Advanced Diploma of Data Science-117542J

Advanced Diploma of Data Science

Baxter Institute (BI)

CRICOS CodeCRICOS Code:117542J
RTO CodeRTO Code:10953NAT
Course TypeCourse Type:Advanced Diploma
PrivatePrivate
Large-scaleLarge-scale
Baxter Institute (BI)
2026
  • Total Tuition Fee25,000 AUD
  • Course Duration1.0 Year (52 weeks)
  • Last Updated07-11-2025
Introduction
The qualification produces data scientists or data engineers with high level skills and knowledge to code, analyse and solve complex data related problems using computing, mathematical and statistical techniques and automate the results to enhance business intelligence.An individual in this role can analyse or develop or automate software solutions to solve complex data problems. An individual can use techniques of data collection, exploration and analysis, machine learning, statistics and mathematics and deployment 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 problem solving and business intelligence. Identify and use approaches to automate the results from predictive modelling for generating useful insights for data related problems. Use appropriate methods, tools and techniques for generating valuable insights for business optimisation.[117542J]
Course LinkCourse Link:https://baxter.vic.edu.au/international/courses/data-science/advanced-diploma-of-data-science
IELTS Score
PTE Score
2026 year(s)
Listening
6.0
Speaking
6.0
Reading
6.0
Writing
6.0
Overall
6.0

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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.

ClassificationCertificate Classification

  • Scheme

    ANZSCO Identifier

  • Reference Id

    261311

  • Certificate Classification

    Analyst Programmer

  • Scheme

    ASCED Qualification/Course Field of Education Identifier

  • Reference Id

    0201

  • Certificate Classification

    Computer Science

  • Scheme

    Qualification/Course Level of Education Identifier

  • Reference Id

    411

  • Certificate Classification

    Advanced Diploma

  • Scheme

    Nationally Recognised Training Type

  • Reference Id

    12

  • Certificate Classification

    Course

DescriptionsCertificate Qualification

The qualification produces data scientists or data engineers with high level skills and knowledge to code, analyse and solve complex data related problems using computing, mathematical and statistical techniques and automate the results to enhance business intelligence.

An individual in this role can analyse or develop or automate software solutions to solve complex data problems. An individual can use techniques of data collection, exploration and analysis, machine learning, statistics and mathematics and deployment 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 problem solving and business intelligence.

* Identify and use approaches to automate the results from predictive modelling for generating useful insights for data related problems.

* Use appropriate methods, tools and techniques for generating valuable insights for business optimisation.

VIC
Campus:Langford street Campus - 72-92 Langford St Campus
Address:72-92 Langford St, NORTH MELBOURNE, VIC 3051
Postcode:3051
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