The qualification produces data scientists or analysts with high level skills and knowledge to code, analyse and solve complex data related problems using computing, mathematical and statistical techniques. An individual in this role can analyse or develop software solutions to solve complex data problems.The intended vocational outcomes for the Diploma of Data Science course include: Data Analyst Data Scientist. The qualification produces data scientists or analysts with high level skills and knowledge to code, analyse and solve complex data related problems using computing, mathematical and statistical techniques. An individual in this role can analyse or develop software solutions to solve complex data problems. An individual can use techniques of data collection, exploration and analysis, machine learning, statistics and mathematics in data related problem solving and generate useful insights. Specialist functions and Skills Additionally, graduates of the course will be able to perform the following functions and specialist tasks: Develop and apply knowledge in a broad range of methods based on statistics and computing and use these for analysis and problem solving Identify approaches to solve specific problems using data, making sense out of data and automating the process of decision making. Use appropriate methods, tools and techniques for data collection and analysis.
Briefing on School-Arranged Interview (if applicable)
Submit application materials, including transcripts, passport, and English proficiency proof, to the State Department of Education.
School review: The Department of Education recommends schools based on the student's situation, and the school arranges an interview after its review.
Interview notification: An email will specify the interview time, method (usually Zoom or Teams), and preparation details.
Interview content: A conversation in English including self-introduction, interests, academic situation, future plans, and a comprehensive assessment of learning habits, adaptability, reasons for coming to Australia, etc. The duration is approximately 15-30 minutes.
3
Submit School Application
Submit the application through the school's official website or an agent's portal and pay the application fee (if any).
Submit supplementary documents as required and track the admission progress (Conditional/Unconditional Offer).
After meeting the conditions, pay the tuition deposit and complete the acceptance procedure (Accept Offer).
4
Obtain CoE and Arrange OSHC
The school issues the CoE (Confirmation of Enrolment).
Purchase/confirm OSHC to cover the entire visa period (including dependents, if any).
5
Visa Document Preparation (Subclass 500)
Organize documents for finances, GTE, English proficiency, and medical examination, ensuring consistency with the chosen course.
Check the letterheads, dates, translation formats, and certification requirements of visa documents.
Language Requirements
IELTS Score
PTE Score
2026 year(s)
Listening
6.0
Speaking
6.0
Reading
6.0
Writing
6.0
Overall
6.0
School Level
The school's visa assessment level determines the risk level for students applying for a visa and is a significant reference.
For example, if a school's visa assessment level is 2, the applicant will face more restrictions and be required to provide more written evidence, such as proof of language proficiency and financial capacity.
ASCED Qualification/Course Field of Education Identifier
Reference Id
0201
Certificate Classification
Computer Science
Scheme
Qualification/Course Level of Education Identifier
Reference Id
421
Certificate Classification
Diploma
Scheme
Nationally Recognised Training Type
Reference Id
12
Certificate Classification
Course
Certificate Qualification
The intended vocational outcomes for the Diploma of Data Science course include:
* Data Analyst
* Data Scientist.
The qualification produces data scientists or analysts with high level skills and knowledge to code, analyse and solve complex data related problems using computing, mathematical and statistical techniques.
An individual in this role can analyse or develop software solutions to solve complex data problems. An individual can use techniques of data collection, exploration and analysis, machine learning, statistics and mathematics in data related problem solving and generate useful insights.
Specialist functions and Skills
Additionally, graduates of the course will be able to perform the following functions and specialist tasks:
* Develop and apply knowledge in a broad range of methods based on statistics and computing and use these for analysis and problem solving
* Identify approaches to solve specific problems using data, making sense out of data and automating the process of decision making.
* Use appropriate methods, tools and techniques for data collection and analysis.
Course Campuses
VIC
Campus:Langford street Campus - 72-92 Langford St Campus
Address:72-92 Langford St, NORTH MELBOURNE, VIC 3051