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

Advance your career with Australia’s number one provider of postgraduate IT education. The Graduate Certificate in Applied Artificial Intelligence equips you with the foundational skills and knowledge required to design and develop AI solutions for business organisations. This artificial intelligence course sets you up with the skills that address the industry demand for AI-expert developers – and a career of the future.

Explore how business and industry are using AI today. You’ll get to know the programming processes and maths used to develop AI and machine learning—and think about new applications. Predict trends, uncover efficiencies, shape the future.

Graduate Certificate in Applied Artificial Intelligence

Computer Science is a dynamic and developing field that is increasingly pervading every aspect of society. In this program you will learn the fundamental principles underpinning computer science and learn practical software technology development skills for many different platforms and applications.You will have the choice of studying topics such as Programming Languages, Distributed Computing, Computer Architectures, Algorithms and Operating Systems, Machine Learning, Intelligent Systems, Robotics, Programming for Web, Mobile and Embedded Applications, Scientific Computing, Visualisation and Big Data Mining, and Analytics. You can choose between one of two majors and also select from a range of elective courses. In the last year of your studies, you will complete a practical project for industry or research placement providing first-hand experience of the knowledge, skills and attributes required to succeed in full-time employment.

Establish fundamentals in programming and maths, then choose to major in software development or data science and AI. Take part in the work-integrated learning program to build your connections and confidence—it could also help you land a dream job!

Bachelor of Computer Science

Dreaming of building the next top-selling app or developing revolutionary software? If so, the Bachelor of Computer Science from Charles Sturt University is for you. This on-campus or online computer science degree promotes technical mastery while equipping you with the practical skills and attributes to put you at the top of the employment list. From the foundations of computer science and programming to studies in software production, operating systems and the Internet of Things, you&#39;ll move through subjects reflecting the most up-to-date global technologies. You can specialise in game design, or focus on cloud computing and mobile app development. Plus, you’ll have the opportunity to gain real work experience through our paid internship program with global companies IBM Australia and Axiom Connected.The Bachelor of Computer Science can be studied on campus in Bathurst or completely online.

Get a solid grounding in programming principles and databases. Explore how humans interact with computers and the internet. Touch on AI and consider a games specialisation if that’s what you’re passionate about. Accredited by the ACS.

This course offers a range of technical subjects with a focus on the major areas of AI – from natural language processing to robotics. You’ll identify and solve complex artificial intelligence software engineering problems and develop skills that are increasingly the mainstay of software engineering. The course is founded on strong traditional and cutting-edge software engineering know-how, such as programming, maths and statistical knowledge, as well as ethics, social responsibility and cognitive psychology. Working in teams, you’ll develop collaboration, negotiation and research skills that you’ll take with you to the professional environment.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: 3 years full time, 6 years part time, 2 years accelerated

This course helps you find and solve AI software problems. You’ll work on mastering industry-standard programming skills. And by collaborating in teams, you’ll develop negotiation, research, and professional skills. Co-developed with IBM.

Bachelor of Software Engineering (Artificial Intelligence)

Want to work in an industry that has huge growth potential and an ever-expanding scope? Choosing a career within the technology industry will put you at the forefront of the latest in tech innovation.The Undergraduate Certificate in Applied Technologies is your opportunity experience real world issues facing almost every industry today, such as automation, information security and data analysis. You’ll be introduced to contemporary technologies, learn how to design and build programs using the python language, explore how computer networks setup and customised for different industry needs, and you’ll learn how data management software can improve decision making and communication in your workplace.Advancing technologies over the past decade have significantly transformed the production, manufacturing, and related industries. In fact, its projected that demand for technology workers will grow by 100,000 between 2018 and 2024. Developed in consultation with industry experts, the Undergraduate Certificate in Applied Technologies is designed to give you the latest skills and knowledge to hit the ground running as you enter Australia’s booming technology industry.

Start building your foundational IT knowledge in networking and programming. Get thinking about your IT career and further studies. Pick the elective that points you in the right direction—computer science, hardware or business.

Undergraduate Certificate in Applied Technologies

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)

Start with programming fundamentals then explore advanced elective topics. Majors include data science and software development. Includes industry-based work integrated learning. Focus your honours year on a detailed study of your research problem.

Bachelor of Advanced Computer Science (Honours)

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

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.

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.

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.

This subject is designed to provide you with hands on practical experience developing software in a project environment. You work in teams and will complete projects from inception to implementation.
This subject includes a Work Integrated Learning (WIL) experience in which your knowledge and skills will be applied and assessed in a real or simulated workplace context and where feedback from industry and/ or community is integral to your experience.
As the project teams and projects will be assigned during the first week all enrolled students are advised to engage with the subject from the beginning of week 1.
Please note: This subject is considered to be a capstone subject for the Bachelor of Information Technology degree in which students demonstrate their competency in a (simulated) Work Integrated Learning (WIL) environment.
All students seeking the Bachelor of Information Technology award will need to complete this subject.

Progress a profession in programming. Get hands-on experience and work with teams developing software in a commercial project setting. Integrate formal project management methods. Track and manage project process from concept to implementation.

Programming Project

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.

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. 

This subject introduces the concepts of software design and development in the context of computer programming. You will learn how to design, manage, and evaluate projects that solve real-world applied technology problems through industry best practice and design methodologies. You will learn to design and build programs for applied technology using the Python language and how to apply programming practices in industry using concepts such as computational efficiency, coding best practice, interfacing, and documenting.

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

This subject is designed to provide you opportunity to gain knowledge and skills necessary to analyse, design and implement complex software engineering projects.
You should learn to analyse and design fairly complex real-life systems, working as teams. You are also made aware of current software engineering standards and processes. You are also taught to consider qualitative aspects including maintainability, extensibility, reusability and robustness in every stage of the software-engineering life-cycle. 
At the end of the subject you should be able to combine top-down and bottom-up approaches to software design and choose the most appropriate process considering the underlying technology, project duration, the level of risks and the customer expectations.

Navigate the quality, reusability and effectiveness of the software engineering lifecycle. Design, refine and assess complex systems. Be objective and develop solutions for actual problems. Use top-down and bottom-up design methods to find best fit.

Software Engineering Fundamentals

This subject provides an introduction to database design, implementation and management. Topics include data modelling, the relational model, SQL, logical and physical database design, database application design, transaction management, concurrency, recovery, security, database architectures and database administration. The theory material is complemented by practical work using common database management systems.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>.

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