Master of Information Technology (Data Science)
A profession-aligned master’s programme preparing graduates for leadership roles in data-driven decision-making and ICT expertise.
Best for:Best for professionals with a background in IT or related fields seeking to specialise in data science and advance into leadership roles in business analytics, data-driven decision-making, or ICT management.
Overview
The Master of Information Technology (Data Science) at the Australian International Institute of Higher Education (AIIHE) is a career-focused degree designed to equip students with advanced technical skills in data science and information technology. Tailored for aspiring ICT professionals, this programme integrates foundational IT knowledge—such as software development, database management, and project management—with specialised data science units like statistical methods, machine learning, and cloud computing. Students engage in hands-on learning through industry-aligned curriculum and a capstone project, addressing real-world challenges in data analysis and organisational decision-making. The programme aligns with global standards like the ACS and ACM-IEEE Computing Curricula, ensuring graduates are prepared for leadership roles as data analysts, ICT specialists, or senior executives.
What you'll do
- Develop advanced technical skills in data science, including data analysis, modelling, and machine learning techniques.
- Apply statistical methods and data mining to solve real-world business and organisational challenges.
- Engage in hands-on projects involving data cleansing, design, and interpretation using industry-standard tools.
- Complete a capstone project addressing contemporary issues in IT and data science, proposing solutions or recommendations.
- Integrate ethical and professional practices in IT and data science into decision-making processes.
- Collaborate with industry experts to gain practical insights and align learning with real-world industry needs.
Requirements
Degree required: A bachelor’s degree (3 years) in Australia (AQF Level 7) or an equivalent overseas qualification with a minimum GPA equivalent to 55%, OR a Graduate Certificate or Graduate Diploma in IT (or a cognate area) at AQF Level 8 or equivalent.
Degree offered: Master of Information Technology (Data Science)
Language: English proficiency (not explicitly stated but implied for academic programme).
Instruction: English
- Proven academic background in IT, computer science, or a related field.
- Basic proficiency in statistical analysis and data management tools.
- Ability to work with programming languages commonly used in data science (e.g., Python, R).
- Understanding of foundational IT concepts such as software development and database management.
- No explicit nationality or residency restrictions mentioned.
- No age limits or prior experience caps specified.
Funding & terms
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
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: unknown
Applicants should visit the official AIIHE website to access the application portal. The process typically involves submitting academic transcripts, proof of English proficiency (if applicable), a personal statement, and any additional documents specified by the university. Contact details for further assistance are available on the website.
- Academic transcripts (bachelor’s degree or equivalent)
- Proof of English proficiency (if required)
- Personal statement or statement of purpose
- Passport-sized photograph (if applicable)
- Application fee (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.