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Artificial Intelligence● OpenMastersPreview

Master of Information Technology (Artificial Intelligence)

A coursework-based master’s programme developing socially responsible AI specialists for diverse industries.

Best for:Best for professionals or graduates with a background in computing or related fields seeking to specialise in AI with a focus on ethical and socially responsible applications.

ASA Institute of Higher Education · Sydney, Australia
More professors at ASA Institute of Higher Education
Machine LearningAI EthicsData ScienceComputational IntelligenceIndustry Applications of AI
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
unknown
Location
Sydney
Australia

Overview

The Master of Information Technology (Artificial Intelligence) at ASA Institute of Higher Education is a coursework-based programme designed to cultivate AI specialists who are both technically proficient and socially responsible. Located in Sydney, Australia, this degree aims to prepare graduates for roles across various sectors by blending technical expertise with ethical considerations. The curriculum focuses on practical applications of AI, ensuring students are well-equipped to address real-world challenges. This programme is ideal for professionals seeking to advance their careers in AI-driven industries or transition into specialised AI roles.

AI SpecialisationCoursework Master'sEthical AITechnical AI SkillsIndustry-Relevant AISydney AI EducationComputing and Information TechnologySocially Responsible AI

What you'll do

  • Develop and implement AI solutions for real-world industry challenges.
  • Engage in coursework-based learning focused on AI theory and practical applications.
  • Explore ethical considerations and responsible AI practices in technology development.
  • Collaborate on projects that bridge technical expertise with societal impact.
  • Apply AI techniques to solve complex problems across diverse sectors.

Requirements

Degree required: Bachelor's degree in a relevant field such as Computer Science, Information Technology, or related disciplines (admission requirements must be confirmed directly with the school).

Language: English proficiency (requirements must be confirmed directly with the school).

Instruction: English

Required skills
  • Basic proficiency in programming languages such as Python or Java.
  • Understanding of fundamental concepts in computer science or information technology.
Nice to have
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).Background in data analysis or statistics.
Eligibility
  • Admission requirements must be confirmed directly with ASA Institute of Higher Education.
  • No specific nationality or residency restrictions mentioned.

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
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
Not confirmed by the source
Prerequisites
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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 contact the school directly for detailed admission requirements and application procedures. The application process typically involves submitting an application form and relevant academic documents.

Documents required
  • Application form
  • Academic transcripts
  • Proof of English proficiency (if applicable)
  • Statement of purpose or personal statement
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.