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

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

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

UniSQ’s Master of Data Science (Data Analytics) provides an opportunity for graduates from all disciplines to gain useful knowledge in Big Data with a specific focus on Data Analytics. From big data management, machine learning and data mining, to programming and big data visualisation, you will be prepared for a career in a dynamic and fast-paced industry. Work independently and collaboratively to apply key ICT and data science technologies and programming skills to interpret major theories and critically investigate and solve contemporary core issues in a global market.

Master of Data Science (Data Analytics)

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.

Bachelor of Information Technology (Artificial Intelligence and 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. 

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

Scientific Computing

Mapping, Analysing and Visualising Data

Introduction to Spatial Information

From Logic to Data Processing

Data and Analysis

Data Analytics Concepts

Business Intelligence

Data Analytics for Cyber Security

Data Visualisation

Data-Based Critical Thinking

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

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 is a level 1 subject and includes live sessions with the expectation of student attendance and participation.

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.

Any modern business today will utilise some form of spreadsheet tool to review, manipulate and visualise data (in the form of charts for reporting). A spreadsheet tool also enables one to undertake advanced tasks on business data, such as performing scenario analyses and undertaking complex data analytics, for example creating a forecasting model. In this subject, you will learn how to use two technological tools to undertake data analysis. The first tool is Structure Query Language (SQL), which we will use to pull relevant data into Excel and facilitate further analysis. Next, various advanced Excel analyses including pivot tables, statistical analysis, and creation of basic forecasting models will be covered. Upon successful completion of this subject you will be proficient in basic data analysis using Excel and SQL, setting you up to become an analytical and data driven problem solver. With these skills, you will also be ready to identify insights allowing you to disrupt typical business operations systematically and with a higher chance of success.

Get up to speed with basic data analysis using SQL and Excel. You’ll delve into the data analytics concepts and processes used in business today. Find, present, and explain data trends. Solve complex business problems.

Note: If you study this subject in Winter, the subject will be a shorter duration (5 weeks) and will require at least 20 hours of study per week.Data analytics is present in every moment of our lives. Smartphones, smart cars, smart fridges. Netflix, Stan, Amazon, and Facebook. Strava and Nike providing feedback on your current workout. FlyBuys, Qantas Frequent Flyers, and Woolworths Rewards. At the heart of comprehensive data collection and analysis is a desire and quest to understand ‘everything’, and this unit invites students into every layer of this data-driven world. MSP202 teaches students how to clean, manipulate, and transform data into creative visualisations using Microsoft Excel to tell a story for invested stakeholders. Students examine the impact of data analytics in the context of their career and the world of work more broadly, including the spheres of marketing and communications, journalism, the creative arts, sport, health, and education, grounding practical skills in a social context and reinforcing the how and why of data analysis. We explore ethical issues relating to data surveillance, the positive and negative implications of data mining on human behaviour, and the analytics machines central to the functioning of Google, Amazon, Facebook, and Uber. The unit offers students the skills to engage with data with an awareness of ethical considerations, and the capacity to manipulate that data to make sense of it for invested stakeholders, telling a story that has the capacity to change the world.Please Note: All students studying at Murdoch University will need to complete the compulsory unit, Murdoch Academic Passport (MAP100), which only takes 2-3 hours to complete online. Find out more: <a href="http://goto.murdoch.edu.au/MurdochAcademicPassport" target="_blank">http://goto.murdoch.edu.au/MurdochAcademicPassport</a>

Work with data and see the impact you can have on everyday life. From collection to analysis, you’ll explore how data tells stories, informs decisions, and influences human behaviour. Get creative with visualisation. Get ethical with your approaches. 

The Search for Everything: data Analytics and Storytelling in the 21st Century

This subject introduces students to modern data analytics, visualisation, and statistics. It equips students with the skills required to take advantage of powerful computing for the analysis and visualisation of complex data. These skills are used to solve problems in areas such as the biological sciences, medical sciences, agricultural sciences, nutrition, health sciences, education, and business. Students will become familiar with data visualisation and computing, descriptive statistics, statistical modelling, and data-based decision making. Using statistical computing packages is an integral part of this subject. This subject allows further study in second-year subjects in statistics and data science.

Making Sense of Data

In this subject, you are introduced to quantitative statistics, qualitative coding and the role of health data analytics in healthcare organisations and public health research. Key emphases include understanding the importance of healthcare data as an asset, identifying and applying the key elements of the data capture and analysis process in key research methodologies, along with effective presentation, communication and dissemination of findings beyond peer review publications. You will also investigate the role of health data analytics in quality and performance indicators. This subject includes synchronous sessions held during business hours. This means that you will attend sessions each week simultaneously with your facilitator and classmates. This subject is recommended for first-year undergraduate students.

Introduction to Data Analytics in Healthcare

The use of data in management decision making is essential for organisations of all sizes to be able to uncover and respond to opportunities and threats. The fields of business intelligence and analytics (including data mining) have consistently been top investment priorities, and with the new capacities of self-serve, visualisations and cloud-based (web-based) technologies, organisations are becoming even more information rich. The course explores how professionals can use information systems and business intelligence to conduct an analysis of business operations and performance for enhanced decision making. Be introduced to concepts, processes and technologies in business intelligence and business analytics, and learn to use selected analytics, to interpret solutions for business-related problems and provide relevant business advice.  This is a great course for those who have not had experience with business intelligence, and who don’t come from a technical background.  UniSA Online’s 10-week short courses give you the flexibility to upskill 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 degree. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1075 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.

Make better business decisions using analytics and information systems. You’ll explore key analytics tools and methods. Gain the competitive advantage with reliable business intelligence. Identify opportunities, optimise processes, and drive profitability.

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