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

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

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

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

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

Jump into the real world of big data, high-level analytics and business transformation with the Graduate Certificate in Business Data Analytics from Charles Sturt. Study a course designed by and aligned with industry, so you can really make your mark.

Love how the nitty-gritty of numbers can paint a thousand words? Data analytics could be for you. Start learning how to use data tools for decision-making and storytelling in business. Get expert guidance from real data analysts.

Graduate Certificate in Business Data Analytics

Torrens University&#39;s Master of Business Analytics teaches you to convert data into solutions. Gain practical knowledge in analytics and diversify your career with data-driven skills in key analytical areas such as artificial intelligence, data, optimisation, and visualisation and storytelling will be developed in this course.The unique course design also provides the ability to link into other study opportunities for further career development including a Master of Business Administration or Master of Business Information Systems.Tailor your study to your lifestyle thanks to our innovative digital learning system, accessible from anywhere with 24/7 personalised support. With all your course materials online, and the option to study full or part time, on-campus, online or a blend of both it&#39;s all about flexibility.Course duration: 1.5 years full-time, part-time options available.

Become an in-demand expert in data and insights. You’ll expand your analytical skills, explore new technologies, and build on communication techniques. Deliver tailored business solutions. Endorsed by the International Institute of Business Analysis.

Master of Business Analytics

The health information workforce is a rapidly developing one. The Master of Health Information Management (MHIM) is an advanced program designed to provide you as current and future health information management professionals with rigorous training focused on issues of contemporary professional health information management practice.Recent industry reports and consultations have highlighted the health information workforce shortages. There is a need for appropriately qualified individuals; professionals who have the skills and knowledge to fill decision-making roles to meet the increasingly complex nature of delivering and managing health services in a data-driven environment. This has become increasingly critical given the national move to Activity Based Funding, where hospitals must track their activity at all levels against agreed targets to optimise their funding. Added to that is the push for efficiencies in the system using digital health and, assistive and emerging technologies (electronic medical records, personalised electronic health records, digitalisation) which will only serve to intensify the need for this professional sector of the health workforce in the future.

Thanks to e-medical records and capabilities, hospitals are using tech to track activity and gain funding. With this comes the need for specialised health information professionals. Specialise in analytics, governance or leadership. 

Master of Health Information Management

The world’s biggest companies are increasingly using business analytics to help them measure their past performance, improve efficiency, increase profits and innovate. Those with skills in data-driven decision-making and problem solving – who can visualise findings and tell stories with data – are in demand in all industries, both in Australia and across the globe.The flexible Graduate Certificate of Applied Business Analytics has a strong focus on practical and real-world applications of business analytics tools and techniques. You’ll develop your knowledge of computer programming, databases, applied statistics and machine learning techniques applied to big data. You’ll apply data modelling and forecasting methods for analysing data from various sources. And you’ll become adept at recognising the importance of ethical reasoning in the solution of analytics-related problems.Key Features<ul><li>Examine the three key categories of contemporary analytics - Learn how to apply descriptive, predictive and prescriptive techniques to solve business problems.</li><li> Study 100 per cent online for maximum flexibility - Gain a professional qualification while studying online, and fit your studies around your work and life commitments.</li><li> Get the skills you right need now or ladder up to a master degree - Gain credit towards Australia’s longest-running Master of Business Analytics, which is ranked in the top 100 in the world.</li><li> Build practical capabilities alongside theoretical knowledge - Focus on real-world applications of business analytics tools and techniques.</li></ul>

Develop programming, database, and statistics skills. You’ll explore machine learning techniques applied to big data. Use data to problem solve and make decisions. Visualise and tell stories. Get the right skills for an evolving IT industry.

Graduate Certificate of Applied 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

This subject will enable students to critically evaluate the theory, practice and processes for managing data in the healthcare system. The foundations of health data, information, knowledge and wisdom will be introduced, including the concept of information architecture. Methods and the value of data analysis and interpretation are the central focus of the subject, along with an exploration of the role of data linkage. Students will have opportunities to hear from experts across Australia and participate in industry case studies and analyses.

Health Data Management, Information Analysis and Improvement

Students will acquire the skills and techniques required to analyse and manage data, interpret results, and report data analysis methods and findings in a business environment. Qualitative and quantitative research approaches are examined to consider their respective contributions, discretely and in combination, to knowledge development through empirical research. The quantitative component covers basic statistical thinking and data analysis techniques. A strong emphasis will be placed on the logic underlying statistical concepts such as probability and probability distributions, normal distribution, sampling distributions, parameter estimation, and hypothesis testing. A range of data analysis techniques will also be covered, including t-test, Analysis of Variance, cross tabulation, regression, correlation, and factor analysis. There is a strong emphasis on the application of statistical techniques to practical research problems in a business context. The statistical computer package SPSS will be used for the statistical analysis of data. The qualitative component examines principles and techniques for organising, analysing and reporting qualitative data. The central principle of this component is the execution of rigorous qualitative data analysis through ‘good housekeeping’ – undertaking, recording and demonstrating careful, rational decision-making in qualitative data analysis (Marshall, 1999). Consequently, strategies for undertaking and reporting analysis of qualitative data are equally emphasised. Strategies for data analysis will include techniques for organising, searching, retrieving and interpreting qualitative data to develop and test theoretical conclusions. Strategies for reporting analytical processes will incorporate techniques for recording and describing data analysis, including the articulation of theoretical conclusions and the use of qualitative data to illustrate and support conclusions drawn. Data analysis processes will be undertaken using NVivo, a computer software program for qualitative data analysis.

Data Analysis and Management

With the explosion of technology and data in health, the field of health informatics is growing. This subject will evaluate the field of health informatics as a discipline within the health system, and appraise key principles and theories. The foundational elements of data, information, knowledge and wisdom are assessed within the healthcare context. Applicable standards and governance are introduced. This subject provides the foundation for ongoing exploration of health informatics.

Introduction to Health Informatics

The ability to make sound decisions in High Performance Sport is critical to maximizing performance outcomes. In order to do this, practitioners need specific knowledge and skills in data analysis techniques, in addition to the ability to present data in a meaningful way to a variety of audiences. This subject is based on contemporary data analysis techniques focusing on determining practically meaningful differences in athletic performance. A range of approaches will be explored to allow for analysis of both individual and group data. The aim of this subject is to provide students with the knowledge, understanding and skills to analyse and interpret data of relevance to sports science and athletic performance and effectively present the results.

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