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

This degree provides an alternative route for entry into a Doctor of Philosophy (PhD) or a Master of Philosophy (MPhil) if you do not meet the entry requirements for direct admission.When you complete this degree, you will be granted admission to an MPhil or PhD, providing you have fulfilled the entry requirements detailed in the <a href="https://sharepointpubstor.blob.core.windows.net/policylibrary-prod/Higher%20Degree%20Research%20Policy.pdf" target="_blank">Higher Degree Research policy</a> and have completed the confirmation procedure. Your final grade will determine whether you are eligible for the PhD or MPhil.You will undertake advanced study and supervised research work in the health discipline, defined by your undergraduate degree. In the coursework component, you will critically evaluate research and develop your knowledge and understanding of statistical analysis techniques as applied to health research. You will also develop an awareness of research proposal design and background. The multidisciplinary context of this degree will be invaluable to you if you are seeking to understand complex problems in health.

A postgraduate research degree that builds on your undergraduate health studies or prepares you for entry to a Masters. Establish the foundations of research so you can conduct your own. Learn to apply statistical methods and use statistical software.

Graduate Diploma of Health Research

Information Technology Fundamentals

Scientific Computing

Inside Information Technology

Basic Statistical Computing Using R

Make It New - Literary Modernism

ICT Project Management and Modelling

Introduction to Cybersecurity

Animation and Motion Graphics Design

Data and Analysis

Australia and Cyber Intelligence

Students will be introduced to the rapidly expanding and influential field of information technology which comprises various types of technologies in computers (both hardware and software) and computer networks. It is therefore relevant to students in a wide range of disciplines: for examples, health sciences, business, engineering and technology. Students will be taught the fundamental principles of computer operations, different types of input/output and storage devices, computer networks including Local and Wide area networks, information systems, Database, the Internet, the World Wide Web and HTML. Students will acquire the knowledge and practical skills in information technology and be able to apply them to their field of study.

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.

This subject aims to provide a broad introduction to the fundamentals of data communication and network technology. The emphasis is on higher aspects of data communication from the perspective of computer scientists and information technologists; the subject covers the underlying mechanisms and their characteristics that need to be considered by communicating application software.
Topics include:
<ul><li>principles and reference models of data communication;</li><li>basic operation of communication systems;</li><li>protocols and error handling, and applications in networked environments.</li></ul>

Learn how people, devices, information and services are continuously connected by an evolving data communications network. Gain critical analysis talent, uncover data communication methods, and reveal the drivers for adopting alternative technologies.

Data Communication and Net-Centric Computing

Cloud Computing is a large-scale distributed computing paradigm which has become a driving force for information technology over the past several years. The exponential growth data size in scientific instrumentation/simulation and social media has triggered the wider use of cloud computing services.This course covers topics and technologies related to Cloud Computing and their practical implementations. You should explore different architectural models of cloud computing, the concepts of virtualisation and cloud orchestration. You should gain hands-on experience with various features of popular cloud platforms such as Google App Engine and Amazon Web Service throughout the lectures, tutorials, and laboratory sessions. Advanced cloud programming paradigms such as Hadoop’s MapReduce is also included in the course. You should also learn the concept of modern Big Data analysis on cloud platforms using various data mining tools and techniques. The lab sessions cover cloud application development and deployment, use of cloud storage, creation and configuration of virtual machines and data analysis on cloud using data mining tools. Different application scenarios from popular domains that leverage the cloud technologies such as remote healthcare and social networks will be explained. The theoretical knowledge, practical sessions and assignments aim to help you to build your skills to develop large-scale industry standard applications using cloud platforms and tools.This course focuses on learning emerging issues related to Cloud computing technology. The objectives are:<ul><li>Understand various basic concepts related to cloud computing technologies</li><li>Understand the architecture and concept of different cloud models: IaaS, PaaS, SaaS</li><li>Understand big data analysis tools and techniques</li><li>Understand the underlying principle of cloud virtualization, cloud storage, data management and data visualization.</li><li>Understand different cloud programming platforms and tools</li><li>Have details knowledge on reading and writing in cloud storage</li><li>Be familiar with application development and deployment using cloud platforms</li><li>Create application by utilizing cloud platforms such as Google app Engine and Amazon Web Services (AWS)</li><li>Learn to develop scalable applications using AWS features.</li><li>Learn basic concepts of MapReduce programming models for big data analysis on cloud.</li></ul>

Round off your IT course with an exploration of cloud platforms, apps, and databases. Elevate your coding to include advanced cloud programming. Unpack big data and cloud storage. Complete problem-solving tasks and gain hands-on experience.

