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Computing and Information Technology● OpenMastersPreview

Master of Applied Artificial Intelligence

Acquire specialised skills in artificial intelligence, deep learning, and intelligent software engineering.

Best for:Best for students and professionals seeking specialized technical expertise in artificial intelligence and software design.

Deakin University · Cloud(online), Australia · R1 · First-stage researcher
More professors at Deakin University
artificial intelligencedeep learningreinforcement learningcomputer visionspeech processingrobotics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible
Location
Cloud(online)
Australia

Overview

The Master of Applied Artificial Intelligence at Deakin University offers a comprehensive curriculum designed to prepare students for impactful careers in the rapidly growing field of AI. Delivered through the Faculty of Science, Engineering and Built Environment, the programme equips learners with expertise in deep learning, reinforcement learning, computer vision, and speech processing. Students engage in practical, hands-on learning within fully equipped labs utilizing state-of-the-art software, robotics, and cyber-physical systems. Graduates emerge as globally in-demand professionals capable of driving digital disruption and designing innovative AI-driven software solutions.

applied artificial intelligencemachine learningsoftware developmentcyber-physical systemsvirtual realitydeep learning

What you'll do

  • Design and develop advanced software solutions leveraging artificial intelligence technologies
  • Implement deep learning and reinforcement learning algorithms for complex problem solving
  • Explore computer vision and speech processing applications across diverse industrial sectors
  • Utilize modern robotics, virtual reality, and cyber-physical systems in practical lab environments
  • Engage with real-world scenarios through immersive and project-based learning experiences

Requirements

Degree required: Bachelor degree or higher in any discipline (varying credit points apply based on prior qualifications and experience)

Degree offered: Master Degree (By Coursework)

Language: English

Instruction: English

Required skills
  • Completion of qualifying prior education such as a bachelor degree or relevant graduate diploma
  • Foundational background in mathematics, computing, or a related discipline for accelerated pathways
  • Aptitude for programming and software solution design
Nice to have
Prior academic or professional experience in a related technical disciplineRelevant work experience in technology or engineering fields
Eligibility
  • Meeting entry requirements through completion of a bachelor degree, honours degree, or graduate certificate in a related or general discipline, alongside relevant work experience where applicable.

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

Interested applicants should review the specific entry pathway requirements based on their prior academic background and work experience. Applications can be submitted directly through the official university portal using the provided application link.

Documents required
  • Academic transcripts
  • Proof of prior degree completion
  • Curriculum vitae
↗Check programme and admissions

Contact

Lab
Faculty of Science, Engineering and Built Environment
Deakin University
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.