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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)

Combine two of today&#39;s most crucial ICT skills, data analytics and cyber security, into a single qualification in this graduate certificate. You&#39;ll learn how to analyse vast quantities of data in order to extract intelligence for commercial planning and how to secure that data from privacy and security breaches. Knowledge in these areas is highly sought-after in today&#39;s digitally disrupted economy.The skills in data science, data management, data visualisation and cyber security you&#39;ll gain in this program will apply to business and commercial scenarios, helping to future-proof your career. You&#39;ll develop the ability to analyse, manipulate, model and interpret large data sets using digital platforms and tools, such as Python, Tableau, Hadoop and SQL. You will also be able to apply these specialised skills to securing your business data, to uncover patterns, and generate valuable insights into operations and decision-making.

This dual specialisation empowers you to understand big data and apply this knowledge to cybercrime mitigation. Future-proof your IT career by learning how to collect data sets, secure the information, and use it to gain valuable insights.

Graduate Certificate in Data Analytics and Cyber Security

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

The Graduate Certificate in Sports Analytics is designed to ensure you develop an evidence-based foundation in sports analytics, and a sound understanding of the relevant concepts and application of data science and technologies to suit the sports industry. The degree is delivered online, with a curriculum that will provide knowledge and skills immediately applicable to your employment situations. The degree embeds research-led teaching at the core of its curriculum to deliver evidence-based knowledge and practice for immediate application in industry.

Learn how data unlocks the competitive edge. You’ll combine technical Python skills with current approaches to data storage and reporting. Explore data’s role in elite sport. Become a valued sports specialist who maximises performance outcomes.

Graduate Certificate in Sports Analytics

The Bachelor of Business and Enterprise has a focus on developing innovation and impact in a complex and changing business world with inspired and multidisciplinary learning experiences. You’ll become equipped with the practical skills, tools and knowledge that are vital for the sustainability of society, business and industry.Build a portfolio of professional experiences through a range of real world interactions with employers, industry and the community.You can undertake the course with a professionally accredited specialisation in accounting or financial services. Alternatively, you can choose a major in either business and data analytics, entrepreneurship and innovation, tourism management or aviation management, combining this with an industry project or an internship or a shared major from disciplines across the University.

Generate valuable insights to help businesses make better decisions. You’ll study statistical techniques for real-world problem solving. Build awesome dashboards to display your data. Produce market intelligence and feed into business forecasting.

Bachelor of Business and Enterprise (Business and Data Analytics)

Learn to use data to make informed business decisions. A Bachelor of Business majoring in Business Analytics will include building foundational programming skills for business analytics and developing knowledge on the business context and various applications of analytics in a range of business scenarios. Business analytics is an exciting and emerging discipline that combines technology-related skills with business acumen.The Business Analytics major aims to provide students with an understanding of the impact, potential and limitations of business analytics for businesses in today’s data-driven world. The major develops a range of skills and competencies that enhance existing skills common to business professionals and develop new skills that are now considered necessary for business professionals. Business Analytics is positioned at the intersection of business and Information, Communications and Technology (ICT). As such ICT-related skills will be developed and applied with a specific focus on application for businesses by business professionals, along with the development of other skills relevant to business analytics such as critical thinking, problem solving, communication and teamwork. The business analytics major is relevant for all business professionals due to the ubiquity and proliferation of data and the significant potential of the wealth of data to provide businesses with a competitive advantage.

Choose a business degree that empowers you with one of the most important skills in business today: data analytics. Graduate with skills that put you at the forefront for tech-driven roles. Learn how to make business decisions based on data.

Bachelor of Business (Business Analytics)

We’ve partnered with leading analytics platform Tableau to provide you with the industry-relevant experience you need to excel as a data analyst. This bootcamp equips you with practical, hands-on skills and is informed by world-renowned data experts.Data analysts interpret complex data patterns and use that information to make valuable business decisions.Since we’re in the age of analytics, the need for skilled data analysts is only predicted to skyrocket, with a 27.7 per cent job increase expected in the next five years.Swinburne Online’s Graduate Certificate of Professional Data Analytics is designed with industry mentor Tableau to ensure your skills are relevant to what employers are looking for these days. You’ll have the opportunity to work directly with industry experts and apply your skills to live projects.This course also offers you the opportunity to obtain the Tableau Desktop Certified Specialist certification. This industry-accredited qualification will demonstrate your advanced abilities to the market so that you can enjoy greater job security, higher salaries and new job opportunities. The Graduate Certificate of Professional Data Analytics will help prepare you for the exam, and at no extra cost.Swinburne’s employment-driven bootcamps are formal postgraduate qualifications in an in-demand field.

Spend 6 months studying data analytics for business and excel as a data analyst. Gain hands-on skills with Python and data visualisation tools. Developed in collaboration with Tableau, this course includes the chance to prep for certification.

Graduate Certificate of Professional Data Analytics

If IT is your passion, our Bachelor of Information Technology immerses you in a field that is driving our world forward.If you dream of developing amazing software, designing multimedia experiences or creating tomorrow’s smart systems, this degree provides the technical, analytical and creative skills you need. Study on campus or online and take advantage of optional internship units that add hands-on, real-life experience.Tailor your studies through the choice of a major in big data technologies; networks and cybersecurity; digital interaction and the user experience; or software development - you&#39;ll have the opportunity to put that theory into practice through a professional placement of 312 hours as part of your course.Whether as a programmer, designer, web developer, systems analyst, database administrator, project manager, ICT network professional or technical support personnel, the Bachelor of Information Technology is the beginning of what could be an amazing future.

