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

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. 

Graduate Certificate in Data Science

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

Study the Artificial Intelligence and Machine Learning specialisation with UniSQ and explore concepts regarding deep learning, natural language processing, information retrieval and knowledge management. In an increasingly data driven world, it&#39;s critical that we can use information retrieval technologies and systems to query and retrieve useful information to support advanced data analytics and inform high-level decision-making. Explore concepts and learning within big data management, machine learning and data mining to ensure you have the knowledge for a career in this dynamic industry.

Master of Data Science (Artificial Intelligence and Machine Learning)

Artificial Intelligence (AI) is all around us; it’s changing the way we see the world, not only creatively in technical areas but across a variety of industries. Understanding how AI works and what benefits it can have can put you in the forefront in the job market. Within this program you will learn to implement AI algorithms and techniques using high-level programming languages to solve real-world problems. At UniSQ you can benefit from our extensive connections with industry partners and gain work-integrated learning experience during a final-year capstone course.

Learn to mine data, create database systems, and feed AI algorithms. You’ll study programming, maths and networks. Cover statistical concepts. Think about AI solutions for real world problems. Grow your professional skills. Get real industry experience.

Bachelor of Information Technology (Artificial Intelligence and Data Science)

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

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. 

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. This course is focused on establishing a solid foundation in mathematics, statistics and computer science/programming methods/tools that are central 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.You have the option of studying this program online or on-campus.

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.

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

Study Data Analytics On Demand with UniSA Online and take full control over your study. Access support seven days a week, plan your study to fit around your life, view learning resources 24/7, and log into the interactive online environment anywhere, any time and on any device.UniSA Online’s data analytics degree is an opportunity to propel yourself into the booming field of data science. Employers are looking for people who can transform oceans of data into streams of meaningful insights to make better-informed decisions, drive business growth, and increase their competitive advantage. Through extensive industry consultation, we’ve designed a 100% online data analytics degree that covers emerging data trends and the latest developments in the field to ensure you graduate with a hyper-relevant skillset to enter the industry for the first time, or land a higher-level role.Discover how data can be used to achieve organisational objectives, whether it be through cost reductions, faster and more effective decision making processes, or the development of new products and services.The flexibility of this 100% online degree puts you in control of when and where you study. UniSA Online provide personalised and extended-hour support so you have the best chance to succeed and thrive in your studies.

Become the highly valued professional that helps business make better-informed decisions. Learn to analyse and visualised data, and feed it up the business to strengthen strategy and planning. Topics include big data, programming, and statistics.

Bachelor of Data Analytics

Innovation, digital communication and technical abilities are essential skills for business operations in our technology-driven world.The Bachelor of Information Technology, Bachelor of Business develops these qualities, combining information technology skills with business management principles.You will gain an understanding of contemporary, responsible business practices, and the critical role technology plays in robust business functions, as well as the technical ability to build infrastructure and systems. You can choose to major in a range of subjects from both information technology and business disciplines. You may also elect to specialise in accounting or financial services.This double degree is a pathway to multiple career options, from software development to international business, networking and cybersecurity to marketing, data science to entrepreneurship and beyond.

Combine tech and business skills to unlock careers from software development to international business. You’ll learn how technology is crucial for business success. Focus your double degree with majors including cybersecurity, UX, and marketing.

Bachelor of Information Technology, Bachelor of Business

Scientific Computing

Mapping, Analysing and Visualising Data

Introduction to Spatial Information

From Logic to Data Processing

Database for the Enterprise

Data and Analysis

Data Analytics Concepts

Business Intelligence

Data Analytics for Cyber Security

Data Visualisation

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

Equip yourself with the skills to effectively interact with large structured and unstructured data sets in our comprehensive course.Explore critical topics such as concurrency and transaction management, data organisation, hashing, indexing, and query optimisation. Learn about active databases and procedures, distributed database design, fragmentation, and replication. Master the intricacies of distributed transactions and delve into the architecture and components of data warehouses.Understand data warehouse modelling, including star and snowflake schemas, and gain proficiency in multidimensional Online Analytical Processing (OLAP) and relational OLAP analysis. Learn to design data warehouses and manage data uploading, updating, and integration.UniSA Online’s 10-week short courses give you the flexibility to up-skill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.  This is a second-year course from UniSA Online’s Bachelor of Data Analytics. When studying this course as a &quot;single subject&quot;, prior knowledge from INFT 1032 , INFT 1025 or equivalent will support your success. Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

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. 

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.

Build data and IT skills that you’ll use throughout your science degree and career. You’ll learn how to collect, prepare, and process data using computers. See how spreadsheets can enhance the efficiency and accuracy of your scientific research.

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.

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.

Gain a solid foundation in mathematical and statistical concepts essential for mastering data analytics.This course covers key topics such as linear algebra concepts, vector and matrix operations, and the fundamentals of eigenvalues and eigenvectors. Explore dynamical systems and optimisation techniques, including gradient descent. Dive into linear regression, probability concepts—such as probability laws, Bayes&#39; rule, and independence—and selected probability distributions. Learn the principles of statistical inference and how to apply them effectively to data analytics.This is a first-year course from UniSA Online’s Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1080, MATH 2032 or equivalent will support your success.Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Mathematics Essentials in Data Analytics

Build a strong mathematical foundation for your data analytics journey with our comprehensive course.Explore essential topics including arithmetic and algebraic operations, linear and quadratic equations, and logarithmic and exponential functions. Dive into matrices and determinants, and master absolute values, inequalities, and sets. Gain a solid grounding in basic probability and statistics to support your data analytics skills.Join us to develop the mathematical skills needed to excel in data analytics and unlock new opportunities for data-driven insights!This is a first-year course from UniSA Online’s Data Analytics degree. Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Fundamentals of Mathematics for Data Analytics

Enhance your skills in applying supervised, unsupervised, and deep machine learning techniques to solve real-world data analytics challenges.In this course, you&#39;ll explore linear regression, regularisation, and logistic regression, and delve into advanced neural network architectures and learning techniques. Gain expertise in convolutional and recurrent neural networks, including long short-term memory (LSTM) networks. Learn practical applications of machine learning, including clustering, dimensionality reduction, anomaly detection, and large-scale machine learning.UniSA Online’s 10-week short courses give you the flexibility to up-skill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.  This is a third-year course from UniSA Online’s Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFS 3081, INFS 3076 or equivalent will support your success.Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Machine Learning

In this subject, you will be introduced to mathematical and statistical methods for analysing scientific, business or technical data to inform and support decision-making. You will explore why data is needed and how it is used to make decisions, including how data are collected, analysed, interpreted and presented, and you will learn and apply a suite of common statistical and mathematical methods to generate evidence for decision-making.You will also be introduced to data management software and learn how to represent and communicate mathematical and statistical information effectively. Through data sets relevant to your discipline, you will learn how to problem solve, generate evidence, and present solutions using data handling and statistical approaches.

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