GraduateComputer Science
Master of Data Science and Artificial Intelligence
RMIT University, Melbourne, VIC, Australia
About this program
The RMIT Master of Data Science and Artificial Intelligence is a conversion degree for graduates from any discipline who want a career in data science and AI. Whether their background is in business, science, engineering, health, economics or social sciences, students follow a structured pathway to build the technical, analytical and strategic capabilities to create, deploy and govern AI-enabled, data-driven solutions for industry challenges. Graduates work as data scientists, AI engineers and analytics specialists.
Cost & duration
English test scores
Verified rmit.edu.au ↗
Course structure
1 term of coursework
- Year 1 Year 2 Work-integrated learning (WIL) Learning outcomes Year 1 Year 1 Your first year gives you a solid grounding in the core concepts you'll need, such as programming fundamentals and practical data science. You'll learn the foundational concepts of AI, and gain hands-on experience in the field with real-world tools and applications. Year 2 Year 2 In your second year, you'll deepen your understanding of machine learning, as well as computing research and project preparation. You'll explore your chosen specialisation, allowing you to focus on the areas that match your goals. Work-integrated learning (WIL) Work-integrated learning (WIL) In this course you'll undertake 3 specific subjects that focus on work-integrated learning (WIL): Data Science and AI in Practice In a real or simulated industry setting, you will apply your knowledge of data analytics, machine learning, and data engineering across a full project lifecycle. Alongside technical skills, you'll develop workplace capabilities in teamwork, stakeholder engagement, agile collaboration, version control and documentation, while exploring responsible practices such as data privacy, fairness and ethical AI. This practical experience will build your confidence and prepare you for professional roles in data science and artificial intelligence. Applied Technology Project In this subject you will gain hands-on experience developing software in a project team, taking it from inception through to implementation. You will apply your technical knowledge in a corporate environment and use Agile project management and software delivery methods. As a capstone experience, the Applied Technology Project will help you bring together your learning, respond to industry feedback and build the skills and confidence to move int
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Software EngineerANZSCO 261313
On both MLTSSL and CSOL, so it supports the points-tested 189, 190, and 491 as well as the employer-sponsored 482 and 186. Needs an ACS skills assessment, which usually wants the degree plus one to two years of relevant work, or a Professional Year in ICT in place of some of that experience.
Assessed by Australian Computer Society (ACS)
Developer ProgrammerANZSCO 261312
On MLTSSL, so it supports the 189, 190, and 491. Assessed by the ACS on the same basis as Software Engineer. Also on CSOL, additionally supporting the employer-sponsored 482 and 186.
Assessed by Australian Computer Society (ACS)
ICT Business AnalystANZSCO 261111
On both MLTSSL and CSOL, so it supports 189/190/491 and the employer-sponsored 482/186. Common landing occupation for IT and business-analytics graduates.
Assessed by Australian Computer Society (ACS)
Systems AnalystANZSCO 261112
On MLTSSL, supporting the 189, 190, and 491, with an ACS skills assessment. Also on CSOL, additionally supporting the employer-sponsored 482 and 186.
Assessed by Australian Computer Society (ACS)
ICT Security SpecialistANZSCO 262112
The code used for the points-tested 189, 190, and 491 pathways. Newer cyber security specialisations (Cyber Security Engineer, Cyber Security Analyst, and others) were split out of this code in 2021 to 2025 ANZSCO updates and sit on CSOL instead; picking the right code matters for which visa applies.
Assessed by Australian Computer Society (ACS)
Cyber Security EngineerANZSCO 261315
One of the newer cyber security ANZSCO codes created alongside Penetration Tester, Cyber Security Analyst, and others. Sits on CSOL, which supports the employer-sponsored 482 and 186, but is not currently on MLTSSL or STSOL, so it does not support the points-tested 189, 190, or 491 the way ICT Security Specialist (262112) does.
Assessed by Australian Computer Society (ACS)
Computer Network and Systems EngineerANZSCO 263111
On both MLTSSL and CSOL, supporting 189/190/491 and the employer-sponsored 482/186.
Assessed by Australian Computer Society (ACS)
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
Academic requirements Successful completion of an Australian bachelor's degree (or international equivalent) in any discipline with a GPA of at least 2.0 out of 4.0; or A minimum of 5 years of relevant work experience in information security, programming (web, application, database); software engineering; system, functional or business analysis; information, system or enterprise architecture; ICT management; administration (network, systems); support (desktop, helpd
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