Cloud Computing

Entrepreneurship is an essential element of today’s society. This subject will outline the basic principles of Entrepreneurship. It will examine the steps required in developing an idea into a business and will explore the tools and necessary insights to make a successful venture. You will interpret and employ theory to case studies. Guest speakers will present and discuss start-up issues, pitfalls, and the ingredients for success. You will also develop professional skills related to ethical and moral decision making and evaluate the social implications of their work and the broader global context.

Professional Practices and Entrepreneurship in Information Technology

This course will take you from the history of computers, through the basics of their design, into the role and structure of operating systems, and will finish with a focus on programming and comparative programming languages.Your course content is heavily informed by industry needs and will lay a solid foundation to help launch your career in IT.  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 first-year course from UniSA Online’s Bachelor of IT and Data Analytics degree.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.

Dive into the history of computers. Look at the basics of their design, the structure of operating systems and more. Move onto programming. Learn skills to launch your career in IT.

This course is an introduction to computing ethics, law and employability. It is intended for computing students who have not studied business principles, or who have little work experience in industry. The course provides a survival kit for computing graduates entering the workforce. During this course, you should consider computing ethical issues, such as information privacy, computer crime, computer security, social networks, online identity. During this course, you should also consider the international legal frameworks available to protect software system development. This includes non-disclosure agreements, employment contracts, intellectual property law (copyright, patents, licensing, royalties), trademarks and warranty disclaimers. Additionally, you should examine the marketing of a software system development, involving SWOT analysis and action plan.

Gain commercial insight into computing ethics, law and marketing in a professional, technical setting. Dig into the dark corners of malware, computer crime and terrorism. Study privacy, patents, royalties and global laws protecting software systems.

Professional Computing Practice

This unit is designed to develop the skills of problem solving and program design using an Object Oriented programming language. It assumes that you have passed an introductory unit in programming, such as ICT159 Foundations of Programming. This unit will use the Java language for practical work to develop your programming skills. Major topics include: algorithm design; procedural abstractions; the concepts of pre- and post-conditions; strings, arrays, introduction to object-oriented concepts including data abstraction, encapsulation, classes and object references, inheritance; introduction to recursion; streams and file input and output; the definition and use of common classes like lists, stacks and queues.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>.

Cover computer science fundamentals– from implementing object-oriented programming, to range checking, error-handling, recursive solutions, search algorithms and more. Use arrays, strings, files, lists, stacks, queues and hierarchy with confidence.

Principles of Computer Science

This subject introduces R, one of the popular open source statistical programming languages commonly used in applied statistics and data science disciplines. Students will learn key programming principles of R and develop competence in programming in R which are essential for a statistician or data scientist to perform different types of statistical analyses.This subject was formerly known as STA60003 Basic Statistical Computing

Upskill and package up your computer and statistical knowledge. Form questions. Use SPSS software to select, modify, merge and apply data visualisation techniques. Investigate missing values and manage complex data files. 

“Make it new” – during the early 20th century modernist writers produced some of the most innovative and exciting literary texts in English. We’ll examine just why modernists declared it was time to “make it new!” and rejected the certainty of tradition. We’ll read revolutionary modernist fictions and manifestos, sound poems, experimental plays and ground-breaking films. In this subject, we&#39;ll explore modernism as an umbrella term for a multitude of literary responses to modern life - varied, contradictory and contested - and introduce central concepts used in modernist studies. We&#39;ll move between centres of modernist writing, such as London, Zurich, Paris, Berlin and New York to encounter key literary figures and artistic groups who all tried to break new ground in different ways.We will examine questions surrounding the creative tensions between tradition and experiment, the &#39;difficulty&#39; of modernist writing, high- and middlebrow fiction, postcolonial perspectives, gender politics, our own academic practices and the literary canon. Throughout the subject, we will read modernist writing in the context of political &amp; cultural events, as well as contemporary developments in art, film and music. This is a level 3 subject. Please consider the subject pre-requisites before enrolling. This subject includes live sessions with the expectation of student attendance and participation.

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