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Computer Science and Artificial Intelligence● OpenMastersPreview

Master of Artificial Intelligence and Machine Learning

A cutting-edge master’s programme at Adelaide University to master AI/ML tools, ethics, and industry applications.

Best for:Best for computer science graduates or professionals seeking to specialise in AI/ML with hands-on industry experience and ethical considerations.

University of Adelaide · Adelaide, Australia
More professors at University of Adelaide
Artificial IntelligenceMachine LearningComputational Tools and TechnologiesIndustry-Academia CollaborationEthical AIData-Driven Problem Solving
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Adelaide
Australia

Overview

The Master of Artificial Intelligence and Machine Learning at the University of Adelaide is a specialised degree designed to equip students with advanced technical and ethical expertise in AI and machine learning. This programme focuses on hands-on experience with state-of-the-art tools and technologies, enabling students to tackle real-world challenges through collaborative projects with industry partners. Graduates will be prepared to lead innovation across diverse sectors, including healthcare, finance, and technology, while addressing the ethical complexities of AI. The curriculum integrates computational skills with critical thinking to foster responsible and impactful technological solutions.

AI Master'sMachine Learning SpecialisationIndustry PartnershipsEthical AIData ScienceComputational ToolsAdelaide UniversityCoursework Master's

What you'll do

  • Develop advanced technical skills in artificial intelligence and machine learning using cutting-edge tools and technologies.
  • Engage in hands-on projects addressing real-world challenges through collaboration with industry partners.
  • Explore and apply ethical considerations in AI development and deployment.
  • Build critical thinking and problem-solving abilities to navigate complex technological and societal issues.
  • Participate in coursework and projects that bridge theoretical knowledge with practical applications.
  • Graduate with a strong foundation to influence and lead in diverse sectors, including healthcare, finance, and technology.

Requirements

Degree required: A completed bachelor’s degree (AQF level 7) or bachelor’s honours degree (AQF level 8) in computer science, computer systems engineering, software engineering, or an equivalent qualification from a recognised institution. Alternatively, a completed graduate certificate (AQF level 8) or higher in computer science from a recognised institution.

Degree offered: Master of Artificial Intelligence and Machine Learning

Language: English proficiency (not explicitly stated but implied for international students)

Instruction: English

Required skills
  • Proven academic background in computer science or related fields
  • Strong foundational knowledge in programming and computational problem-solving
Nice to have
Experience with AI/ML tools and frameworksBackground in data analysis or software engineeringInterest in ethical considerations and societal impacts of technology
Eligibility
  • Applicants must meet minimum entry requirements for admission.
  • Admission is competitive if there are more eligible applicants than available places.

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

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 should visit the University of Adelaide’s official application portal to submit their application. Ensure all required documents are prepared and submitted through the designated online form.

Documents required
  • CV or resume
  • Academic transcripts (bachelor’s degree or equivalent)
  • Proof of English proficiency (if applicable)
  • Statement of purpose or research proposal (if required)
  • Letters of recommendation (if required)
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.