Open Universities Australia

Dashboard

Find key dates

Access my LMS

Change my studies

Support

Manage my account

View statements & reports

Request online support

Refer a friend

Architecture & construction

Art & creative design

Business & management

Community services & care

Education & teaching

Engineering

Health & medical science

Humanities & social science

IT & computer science

Law & justice

Media & communication

Psychology & mental health

Science

Search all courses

Explore study online

Undergraduate degrees

Postgraduate courses

University certificates

Pathways and pre-university

Single subjects

Microcredentials

Short courses

Study types

Help me choose a course

Chat with a student advisor

Compare courses

Degrees vs single subjects

Choosing a course

Study online

How OUA works

Key dates

How to enrol

Applying for credit

Study planning

Minimum age requirements

Textbooks & study materials

Computer requirements

International students

Getting started

Student loans

Study allowances

Commonwealth supported places

Fees

Financial options

Study support

Study preparation

Disability support

Elite athletes

Exams

Special Circumstances

Your studies

Advice

13 6736

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

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 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

Business Analytics and Artificial Intelligence

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.

Data Analysis and Interpretation for High Performance

Masters Degree Data analytics Courses & Degrees | Open Universities Australia

Course results for Postgraduate Data analytics Degrees

Need help choosing a course?

Related searches