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100% online Graduate Certificate

Graduate Certificate in Data Science

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Start Date

6 months full-time or part-time equivalent

Duration

AUD $ 4,500

Includes 70% off with CSP subsidy.
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Domestic Student

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Entry Criteria

*Limited Commonwealth Supported Places (CSPs) available for domestic students only. Annual fees are subject to change and are dependent on selected units. For more information on CSPs, see below.

Course overview

Drive organisational transformation through sophisticated and insightful data analytics

The Graduate Certificate in Data Science gives you the skills to turn data into insight and make decisions that drive organisational impact. Designed for professionals looking to enter or pivot into the data science field, this course covers core topics such as data mining, modelling and visualisation, helping you clearly communicate insights.

You will gain hands-on experience with industry tools like SQL, Tableau and Jupyter Notebook, building practical skills that make you job-ready by graduation.

Delivered in a fully online context over six months, this course offers flexible entry pathways and prepares you for roles in data analysis and decision support. Graduates can also continue into the Master of Information Technology with credit for completed units, giving them the opportunity to advance their career further.

Learn more about the Graduate Certificate in Data Science with QUT Online.

Course units

You must complete a total of 48 credit points. 

The following core and option units have been proposed for 2026 and are subject to final approval (mid-October 2025). Please reach out to the Course Consultants if you have any questions at 1300 104 196.

Introduction to Data Science

12 credit points

Choose one of the following

Programming Fundamentals

12 credit points

Rapid Web Development with Databases

12 credit points

Choose one of the following

Data Analytics for Strategic Decision-Makers

12 credit points

Introduction to Statistics for Data Science

12 credit points

Choose one of the following

Machine Learning

12 credit points

Programming Fundamentals

12 credit points

Rapid Web Development with Databases

12 credit points

Systems Innovation and Design

12 credit points

Entry requirements

You can gain entry into the Graduate Certificate in Data Science with the following:

6-month program

  • A completed bachelor's degree (or higher qualification) in any discipline

or

  • A completed diploma (or higher qualification) in any discipline, with at least two years (full-time or equivalent) professional experience in biomedicine, information technology or mathematics and equivalent disciplines

or

  • Five years (full-time or equivalent) professional experience in biomedicine, information technology or mathematics and equivalent areas

Advanced standing

Students who successfully complete his award with a GPA of 4 or above (on a 7 point scale) are able to gain entry into the Master of Information Technology with advanced standing for units completed.

Course outcomes

You will produce evidence-based visualisations of data to inform leadership decisions and organisational initiatives. You will also demonstrate advanced ICT strategies to analyse business practices and system functionality to optimise business performance. The analytical skills you develop will help you evaluate business practices and investment strategies to solve complex problems in business improvement projects. Graduates of this course have the ability to analyse and interpret complex data sets to produce clear, evidence-based conclusions that support organisational decision-making and optimise business performance. Through hands-on and practical learning, you will also build ethical judgment, preparing you to contribute meaningfully to data-informed projects.

Skills and tools in this course

  • Data visualisation
  • Reflect on social and ethical data science issues, including how these relate to Aboriginal and Torres Strait Islanders
  • Business analysis expertise
  • Employ appropriate data science methods to derive insights from data
  • Data-driven decision-making
  • Communicate professionally in oral and written form
Visual Studio
Microsoft Azure
Jupyter Notebook
Anaconda
R and RStudio

Visual Studio

Visual Studio is an integrated development environment (IDE) from Microsoft used to create powerful and scalable applications, programs and websites. It allows you to use almost any programming language to edit code, create designs and debug applications on your preferred platforms and devices. Join the millions of developers worldwide using Visual Studio’s flexible and collaborative features.

Microsoft Azure

Microsoft Azure is a public cloud platform that is used for virtual computing, analytics, storage, networking and much more. Azure is comprised of more than 200 products and cloud services, and is fast becoming a central platform for industries to innovate their technological capabilities, including healthcare, financial services and banking, manufacturing, gaming, retail and government.

Jupyter Notebook

Jupyter Notebook is a web-based interactive development environment for notebooks, code and data. It has a flexible interface that allows you to configure and arrange workflows in data science, scientific computing, computational journalism and machine learning. Jupyter Notebooks is used by large companies such as Trivago, Delivery Hero and Yelp.

Anaconda

Anaconda is a distribution of the Python and R programming languages for data science and machine learning that simplifies package management and deployment. With thousands of open-source packages and libraries, it is very popular among modern programmers.

R and RStudio

R is an open-source software program used for statistical analysis. You can use R to write a program and run the code independently of any other computer program. RStudio, used alongside R, is an open-source integrated development environment. It allows you to clearly see graphs, data tables, R code and output. Both R and RStudio offer advanced statistical methods and algorithms.

Potential career opportunities

Business analyst

Analyse and evaluate existing business practices, and develop ICT-centric insights that lead to innovative solutions and business optimisation.

  • Average Salary

    $115,000

  • Industry Job Satisfaction of

    4/5

  • Industry Growth

    +23.2%

    Projected job growth in next 5 years

, 2026

Technical business analyst

Support business transformation in a cross-functional role that involves administrative duties, data analytics, and overseeing the implementation of new ICT projects and processes. As a technical business analyst, you will use your coding experience to solve business-related issues.

  • Average Salary

    $133,000

  • Industry Job Satisfaction of

    4/5

  • Industry Growth

    +12.9%

    Projected job growth in next 5 years

, 2026

Actuary

Analyse complex data within a business context, perform actuarial calculations and visualise data through financial modelling.

  • Average Salary

    $93,000

  • Industry Job Satisfaction of

    5/5

  • Industry Growth

    +11%

    Projected job growth in next 5 years

, 2026

Data analyst

Analyse and interpret data to help organisations make informed business decisions.

  • Average Salary

    $100,000

  • Industry Job Satisfaction of

    4/5

  • Industry Growth

    +23.2%

    Projected job growth in next 5 years

, 2026

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What our students say

I chose to study at a postgraduate level online due to flexibility. Studying online has given me the ability to live on the Sunshine Coast without the commute to Brisbane, giving me more time to focus on studying and working part-time. I love the option to study on the beach!
Tayla, Graduate Certificate in Information Technology

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Frequently asked questions

There is no professional board for data analytics. There are general IT professional bodies, such as the Australian Computer Society, and this board provides guidelines on education standards in IT. QUT aligns all of their courses with the Australian Computer Society. We are also an internationally recognised university with equally recognised academics.

Yes, in this course you will develop a greater understanding of problem-solving, abstraction, design, teamwork concepts and issues through ACS’s Core Body of ICT Knowledge (CBoK).

Yes, CSPs are available for all Information Technology courses, including bootcamps. CSPs allow domestic students to have a significant portion of their university or higher education fees subsidised by the Australian government.

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If you’re not ready to apply or want to know more before you submit your application, you can request more information by calling us on 1300 104 196 or by completing our enquiry form.

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