With specialisations ranging from cybersecurity to UX, this IT course is current and relevant for students looking to work in IT. Choose real-life experience placements to gain the competitive edge. Secure a pathway to your future and shape the world.

Bachelor of Information Technology

Digital technologies are an integral and growing component for competitive advantage and effective business operations in the global marketplace. Managers and analysts require the skills and knowledge to leverage a professional profile in the increasingly pervasive digital economy. The era of digital business puts much greater emphasis on data-orientated tasks that enable business to measure, track and analyse business outcome in real time to support evidence-based decision making. These tasks feature data collection, some empirical data analysis and some strategic thought about the implications for business outcomes. There is a growing demand for skills that enable Business workers to harvest, analyse and develop strategic and timely Business insight from data trends. Many Businesses and public agencies are struggling with developing actionable Business intelligence based on the data available to them. Google nowadays processes over 40,000 search queries every second on average which means over 3.5 billion searches per day and 1.2 trillion searches per year worldwide. The next question is: what to do with this data? A knowledge of business analytics bridges the gap between data specialists and decision makers. It offers students a unique opportunity to place themselves at the forefront of the business decision-making process as they acquire a &#39;common language&#39; understandable by both data scientists and business management. Through this program, students will develop solid intelligence in data usage, quantitative methods, business &amp; management analytics.Through this program, students will develop solid intelligence in data usage, quantitative methods, business &amp; management analytics. The key objectives are for students to:<ul><li>Acquire the ability to make sense of business data, small and large, and make effective business management decisions.</li><li>Identify data sources, visualise their applications to generate appropriate data management strategies, and spot data trends through state-of-the-art analytical tools.</li><li>Forecast and Perform predictions on data sets using an industry standard software tool set.</li><li>Gain the skills and knowledge needed to support digital business activities in an international environment.</li></ul>

Learn to make sense of business data and you’ll make better business decisions. You’ll explore how to transform data into useful information. Topics include big data and business intelligence systems. Give your business the competitive edge.

Graduate Certificate in Business Analytics

As the availability of data increases and the cost of acquiring data decreases, organisations are increasingly able to pursue data-driven decisions. Business Analytics can be applied to leverage and interpret data from multiple sources to assist business professionals to make optimal decisions. This course is designed for those who want to pursue a role in Business Analytics as well as business professionals who want to improve the quality of decisions in their business areas. Students will be exposed to a range of relevant theory, knowledge and approaches to develop and enhance their conceptual and practical understanding of data analytics in business areas such as human resource management, marketing and supply chain management. Students will be given opportunities to work with a range of Business Analytics tools to identify patterns and trends in complex data sets, and to visualise them in meaningful ways.You have the option of studying this program online or on-campus.

Help businesses use data to drive strategy. You’ll gain knowledge in data analysis and visualisation to apply to your current or future analyst career. Focus your learning within the context of a business area, including logistics and marketing.

Graduate Certificate of Business Analytics

Data and Analysis

Data Analytics Concepts

Business Intelligence

Scientific Computing

Data Analytics for Cyber Security

Data Visualisation

Data-Based Critical Thinking

HR Analytics

Professional Practice in Data Analytics

Disruption in Business

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

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.

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.

Effective data visualisation is the crucial final step of data analysis. Data visualisation communicates relationships within the data with visual images, which allows your stakeholders to gain insights and easily identify patterns and trends. Through this course, you’ll discover some of the common ways data visualisations are applied in a range of organisations while gaining the skills to use common visual analytics software. 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.  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. This is a third-year course from UniSA Online’s Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course.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.

HR analytics is the process of collecting and analysing HR data to improve an organisation’s workforce. In this course, you’ll learn how HR data can be used to measure how HR initiatives are contributing to the organisation’s goals and strategies. Learn the basic concepts, processes and tools that are used to identify commonly encountered HR issues. Gain the skills to evaluate information using basic statistical analysis. You’ll also explore ethical issues and future trends associated with HR analytics. 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 third-year course from UniSA Online’s HR degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFS 2038, 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.

Harness the power of data for effective decision making in human resources. This specialised study within human resources management covers data analysis and statistical tools. You’ll also explore the ethics of using employee data.

In today&#39;s world, good decision-making relies on data and data analysis. This course helps students develop the understanding that they will need to make informed decisions using data and to communicate the results effectively. The course is an introduction to the essential concepts, tools and methods of statistics for students in business, economics and similar disciplines, although it may have wider interest. The focus is on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. Much of the work will require students to write effectively and communicate their ideas with clarity. The course covers two main branches of statistics: descriptive statistics and inferential statistics. Descriptive statistics includes collecting data and summarising and interpreting them through numerical and graphical techniques. Inferential statistics includes selecting and applying the correct statistical technique in order to make estimates or test claims about a population based on a sample. Topics covered may include descriptive statistics, correlation and simple regression, probability, point and interval estimation, hypothesis testing, multiple regression, time series analysis and index numbers. Students will also develop some understanding of the limitations of statistical inference and of the ethics of data analysis and statistics.

Get ready to make confident business decisions backed by data. Dive into statistics concepts and tools, then test your skills on a real-world scenario. When you know how to use statistics, you’re empowered to communicate with clarity and persuasion.

Data Analytics I

This subject helps the student evaluate data-based evidence encountered in everyday life. It provides the fundamental numeracy skills required by business people, scientists, lawyers, nurses, journalists, social scientists, teachers and other professionals who need to evaluate data-based arguments, whether found in newspapers, television or on-line websites. This is achieved by a combination of studying newsworthy topics introduced in lectures, laboratory classes which encourage engagement with others and on-line quizzes that assess numeracy skills. The four themes covered in this subject are gathering useful data, turning data into information, probability and from data to decision making.

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