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Study online through Open Universities Australia. Explore all degrees, subjects and short courses now.

Advance your career with Australia’s number one provider of postgraduate IT education. The Graduate Certificate in Applied Artificial Intelligence equips you with the foundational skills and knowledge required to design and develop AI solutions for business organisations. This artificial intelligence course sets you up with the skills that address the industry demand for AI-expert developers – and a career of the future.

Explore how business and industry are using AI today. You’ll get to know the programming processes and maths used to develop AI and machine learning—and think about new applications. Predict trends, uncover efficiencies, shape the future.

Graduate Certificate in Applied Artificial Intelligence

As we battle global challenges from climate change to pandemics our capacity to collect extraordinarily large datasets far outweighs our capacity to manipulate and analyse this &#39;big data&#39;. This degree will provide you with the skills to analyse, manipulate, model and interpret large data sets using digital platforms and tools, such as Python, Tableau, Hadoop and SQL. On graduating you will be able to play an active role in the new data-driven world.

Learn about big data—how to mine it, organise it, transform it, and present it. You’ll build skills to extract seemingly hidden information that presents great value to organisations. Look for patterns. Unlock insights. Get confident with large data sets.

Graduate Certificate in Data Science

Computer Science is a dynamic and developing field that is increasingly pervading every aspect of society. In this program you will learn the fundamental principles underpinning computer science and learn practical software technology development skills for many different platforms and applications.You will have the choice of studying topics such as Programming Languages, Distributed Computing, Computer Architectures, Algorithms and Operating Systems, Machine Learning, Intelligent Systems, Robotics, Programming for Web, Mobile and Embedded Applications, Scientific Computing, Visualisation and Big Data Mining, and Analytics. You can choose between one of two majors and also select from a range of elective courses. In the last year of your studies, you will complete a practical project for industry or research placement providing first-hand experience of the knowledge, skills and attributes required to succeed in full-time employment.

Start with programming fundamentals then explore advanced elective topics. Majors include data science and software development. Includes industry-based work integrated learning. Focus your honours year on a detailed study of your research problem.

Bachelor of Advanced Computer Science (Honours)

A Master of Data Science from the University of Newcastle will equip you with the essential specialised skills and knowledge required to understand and engage with a variety of data generated from diverse industries and settings. This professional and industry oriented program will enable you to apply your theoretical statistical and computational knowledge to better understand and explore data using applied problem solving and computer practice.

Engage with data generated from diverse settings. You’ll learn how to conduct scientific interrogations and predict trends. Make evidence-based decisions. Computational intelligence and health data analysis specialisations are available.

Master of Data Science

A Graduate Certificate in Data Science from the University of Newcastle will provide you with the specialised skills to extract and communicate information from data. If you’re already a data scientist, or working in a related industry, this program will expand your practical skills and give you knowledge of the latest developments in the industry.

Up-skill for career opportunities with this specialised data science course. You’ll study big data, data wrangling, and more. Get ready to model real-world situations, think abstractly, and interpret data. Keep up with an evolving industry. 

Big data is a big deal. Study data science online at Charles Sturt to capture, analyse and make massive volumes of data meaningful is the invisible backbone that feeds a dynamic organisation’s strategic and operational decisions. Think Netflix, Amazon and Facebook – just for a start. The Graduate Certificate in Applied Data Science from Charles Sturt University will take you behind the curtain and equip you with the skills to extract value from masses of data, then use it to inform decisions – big and small.

Find the meaning in data for businesses and industries. You’ll study key concepts including big data and machine learning. Get hands-on with well-known software tools. This course preps you for specialist data analytics roles. Secure your future in IT.

Graduate Certificate in Applied Data Science

This course is focused on establishing a solid foundation in mathematics, statistics and computer science/programming methods/tools that are central to data science.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. Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region. This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science.Students who complete this course will be able to articulate directly into the second semester of the Master of Data Science course.

Draw on your talents in maths, statistics and computer science to carve out an exciting, in-demand career. In data science, you’ll gather data and analyse it before creating recommendations using new-found knowledge. Growth is tipped for this field.

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.This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science. It also pays specific attention to ethical issues surrounding the manner in which data is gathered, stored and analysed/utilised.Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region.

Fill the gap in organisations on the hunt for expert data wizards. Draw on your passion for maths, stats and science in a field that’s tipped for strong future growth. Think critically about collecting, storing, analysing and communicating data. 

This course provides students with skills and experience in bioinformatics, focusing on omics science, computer programming, applied mathematics and statistics.It provides work experience in relevant organisations within the industry, allowing students to gain an understanding of the application of bioinformatics in a real world context. It also focuses on practical skills for researchers and industry professionals in bioinformatics, and offers flexible study options through on-campus and off-campus study.

Hone skills in working with complex data sets – combining biology, computer science and information engineering. Work on a project under the eyes of an industry professional. Make workplace connections. Become a bioinformatition or informatician.

Master of Bioinformatics

Available for online study from anywhere in the world, the Graduate Certificate in Data Management from Charles Sturt University introduces the fundamental principles, concepts, tools, standards and techniques of data management. Satisfy your thirst for knowledge and explore how information can be used to drive change and influence the world around us.

