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Data Science and Artificial Intelligence● OpenMastersPreview

Master of Data Science and Artificial Intelligence

A conversion master’s degree for non-technical graduates to build expertise in AI-driven data solutions.

Best for:Best for career changers with a bachelor’s degree in any field seeking to specialize in data science and AI without prior technical background.

RMIT University · Melbourne, Australia
More professors at RMIT University
AI-driven data solutionsData governanceResponsible AIComputational thinkingData analysisProgramming for AI
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Melbourne
Australia

Overview

This conversion master’s programme at RMIT University is designed for graduates from any discipline who wish to transition into the rapidly expanding fields of data science and artificial intelligence. The curriculum systematically builds foundational skills in programming, data analysis, computational thinking, and responsible AI use, progressing to advanced topics like data governance, AI system evaluation, and technical communication. Students develop practical, industry-relevant capabilities to address real-world challenges across sectors such as business, healthcare, and engineering. The programme emphasizes hands-on learning, ensuring graduates are job-ready for roles in AI-enabled data-driven industries.

Data Science Master’sAI Conversion ProgrammeNon-technical Career TransitionIndustry-Relevant AI SkillsData-Driven Decision MakingRMIT MelbourneBy-Coursework Master’sAI Ethics and Governance

What you'll do

  • Develop foundational programming and computational thinking skills to analyze and interpret data.
  • Learn to select and apply appropriate data analysis and AI methods for real-world challenges.
  • Evaluate AI systems for performance, fairness, and ethical considerations.
  • Communicate technical findings to diverse audiences, including non-technical stakeholders.
  • Work on industry-relevant projects to build a portfolio of AI-driven solutions.
  • Engage in hands-on learning through structured coursework and practical assignments.

Requirements

Degree required: Bachelor’s degree (or equivalent) in any discipline with a minimum GPA of 2.0 out of 4.0

Degree offered: Master of Data Science and Artificial Intelligence

Language: English proficiency (if applicable, though not explicitly stated in the source)

Instruction: English

Eligibility
  • Open to graduates from any discipline
  • Minimum GPA of 2.0 out of 4.0 for the bachelor’s degree
  • No prior technical or data science background required

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: unknown

Applicants must apply directly through RMIT University’s official postgraduate application portal. The process typically involves submitting academic transcripts, proof of English proficiency (if required), a personal statement, and any additional documents specified by RMIT. No fixed deadline is mentioned, but intakes are likely semester-based.

Documents required
  • Academic transcripts (bachelor’s degree)
  • Proof of English proficiency (if applicable)
  • Personal statement or statement of purpose
  • Passport-sized photograph (if required)
  • Application fee (if applicable)
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.