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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)

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

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 Master of Financial Technology offers a qualification that provides advanced studies in modern technology with knowledge of the global financial market. The finance industry is becoming more information and data-driven. Businesses have greatly benefited from using advanced data analytics to improve their financial position.The program is designed for students, either with or without the background in IT or Finance, to enter a rapidly growing FinTech industry, which includes big data analytics, artificial intelligence, blockchain, programming and cybersecurity, while at the same time understanding how financial markets function.Students will be learning advanced Excel skills combined with the Python programming language, R Studio and Tableau to evaluate a large amount of financial data and assess different investment decisions across various market conditions.This program provides a unique opportunity to combine these skills in a unified degree, and graduates will comprehend specialised knowledge in the financial services organisation and the application of emerging technologies in the finance industry.The Master of Financial Technology has two different entry points depending on your previous studies:Standard pathway: If you are interested in moving into the field and do not have a background in finance or IT, you will complete the standard pathway (2 years) which includes a compulsory foundation component.Advanced standing pathway: If you have a prior Finance or Information technology degree you will follow the advanced standing pathway (1.5 years) and skip the foundation course component. You will focus on core Finance and Information Technology courses.

Explore the latest technologies and business models that are changing financial services. Offering study pathways for graduates from IT, finance, and other backgrounds. Disrupt banking and finance. Advance the industry and stay relevant.

Master of Financial Technology

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 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 Information Management

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.

Data Analysis and Interpretation for High Performance

Postgraduate Data analytics Subjects | Open Universities Australia

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