Send me a PDF copyIn this course you will
- Gain expertise in a highly sought-after capability applicable across various industries, including translating data into insights and intelligence to drive change and make crucial decisions.
- Learn how to design problem analyses, generate data visualisations, develop and validate appropriate statistical and machine learning models, and incorporate analyses into solution pipelines.
- Access expert academics and leading researchers who apply data science and data analytics to real-world challenges and have strong industry connections worldwide.
In this course you will
- Gain expertise in a highly sought-after capability applicable across various industries, including translating data into insights and intelligence to drive change and make crucial decisions.
- Learn how to design problem analyses, generate data visualisations, develop and validate appropriate statistical and machine learning models, and incorporate analyses into solution pipelines.
- Access expert academics and leading researchers who apply data science and data analytics to real-world challenges and have strong industry connections worldwide.
Why choose this course?
When you choose our Graduate Certificate in Data Science course, you'll be setting yourself up for success in the dynamic and rapidly growing field of data science. Our curriculum is designed to equip you with the essential knowledge and skills to excel in this competitive industry. By choosing this course, you are investing in a solid foundation that will prepare you for a fulfilling career or further postgraduate studies in data science.
Here are just a few reasons why this course is the perfect choice for you:
Comprehensive learning outcomes
Our course covers a wide range of learning outcomes, including demonstrating general knowledge of data science principles, employing appropriate data science methods, applying problem-solving approaches, working independently and collaboratively in teams, communicating professionally, appraising personal values and performance, and reflecting on social and ethical data science issues.
Practical application
You'll have the opportunity to apply what you learn to real-world scenarios, enabling you to derive insights from data to support decision-making and to design and execute data science solutions.
Professional development
Our course will help you develop technical skills and appraise your personal values, attitudes, and performance in your continuing professional development.
Emphasis on collaboration and communication
You'll gain experience in working both independently and collaboratively in teams, as well as communicating professionally in oral and written form for diverse purposes and audiences.
Ethical considerations
You will have the chance to reflect on social and ethical data science issues, including how these relate to First Nations Australians, giving you a well-rounded understanding of the ethical implications of data science.
Real-world learning
This course is specifically designed to meet industry needs. It combines expertise in statistics, computer science, and business process management to provide real-world learning opportunities.
Gain experience applying your analytical skills to complex problem domains and applying high-order thinking strategies within data-rich contexts through synthesising 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. Its collaborative curriculum across disciplines will teach theories and methods and allow you to apply that knowledge to predict, forecast, visualise, and make decisions in various applied areas.
You'll be introduced to the foundations of data science and analytics and have the opportunity to further your knowledge in additional fields such as statistics for data science, machine learning, programming, rapid web development, and data analytics for strategic decision makers.
Careers and outcomes
After completing the program, you will have the professional skills to apply data science in a wide range of industries. This certificate can serve as a stepping stone to the Master of Data Science, where you can focus on data analytics, data systems development, or data-driven decision-making.
Possible careers
- Data analyst
- Data scientist
- Data systems developer
- Data-driven decision maker
To graduate with a Graduate Certificate of Data Science students are required to complete 48 credit points of course units comprising:
- 12 credit points of a core unit
- 36 credit points of elective units
To graduate with a Graduate Certificate of Data Science students are required to complete 48 credit points of course units comprising:
- 12 credit points of a core unit
- 36 credit points of elective units
- Course code
- IN30
- CRICOS code
- 116755D
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- Gardens Point
-
- Gardens Point
- 1 years full-time
- 0.5 years part-time
- 1 years full-time
- February and July
- July entry allows for part-time study only.
- 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 in the fields of biomedicine, information technology, or mathematics; or
- At least five years full-time (or equivalent) professional work experience in the fields of biomedicine, information technology, or mathematics.
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 undertaken in a secure test centre. Tests must be taken no more than 2 years prior to the QUT course commencement.
| English Test | Overall | Listening | Reading | Writing | Speaking |
|---|---|---|---|---|---|
| IELTS Academic / IELTS One Skills Retake | 6.5 | 6 | 6 | 6 | 6 |
|
Cambridge English Score
You must share your results with QUT through the Candidate Results Online website. |
176 | 169 | 169 | 169 | 169 |
| PTE Academic | 58 | 50 | 50 | 50 | 50 |
| TOEFL iBT / 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 $4,400 per year full-time (48 credit points)
2025 fees
2025: $21,200 per year full-time (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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