Why Study / Key Benefits

• The Master of Information Technology is designed to develop advanced theoretical and practical skills for designing, constructing, operating, supporting and maintaining IT solutions.
• The Data Analytics specialisation focuses on storing, managing, organising and analysing data from a variety of computer systems.
• Students develop conceptual and practical understanding of data science in real-world applications and have opportunities to work in teams on industry-driven challenges.
• The programme includes a capstone project in which students work with external industry clients or organisations to develop solutions to real-world problems.
• Students achieving a Credit average can have the option of undertaking a credited 12-week professional master's internship, subject to the applicable requirements.
• The qualification is professionally accredited by the Australian Computer Society (ACS).
• Swinburne currently identifies university-level indicators including a Top 150 position in the US News Best Global Universities 2025–2026 ranking, #6 in Australia for Artificial Intelligence and #1 in Australia for Computer Science and Engineering in ARWU 2025. These are university-level indicators and are not guarantees of individual employment outcomes. 

Programme Structure and Subjects/Topics

The Master of Information Technology consists of 14 units and 200 credit points.

The programme's common IT core includes:

• Creating Web Applications – COS60004
• Data Management for the Big Data Age – COS60009
• User-Centred Design – COS70004
• Technology Design Project – COS60011
• Programming Principles and Practices – COS60018
• Technology Innovation Research and Project – COS70008

The Data Analytics specialisation comprises:

• Cloud Engineering – COS80001 – 12.5 credit points
• Big Data – COS80023 – 12.5 credit points
• Introduction to Data Science – COS60008 – 12.5 credit points
• Data Visualisation – COS80025 – 12.5 credit points
• Technology Application Project – COS80029 – 25 credit points

The master's structure also includes two elective units totalling 25 credit points. Current elective choices include areas such as:

• Introduction to Data Science
• Advanced Software Development
• Internet Security
• Software Quality and Testing
• Data Visualisation
• Machine Learning
• Networks and Cybersecurity Frameworks
• Cyber Ethics
• Cyber Security Fundamentals and Practices
• Advanced Business Analysis
• Business Analysis and Consulting Practices

Disciplines/Specialisations

The Master of Information Technology currently provides four specialisation choices:

• Data Analytics
• Information Systems
• Mobile and Cloud Computing
• Software Development

The requested Data Analytics specialisation focuses on:

• Data storage and management
• Data organisation
• Data analysis
• Data science
• Big data
• Data visualisation
• Cloud engineering
• Applied technology projects
• Industry-focused problem solving.

Programme Highlights

• 2-year postgraduate master's qualification.
• 200 credit points.
• Hawthorn campus in Melbourne.
• CRICOS code 001742J.
• Data Analytics specialisation.
• Australian Computer Society professional accreditation.
• Practical focus on data management, data science, big data, visualisation and cloud engineering.
• Industry-connected capstone project.
• Optional credited 12-week professional master's internship for eligible students achieving a Credit average.
• Two elective units allow students to broaden their IT knowledge.
• Advanced Standing may reduce the time required for eligible students.

Career Outcomes

The Data Analytics specialisation provides preparation for professional work involving data, IT systems and technology solutions.

Potential career directions include:

• Data analyst
• Data scientist
• Data engineer
• Data architect
• Business intelligence roles
• Data infrastructure roles
• Business analyst
• Technology/data consultant
• Machine-learning-related roles

Latest Updates / Special Requirements

• Current course: Master of Information Technology specialising in Data Analytics.
• Course code: MA-IT1.
• CRICOS: 001742J.
• Current standard duration: 2 years full-time.
• Current campus: Hawthorn.
• 2027 starts: 1 March and 2 August.
• 2027 application deadlines: 24 February and 28 July respectively.
• International Student visa holders in Australia must study full-time and on campus.
• Students with relevant previous qualifications may receive Advanced Standing.
• Credit transfer/RPL is assessed on a case-by-case basis.
• All students undertake a capstone Technology Application Project as part of the master's structure.
• ACS professional accreditation applies to the Master of Information Technology.
• Exact India-specific academic equivalency: Not publicly specified – please confirm with IPU.

International Student Visa Requirements

International students travelling to Australia to study this CRICOS-registered master's programme will generally require an Australian Student visa (subclass 500).

Key requirements include:

• A valid Confirmation of Enrolment (CoE).
• Enrolment in the registered full-time course.
• Compliance with the Genuine Student requirement.
• Overseas Student Health Cover (OSHC).
• Meeting applicable health and character requirements.
• Demonstrating financial capacity where required.
• Compliance with all Student visa conditions.