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Computer Science and Artificial Intelligence● OpenMastersPreview

Master of Applied Artificial Intelligence (Professional)

A professional master’s programme equipping graduates to design AI-driven software solutions for industry.

Best for:Best for professionals or graduates seeking to specialise in AI software development with hands-on industry experience or research exposure.

Deakin University · Cloud (Online), Australia
More professors at Deakin University
AI software developmentMachine learning applicationsIndustry-based AI solutionsResearch projects in AI
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (depends on intake)
Full-time
Location
Cloud (Online)
Australia

Overview

The Master of Applied Artificial Intelligence (Professional) at Deakin University is designed to prepare students for careers in AI-driven industries. This programme builds on foundational AI knowledge to develop advanced skills in creating cutting-edge software solutions. Students can choose between industry-based learning or an in-depth research project under expert supervision. The curriculum is tailored to meet the growing demand for AI professionals across various sectors, ensuring graduates are industry-ready with both theoretical and practical expertise.

AI software engineeringMachine learningIndustry collaborationProfessional master’sOnline learningAI research projectsApplied AIDigital disruption

What you'll do

  • Develop cutting-edge AI software solutions for real-world industry applications.
  • Engage in industry-based learning or conduct an in-depth research project under expert supervision.
  • Apply advanced AI techniques to solve complex problems in various sectors.
  • Collaborate with industry partners to understand and address current technological challenges.
  • Gain hands-on experience in designing and implementing AI-driven systems.
  • Participate in workshops and seminars focused on emerging trends in AI.

Requirements

Degree required: A bachelor’s degree (or higher) in a related discipline OR a bachelor’s degree (or higher) in any discipline with at least two years of relevant work experience (or equivalent part-time experience).

Language: English proficiency (not explicitly stated but implied for online programme).

Instruction: English

Required skills
  • Basic understanding of AI and machine learning principles
  • Problem-solving skills applicable to AI-driven solutions
  • Ability to work collaboratively in industry or research settings
Nice to have
Prior experience in software development or AI-related fieldsFamiliarity with AI tools and frameworksInterest in emerging AI technologies and their applications
Eligibility
  • Completion of a bachelor’s degree or higher in a related field OR any discipline with relevant work experience.
  • No specific nationality or residency restrictions mentioned.

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 must submit their application through Deakin University’s official portal. Required documents typically include academic transcripts, proof of relevant work experience (if applicable), and a personal statement. Additional materials may be requested based on the chosen pathway (industry-based learning or research project).

Documents required
  • Academic transcripts (Bachelor’s degree or higher)
  • Proof of relevant work experience (if applicable)
  • Personal statement or cover letter
  • English proficiency test results (if required)
↗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.