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.
Fees & duration
English test scores
Verified rmit.edu.au ↗
Course structure
- 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
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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