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- NEW: This course now offers Commonwealth Supported Places which makes it over 60% more affordable. Eligibility criteria applies.
- Be at the cutting edge of a highly sought-after capability that can be applied across industries.
- Translate data into insight and intelligence to be able to drive change and make key decisions.
- Design the analyses of problems; produce data visualisations; develop and validate appropriate statistical and machine learning models; and incorporate analyses into solution pipelines.
- Learn from expert academics and leading researchers who apply data science and data analytics to a range of real-world challenges, and who have world-wide industry connections.
Highlights
- Be at the cutting edge of a highly sought-after capability that can be applied across industries.
- Translate data into insight and intelligence to be able to drive change and make key decisions.
- Design the analyses of problems; produce data visualisations; develop and validate appropriate statistical and machine learning models; and incorporate analyses into solution pipelines.
- Learn from expert academics and leading researchers who apply data science and data analytics to a range of real-world challenges, and who have world-wide industry connections.
Why choose this course?
Be future-focused and stay ahead of the curve. Drive real change and impact key decisions by learning how to make sense of the volume, variety and velocity of data we collect as a society.
Our academics are world leaders in research and have strong industry ties that ensure the relevance of teaching material and high-quality learning experiences for students.
When you graduate you'll emerge with professional skills in the general application of data analytics. You'll have the knowledge and experience to apply high-order thinking strategies within data-rich contexts to influence and drive high level decisions.
This course now offers Commonwealth Supported Places which makes it over 60% more affordable. Eligibility criteria applies.
Why choose this course?
Be future-focused and stay ahead of the curve. Drive real change and impact key decisions by learning how to make sense of the volume, variety and velocity of data we collect as a society.
Our academics are world leaders in research and have strong industry ties that ensure the relevance of teaching material and high-quality learning experiences for students.
When you graduate you'll emerge with professional skills in the general application of data analytics. You'll have the knowledge and experience to apply high-order thinking strategies within data-rich contexts to influence and drive high level decisions.
Real-world learning
This course is designed to specifically meet industry needs. We’ve brought together expertise in the statistics, computer science and business process management disciplines to deliver real-world learning opportunities.
Build experience that allows you to constructively apply your analytical skills to complex problem domains.
Experience applying high-order thinking strategies within data-rich contexts through the synthesis of multiple sources of information.
Explore this course
This course will prepare you for a future-focused career in the fast-paced, ever-changing world of data analytics. With a collaborative curriculum across disciplines you’ll not only learn theories and methods, but you’ll apply that knowledge to predict, forecast, visualise and make decisions in a range of applied areas.
You'll study data analytics for information professionals with an opportunity to further your knowledge in additional fields such as statistical data analysis, programming fundamentals, data manipulation or business process modelling.
Careers and outcomes
You'll graduate with professional skills in the general application of data analytics, and you’ll have the necessary knowledge to work in a range of industries.
This degree can serve as a pathway to the Master of Data Analytics where you may specialise in areas of data analytics, data systems development or data-driven decision making.
Possible careers
- Data analyst
- Data analytics specialist
- Data systems developer
- Data-driven decision maker
You must complete 48 credit points of course units, consisting of:
- 1 core unit (12 credit points)
- 36 credit points of elective units selected from an approved list.
You must complete 48 credit points of course units, consisting of:
- 1 core unit (12 credit points)
- 36 credit points of elective units selected from an approved list.
- Course code
- IN26
- CRICOS code
- 098600K
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- Gardens Point
-
- Gardens Point
- 1 - 2 years part-time
- 6 months full-time
- February and July
- If starting in February you can choose to enrol full-time and finish in 6 months
- February
Entry requirements
You must have one of:
- A recognised bachelor degree (or higher qualification) in any discipline; or
- A recognised diploma (or higher qualification) in any discipline followed by at least two years full-time (or equivalent) professional work experience as an analyst and/or in the information technology field; or
- At least five years full-time (or equivalent) professional work experience as an analyst and/or in the information technology field.
Minimum academic requirements
Entry requirement
You must have a recognised bachelor degree (or higher qualification) in any discipline.
Minimum English language requirements
Select the country where you completed your studies to see a guide on meeting QUT’s English language requirements.
Your scores and prior qualifications in English-speaking countries are considered. Approved English-speaking countries are Australia, Canada, England, Ireland, New Zealand, Scotland, United States of America and Wales.
If your country or qualification is not listed, you can still apply for this course and we will assess your eligibility.
We accept English language proficiency scores from the following tests. Tests must be taken no more than 2 years prior to the QUT course commencement.
| English Test | Overall | Listening | Reading | Writing | Speaking |
|---|---|---|---|---|---|
| PTE Academic/PTE Academic Online | 58 | 50 | 50 | 50 | 50 |
|
Cambridge English Score
You must share your results with QUT through the Candidate Results Online website. |
176 | 169 | 169 | 169 | 169 |
| IELTS Academic / IELTS Online / IELTS One Skills Retake | 6.5 | 6 | 6 | 6 | 6 |
| TOEFL iBT / Home / Paper | 79 | 16 | 16 | 21 | 18 |
Don't have the English language score you need? We can help!
We offer English language programs to improve your English and help you gain entry to this course.
When you apply for this course, we will recommend which English course you should enrol in.
Your actual fees may vary depending on which units you choose. We review fees annually, and they may be subject to increases.
2025 fees
2025: CSP fees available from September
2025 fees
2025: Available from July
2024 fees
2024: CSP $4,400 per course (48 credit points)
2024 fees
2024: $19,200 per course (48 credit points)
Student services and amenities fees
You may need to pay student services and amenities (SA) fees as part of your course costs.
HECS-HELP: loans to help you pay for your course fees
You may not have to pay anything upfront if you're eligible for a HECS-HELP loan.
You can apply for scholarships to help you with study and living costs.
QUT Real World International Scholarship
A scholarship to cover tuition fees, with eligibility based on your prior academic achievements.
- Scholarship eligibility
- Academic performance
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