Our academics are world leaders in research and have strong industry ties that ensures the relevance of teaching material and high-quality learning experiences for students. This course now offers Commonwealth Supported Places which makes it over 60% more affordable. Eligibility criteria applies.
DurationHighlights
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 booming new field of expertise that can be applied across industries.
Translate data into insight and intelligence to be able to drive change and make key decisions.
Solve domain-relevant problems by synthesising knowledge from mathematics, statistics, computer science, information systems and business process management.
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 ensures the relevance of teaching material and high-quality learning experiences for students. This course now offers Commonwealth Supported Places which makes it over 60% more affordable. Eligibility criteria applies.
Real-world learning
This course is designed to specifically meet industry needs. We’ve brought together expertise in statistics, computer science, and business process management disciplines to deliver real-world learning opportunities.
You'll:
build significant project-based 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
apply specialist abstraction and synthesis techniques to solve complex data analytics problems that are inspired by real-world scenarios.
What To Expect
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 will study specialist units in advanced statistical data analysis, data mining techniques and applications, data manipulation, analytics for information professionals and advanced stochastic modelling.
You can choose from three majors, plus a "No Major" option for this course:
Biomedical Data Science
Biology and medicine are becoming increasingly data-intensive in research and clinical practice. From new sequencing technologies to medical imaging and electronic health records, to wearable devices recording heart rate, it has never been easier or cheaper to generate biomedical data.
Yet these datasets may be large and complex, and the observations noisy. This interdisciplinary major provides the skills you need to 'wrangle' and analyse biomedical data.
You will learn statistical and machine learning methods, and use them to identify relationships and gain insight into function and disease states, while gaining some understanding of their limitations and the complexity of the problems which arise.
Computational Data Science
The world is awash in data and it's growing at a mammoth pace. Over 2.5 million trillion bytes of data are generated every day. In every minute Uber has 45,000 trips; 456,000 tweets are sent; and 3.6 million Google searches occur. NASA alone generates 121 terabytes of data every single day.
This major will equip you with the knowledge and skills to bring order to the chaos on terabytes of data and extract meaning. You'll be confident in searching for hidden models, training intelligent systems, creating visualizations, identifying patterns and trends, and discovering solutions and opportunities.
You'll undertake data analysis and research across domains, with the focus on the development and application of computational methods which scale as the number of records increases.
Statistical Data Science
In this digital and data-rich era, the demand for statistical experts is high, yet the pool of such graduates is small. The recent growth of data science has increased the awareness of the importance of statistics, with the analysis of data and interpretation of the results firmly embedded within this newly recognised field.
This major provides advanced training in statistics, together with complementary skills in programming and data extraction and mining. This combination gives you the background and experience to gather and evaluate data-based evidence to support informed decision-making, and to advise on the robustness and the uncertainty of the conclusions drawn.
Careers and outcomes
When you graduate, you’ll be able to apply different approaches, techniques and tools to data in different industry contexts to solve complex problems.
You'll have the skills necessary to transform data into knowledge for any industry, including banking and finance, media and communications, health, education, information technology, engineering, agriculture and mining.
Early exit
Early exit option with the IN26 Graduate Certificate in Data Analytics upon completion of the required units.
Possible careers
Data analyst
Data analytics specialist
Data systems developer
Data-driven decision maker
Queensland University of Technology (QUT) is a major Australian university with a truly global outlook. Home to nearly 50,000 students, we’re providing real-world infrastructure, learning and teaching, and graduate skills to the next generation of change-makers.
Queensland University of Technology (QUT) is an ambitious institution, with a growing research output focused on technology and innovation. QUT ranks in the world’s top 200 universities.
Our strategic plan establishes QUT as 'the university for the real world' and charts our provision of transformative education and research that is relevant to our communities.
With more than 50,000 students across two inner-city campuses in Brisbane, QUT offers academic programs in fields spanning business, creative industries, education, engineering, health, law, science, and social justice across five faculties.
Real-world university
We are transforming the learning experience, embedding work integrated learning, and focusing on developing entrepreneurial skills. We offer executive education and professional development through QUTeX, flexible learning through QUT Online, and pathways into our undergraduate programs through QUT College.
QUT is well-known for our strong links to industry and government, and our inter-disciplinary teams create high-impact research in areas as diverse as climate change mitigation, digital media, materials science, and biomedical innovation.
QUT is committed to embedding Indigenous Australian cultures, knowledges, and perspectives across everything we do, and through our Campus to Country strategy we are in the process of transforming our campuses to reflect the past and present culture of Indigenous Australians.
Upon graduating, you will be across recent developments and modern challenges in data science and equipped with skills in key areas including machine learning, data mining, algorithm development, and advanced modelling.
Our world contains an unimaginably vast amount of digital information. Extracting meaning from this data can drive business forward, enable next-generation scientific breakthroughs and produce benefits that make a positive difference in our world.
Data Science is an inter-disciplinary field, drawing on mathematics, statistics, and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
The Master of Data Science will further develop your technical and analytical skills needed to manage and interpret useful insights from large data sets. Your coursework will include project-based assessments allowing you to focus on what you are passionate about.
The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data-management tasks, to master the statistical and machine-learning foundations
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