Highlights
This course covers the theory and the practical tools for data acquisition, storage, management, processing, analysis and visualisation. Ethical considerations, communication, collaboration and critical thinking skills are all given detailed coverage.
Your course progression has been carefully crafted to cater for the diversity of specialist mathematics skills, to scaffold your development in coding, particularly in data science-relevant languages, and to prepare you for a rewarding career in data science.
Data science is an ever-changing landscape and at the completion of this course, you'll be ideally positioned to move with it, having developed a set of fundamental tools and techniques, and the critical thinking to play a leading role in transforming industry.
Why choose this course?
Across the world, we are collecting unprecedented amounts of data. It's the new currency. However, simply having access to that data means very little if we're not able to derive meaningful insights from it. We need skilled data scientists to understand and interpret the data; create and communicate meaningful insights; and use the data ethically and understand its limitations.
A significant and accelerating challenge for modern business is managing fast incoming, voluminous and varied data that are increasingly being relied on to make decisions. This course includes an entire unit addressing the emerging frameworks in modern data management.
Flexible delivery
Every unit of this course has been developed to be offered in online and on-campus environments. This is a digitally enhanced course where technology is integrated into all aspects of online and on-campus teaching, learning and assessment.
You will be able to access learning resources, activities and assessment remotely. Remote learners may be required to undertake key activities at designated locations, including some invigilated assessment such as at hosted assessment centres.
You will be encouraged to become an independent learner through discussion, debate and interaction with peers and teaching staff, independent studies and self-reflection.
Learning opportunities and environments include:
Careers and outcomes
As a graduate, you will be an agile problem-solver, capable of tackling real-world problems by applying the insights gained from extracting knowledge from data. Your comprehensive knowledge of data science tools and techniques will be employed to design new solutions that drive progress and innovation, guided at all times by your appreciation of the ethical considerations concerning the use of data in decision-making.
At the completion of this course, you will be confident in the use of appropriate tools to create pipelines for data acquisition, storage, management, processing, analysis and visualisation, and possess a deep understanding of the theoretical foundations underpinning each step.
*Price shown is for indicative purposes, please check with institution
24 February 2025, 21 July 2025
Queensland University of Technology (QUT)
Gardens Point Campus & Kelvin Grove campus,
BRISBANE CITY,
Queensland,
4000, BRISBANE, Australia
Students must have a pass in Australian Year 12 or equivalent.
Entry requirements may vary from country to country.
IELTS Academic score of 6.5 with Listening, Reading, Writing and Speaking score of 6; TOEFL iBT score of 79 with Listening, reading score of 16, Writing score of 21 and Speaking score of 18; Pearson PTE (Academic) score of 58 with Listening, Reading, Writing and Speaking score of 50; Cambridge English Advanced (CAE) score of 176 with Listening, Reading, Writing and Speaking score of 169.
*There may be different IELTS requirements depending on your chosen course.
QUT is a young, research-intensive university, ranking in the top 200 universities globally (THE World University Rankings 2024).