Master of Information Technology (Professional Computing) Specialising in Data Analytics
Why Study / Key Benefits
- The programme is designed to develop advanced theoretical and practical IT skills covering the design, construction, operation, support and maintenance of IT solutions.
- The Data Analytics specialisation focuses on storing, managing, organising and analysing data from computer systems.
- Students develop conceptual and practical knowledge of data science and its application to real-world problems.
- Students have opportunities to work collaboratively on industry-driven challenges.
- A compulsory capstone project normally undertaken in the final semester involves working with external industry clients to develop viable solutions to real-world problems.
- The qualification provides a pathway towards research and further learning.
- The programme is accredited by the Australian Computer Society (ACS) at professional level.
- Swinburne states that the course prepares graduates for advanced professional work in Information and Communication Technologies.
Programme Structure and Subjects / Topics
The programme combines core IT/professional computing studies with the Data Analytics specialisation.
Core units
The current Swinburne course page lists:
- Technology Design Project
- Unit code: COS60011
- 12.5 credit points
- User-Centred Design
- Unit code: COS70004
- 12.5 credit points
- Web Application Development
- Unit code: COS80021
- 12.5 credit points
- Technology Innovation Research and Project
- Unit code: COS70008
- 25 credit points
Data Analytics specialisation units
The current course page lists:
- Cloud Engineering
- Unit code: COS80001
- 12.5 credit points
- Big Data
- Unit code: COS80023
- 12.5 credit points
- Introduction to Data Science
- Unit code: COS60008
- 12.5 credit points
- Data Visualisation
- Unit code: COS80025
- 12.5 credit points
- Technology Application Project
- Unit code: COS80029
- 25 credit points
Disciplines / Specialisations
The Master of Information Technology (Professional Computing) currently offers four specialisation choices:
- Data Analytics
- Information Systems
- Mobile and Cloud Computing
- Software Development
The requested specialisation is Data Analytics.
The Data Analytics stream focuses particularly on:
- Data management
- Data organisation
- Data analysis
- Data science
- Big data
- Data visualisation
- Cloud engineering
- Applied technology projects
Programme Highlights
- International-student-only postgraduate programme.
- 2-year full-time structure.
- Hawthorn campus in Melbourne.
- Specialisation in Data Analytics.
- Practical and theoretical IT education.
- Focus on data science in real-world contexts.
- Big Data and Data Visualisation study.
- Cloud Engineering component.
- Industry-driven project opportunities.
- Compulsory capstone project involving industry clients.
- Technology Application Project.
- Research and project-development component.
- Australian Computer Society professional accreditation.
- Provides a pathway towards further research and learning.
- International students studying in Australia on a Student visa study full-time and on campus.
Career Outcomes
Swinburne identifies the following example career roles for graduates of the Master of Information Technology (Professional Computing):
- IT Manager
- Business Development Manager
- Database Manager
- Network Manager
For the Data Analytics specialisation, the curriculum can also provide relevant knowledge for professional areas involving:
- Data analytics
- Data science
- Big data
- Data visualisation
- Database technologies
- Cloud technologies
- IT project development
- Technology consulting
- Business and technology analysis
Latest Updates / Special Requirements
- The programme is currently listed as an international-student-only course.
- Current 2027 intakes are 1 March 2027 and 2 August 2027.
- The current CRICOS code is 061755G.
- The course is professionally accredited by the Australian Computer Society.
- A compulsory capstone project is part of the programme and normally occurs in the final semester.
- International students in Australia on a Student visa must study full-time and on campus.
- Credit transfer and RPL are assessed individually.
- The course pages currently contain inconsistencies regarding the detailed credit/unit structure. Students should obtain the current course planner and confirm their individual study plan before accepting an offer.
- 2027 tuition fees are not currently published on the programme page.
International Student Visa Requirements
The relevant visa for an international student studying this programme in Australia is generally the Australian Student visa, Subclass 500.
Course and enrolment requirements
Students intending to study this programme in Australia should:
- Receive an offer from Swinburne.
- Accept the offer and satisfy the conditions of enrolment.
- Obtain a Confirmation of Enrolment (CoE).
- Apply for the Student visa using the required documentation.
- Maintain full-time enrolment as required by Swinburne for international students on a Student visa.
- Study on campus because Swinburne states that international Student visa holders cannot undertake this course entirely online.
Genuine Student requirement
Student visa applicants are assessed under Australia's Genuine Student (GS) requirement.
Applicants are asked to explain, among other matters:
- Their current circumstances.
- Why they want to study this course in Australia with the selected education provider.
- Their understanding of the course and living/studying requirements in Australia.
- How completing the course will benefit them.
- Other relevant circumstances where applicable.


