them to solve real-world problems.  

You may be eligible if you have completed a qualification in any field, including technical or non-technical disciplines.  

Examples of related study areas include (but are not limited to):

• Artificial Intelligence, Machine Learning or Data Science
• Business, Management or Economics
• Computer Science, Engineering, or Information Technology
• Design, UX, or Creative Industries
• Health, Education or Psychology
• Law, Policy or Social Sciences
• Mathematics, Statistics or Physics.

You may also be eligible based on your professional experience. This includes roles where technical skills are applied directly, as well as roles where artificial intelligence or data-driven technologies could be used to improve processes, decision-making or outcomes. 

Examples of relevant experience may include:

• Business or operations roles
• Education roles
• Finance or administration roles
• Health or community roles
• IT, systems, or network roles
• Law or public policy roles
• Marketing or communications roles
• Research or analytical roles
• Software, data, AI, or machine learning roles.

All applicants to the University of Melbourne must satisfy the English language requirements. This may be achieved in a number of ways, including recognised previous study taught and assessed entirely in English or an approved English language test.

If you are from a non-English speaking background, the required standard of English for this degree is one of the following English proficiency test scores:

• IELTS: 6.5 (with no band less than 6.0); 
• TOEFL: 81 (with writing 19, speaking 19, reading 16, listening 16); 
• Pearson: 64 (with no communicative skill below 60); 
• Cambridge C1 Advanced: 169 (with writing 170, speaking 179, reading 163, listening 163); 
• LanguageCert Academic: 67 (with writing 64, speaking 70, reading 60, listening 57); 
• MET: 58 (with writing 57, speaking 48, reading 55, listening 56).

In ranking applications, the Selection Committee will consider:

• Prior academic performance; and, if relevant
• Professional experience.

The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.

Applicants are required to satisfy the university's English language requirements for postgraduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the Academic Board, performance band 6.5 is required. In considering students under special entry access schemes, the Selection Committee will consider aspects of disadvantage as set out from time to time in the University of Melbourne Graduate Access policy, evidence of rurality for rural applicants, and confirmation of Aboriginality for Indigenous applicants.