Learn to manage data – including big data – to help organisations know more. You’ll take a rigorous approach exploring planning and governance. Build tech foundations. Get strategic about constant change. Consider privacy, security, and ethics.

Graduate Certificate in Data Management

Scientific Computing

Mapping, Analysing and Visualising Data

Introduction to Spatial Information

From Logic to Data Processing

This subject introduces essential concepts and techniques of computing for conducting science, with special emphasis on the preparation and manipulation of data. We discuss the role of computers and computing tools in science and focus on the use of spreadsheets and other data manipulation tools. This subject introduces vital skills for tertiary learning and explores their relationship to success in future careers.

This subject is designed to give students a general overview of spatial information and its applications. Spatial information is becoming an increasingly prevalent part of our daily lives. The ability to incorporate spatial information into various applications is a valuable skill, with applications across all manner of disciplines and vocations. This subject will introduce students to Geographic Information Systems (GIS) and basic remote sensing analysis. In this subject, students will learn the fundamental concepts underpinning spatial information, and how to represent a variety of variables in a spatial way. Content in this subject is delivered at the introductory level for students who may be curious about the potential of spatial information, and want to develop a basic skillset to analyse and interpret datasets. Concepts that will be introduced include: spatial referencing systems, types of spatial data, creating new datasets, basic image analysis, and data visualisation.

In an era of rapid technological innovation, data and the capacity to process it are the most valuable assets in many fields. Studying this subject, you will learn how data is represented, stored and processed in computer systems. Extending your high-level technological literacy, the subject introduces you to a way of thinking that uses abstraction to move from low level hardware concepts to higher level programming concepts. Working through the natural progression of related concepts in computer programming, you will first explore how circuits can implement logic, then how logic lets us implement computer architecture (memory, processors), and how assembly language lets us write programs that manipulate data, before circling back to the relationship between programs and logic.

Get an introductory understanding of the links between logic, reasoning, data, and computation. Learn how data is represented, stored, and processed in computer systems. 

Throughout history, maps have been fundamental in shaping our view of the world and articulating our place in it, at local and regional scales. Maps guide us in everyday tasks but can also be a means to get global overviews on current topics. Today, as in the past, geo-spatial information is a valuable commodity, harnessed by researchers, governments, business and the public. But maps are not purely scientific objects; they are inherently ideological and subjective, communicating the beliefs, power structures and aspirations of particular times, people and places. This subject introduces concepts and perceptions of geographical space and relationships in different cultures, past and present.

The world now runs on data. If knowledge is power, data science is increasingly how we discover that knowledge. With limitless possibilities for exploration and innovation, it is a field driven by discovery and communication. This subject introduces you to data science using simple and efficient toolkits in Python. You will explore various datasets and apply machine learning algorithms to them. In doing so, you will gain an understanding of data processing workflows, exploration, and visualisation, as well as a conceptual understanding of many of the algorithms themselves. Designed to be exploratory and collaborative, the subject offers you invaluable insights into a rapidly evolving field with diverse and increasingly important applications.

Data Science Studio 1

This subject introduces essential concepts and techniques of computing for conducting science, with special emphasis on the preparation and manipulation of data. We discuss the role of computers and computing tools in science and focus on the use of spreadsheets and other data manipulation tools. This subject introduces vital skills for tertiary learning and explores their relationship to success in future careers.

Macquarie University

This subject is designed to give students a general overview of spatial information and its applications. Spatial information is becoming an increasingly prevalent part of our daily lives. The ability to incorporate spatial information into various applications is a valuable skill, with applications across all manner of disciplines and vocations. This subject will introduce students to Geographic Information Systems (GIS) and basic remote sensing analysis.




In this subject, students will learn the fundamental concepts underpinning spatial information, and how to represent a variety of variables in a spatial way. Content in this subject is delivered at the introductory level for students who may be curious about the potential of spatial information, and want to develop a basic skillset to analyse and interpret datasets. Concepts that will be introduced include: spatial referencing systems, types of spatial data, creating new datasets, basic image analysis, and data visualisation.

University of Tasmania

University of New England

Throughout history, maps have been fundamental in shaping our view of the world and articulating our place in it, at local and regional scales. Maps guide us in everyday tasks but can also be a means to get global overviews on current topics. Today, as in the past, geo-spatial information is a valuable commodity, harnessed by researchers, governments, business and the public. But maps are not purely scientific objects; they are inherently ideological and subjective, communicating the beliefs, power structures and aspirations of particular times, people and places. This subject introduces concepts and perceptions of geographical space and relationships in different cultures, past and present.

La Trobe University

The world now runs on data. If knowledge is power, data science is increasingly how we discover that knowledge. With limitless possibilities for exploration and innovation, it is a field driven by discovery and communication. This subject introduces you to data science using simple and efficient toolkits in Python. You will explore various datasets and apply machine learning algorithms to them. In doing so, you will gain an understanding of data processing workflows, exploration, and visualisation, as well as a conceptual understanding of many of the algorithms themselves. Designed to be exploratory and collaborative, the subject offers you invaluable insights into a rapidly evolving field with diverse and increasingly important applications.

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