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

This masters by coursework degree is designed to meet the demand for computing experts in an ever evolving digital industry landscape. Students will be exposed to contemporary computer science techniques and technologies with a strong focus on practical application of computing and theory, process and principles. It is also relevant to those seeking to enter the IT profession who have no previous experience in the computing discipline. Graduates of the program will be qualified to work as computing professionals including roles as developers, software engineers, systems analysts and digital architects. The curriculum and capstone components of the course are heavily influenced by industry and offer students the opportunity to apply their expertise in authentic and real-world situations.

Become a critical thinker in ICT, using research skills to analyse complex scenarios in the workforce. Move beyond a computer science “doer” and become an orchestrator. Learn how to run large ICT projects in a professional setting. 

Master of Computer Science

While this course is founded on strong traditional and cutting-edge software engineering know-how, such as programming, maths and statistical knowledge, you’ll also investigate ethics, social responsibility and cognitive psychology throughout your studies. You’ll have the opportunity to investigate advanced software engineering techniques, challenge the foundational principles of your chosen discipline and explore the boundaries of software design. Under the expert guidance of one-on-one professional mentors and our industry-leading faculty, you’ll identify and solve complex artificial intelligence software engineering problems.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: 2 years full time

Dive into deep learning and machine learning. You’ll challenge your discipline's foundational principles and push the boundaries of software engineering. Uncover and solve complex problems under expert guidance.

Master of Software Engineering (Artificial Intelligence, Advanced)

Foundations of Programming

Computer Networks

Problem Solving and Programming

Object Oriented Programming

Introduction to Programming and the UNIX Environment

Programming Principles

From Logic to Data Processing

Software Development Studio 1

Programming Concepts

Computational Thinking

This subject introduces key aspects of computer programming including data storage and manipulation, and problem solving using a high-level This subject introduces key aspects of computer programming including data storage and manipulation, and problem solving using a high-level programming language. Topics include: algorithms and problem solving; testing methodologies; fundamental aspects of a programming language including data types, input/output, simple selection and iteration control structures, data structures, one-dimensional arrays; and introduction to the concepts involved in object-oriented programming.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>.

Tackle the fundamentals of programming – from data structures to programming language and testing methodologies. Learn to create algorithms and use sequence, selection and iteration to solve problems.

Modern software development is a multi-billion dollar industry, where problem-solving skills and solid understanding of programming techniques and practices are vital for producing high quality software. Building core knowledge for the study of computer science, this subject introduces you to techniques for computer program development. You will gain experience using a high-level programming language, and UNIX-type operating systems for developing and debugging computer programs. Honing skills for structured problem solving, you will develop and implement algorithms that break complex problems down into their component tasks and procedures. You will also explore the social implications, ethics and professional practice for IT. Your learning is reinforced throughout with practical exercises that challenge you with interesting problems. Topics include control structures, data types, algorithm design and analysis, basic hardware components and a user view of operating systems.

Take a structured approach to solving complex problems. Build foundation knowledge for further study of computer science. Learn to use UNIX-type operating systems to develop and debug programs. Get involved in practical exercises and assignments.

Experience the power of programming with an introduction to computational thinking and the fundamental concepts of programming, sensors, data and robotics. Ideal if you have not previously studied programming, or you want to broaden your scope, this subject uses visual languages, JavaScript and programmable game environments to introduce concepts quickly, enabling you to build powerful programs and creations. Using programming concepts as a foundation, you will control bots in games and robot simulations. You will also explore topics in mark-up languages (e.g. HTML), natural language processing (how machines can process human language), and asynchronous programming (how robots, agents, and devices can communicate and coordinate). The subject is designed to prepare you for the study of professional programming languages in computer science or information technology degrees.

Learn the basics of computational thinking. Cover the fundamentals of programming, sensors, data, and robotics. Start using text-based languages like JavaScript.

In an era of rapid technological innovation, data and the capacity to process it are the most valuable assets in many fields. Studying this subject, you will learn how data is represented, stored and processed in computer systems. Extending your high-level technological literacy, the subject introduces you to a way of thinking that uses abstraction to move from low level hardware concepts to higher level programming concepts. Working through the natural progression of related concepts in computer programming, you will first explore how circuits can implement logic, then how logic lets us implement computer architecture (memory, processors), and how assembly language lets us write programs that manipulate data, before circling back to the relationship between programs and logic.

Get an introductory understanding of the links between logic, reasoning, data, and computation. Learn how data is represented, stored, and processed in computer systems. 

Learn to apply the principles of object-oriented software development. You’ll learn problem-solving techniques to develop solutions into a robust object-oriented program. You’ll take a hands-on approach and will learn to write a number of programs for each topic, each week. 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 Bachelor of Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from COMP 1043 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.

Learn to code for large, complex and actively maintained programs. You’ll cover main OOP principles including inheritance and polymorphism. Work on programs throughout the course, test them, and debug. Document and collaborate professionally.

Discover different problem-solving approaches and processes which will allow you to move from a problem statement to a code solution. Develop core programming skills using the Python programming language.You will learn strategies and tools to tackle each problem in a straightforward manner.Your problem solving skills can be applied to everything you do – in both programming and non-programming scenarios. It’s a highly sought after skill that will put you in good stead for your future career. 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.

Learn how to go from a problem statement to a code solution. Develop core programming skills using Python programming language. Solve errors in your own code. Build skills that can be applied across a range of scenarios.  

This course introduces Object-Oriented programming using the Java programming language. This course covers: algorithm development using standard control structures; design methods such as step-wise refinement and object oriented programming; the use of standard Java classes and interfaces; the use of standard APIs; I/O processing; and programming style and code reuse.

Program a future in Object-Orientated Programming using Java classes and interfaces. Create algorithms to specification using standard control structures and step-wise refinement. Reuse code and devise strategies to test new software.

Programming 1

The course introduces you to the basic concepts of the World Wide Web, and the principles and tools that are used to develop Web applications. The course will provide an overview of Internet technology and will introduce you to current Web protocols, client side and server side programming, communication and design.

Gain worldwide web skills using principles and tools to develop web applications. Communicate in the language of IT. Get more acquainted with technology, design and HTML5, CSS, SSI and XML web protocols. Learn client-side and server-side programming.

Web Programming

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

Databases and the database technology are having a major impact on the growing use of computers. They play a critical role in almost all areas where computers are used.This course is an introduction to the principles, use, and applications of database systems. It assumes no previous knowledge of databases or database technologies. This course focuses on developing skills in designing databases for efficient data management and SQL programming for querying and using databases for various database applications.

Dig into data principles. Explore the use and application of database systems. Learn how to design and apply software solutions to meet requirements and specifications. Assess and compare software assets and IT systems for organisational and user fit.

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