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

The course will develop your IT skills, with subjects including programming, data and networking, cloud computing, software engineering and cybersecurity principles. Our human-centric design focus makes this course unique and, upon graduating, you’ll possess the ability to apply cybersecurity principles towards developing ICT solutions that consider ethical and social responsibilities.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 year full time, 2 years part-time.

Work on core IT skills to meet the Australian Computer Society’s standards. You’ll cover programming, networking, and cloud computing. Deep-dive into cybersecurity principals. Get to know current attack vectors and security measures. Work in IT.

Diploma of Cybersecurity

Automation and artificial intelligence are rapidly evolving. By 2030, nearly half of all industries are anticipated to be transformed by automation, requiring the professional upskilling of current workers.Cyber security is a significant issue for organisations and governments around the world, with major incidents costing millions of dollars every year. Cyber resilience is critical and relies on a cyber-savvy work force that can assess cyber risk, meet privacy and security regulations, and protect sensitive systems and customers from attacks, both within traditionally technical roles and more broadly. The Diploma of Applied Technologies (Cyber Security) aims to prepare graduates to become dynamic, creative and adaptable practitioners with the skills and knowledge to make valuable contributions to organisational resilience through applying cyber security tools.On completion of this qualification, you will be able to:* Apply skills in IT, cybersecurity, digital manufacturing and/or automation to contemporary industry practices* Commence employment or enhance career opportunities* Transition to further study, leadership and managementYou will learn the contemporary technological skills to meet the changing job market and learning will be contextualised to Cyber Security.

Learn about online risks and threats and gain skills in contemporary technology. Prepare for a career in cyber security. Help organisations and government bodies become more resilient to cyber threats.

Diploma of Applied Technologies (Cyber Security)

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

Artificial Intelligence (AI) is all around us; it’s changing the way we see the world, not only creatively in technical areas but across a variety of industries. Understanding how AI works and what benefits it can have can put you in the forefront in the job market. Within this program you will learn to implement AI algorithms and techniques using high-level programming languages to solve real-world problems. At UniSQ you can benefit from our extensive connections with industry partners and gain work-integrated learning experience during a final-year capstone course.

Learn to mine data, create database systems, and feed AI algorithms. You’ll study programming, maths and networks. Cover statistical concepts. Think about AI solutions for real world problems. Grow your professional skills. Get real industry experience.

Bachelor of Information Technology (Artificial Intelligence and Data Science)

La Trobe’s Bachelor of Cybersecurity offers you the opportunity to step into the rapidly evolving digital world of cybersecurity.You’ll build a highly specialised technical skillset as you learn about the history of hacking, build your coding expertise, and access industry-based projects and mentoring opportunities with major corporations.You’ll also have the opportunity to complement your industry-focused learning with a choice of elective subjects, which are available to you.You&#39;ll learn:<ul><li>Cybersecurity fundamentals<ul><li>Learn the basic principles and best practices of cybersecurity. Understand how it mitigates cyber vulnerabilities and protects confidential information.</li></ul></li><li>Ethical hacking and defence<ul><li>Gain evaluation techniques to assess the security of network configuration and apply these skills to defend against network-based threats.</li></ul></li><li>Programming and cyber algorithms<ul><li>Explore the widely used Python programming language and learn how algorithms are used to solve cybersecurity challenges.</li></ul></li><li>Network engineering<ul><li>Study the architecture of computer networks and the internet, and examine protocols and services used in the defence of online information.</li></ul></li><li>Cyber governance and risk management<ul><li>Learn the frameworks for cybersecurity governance and risk mitigation based on your emerging understanding of business strategy and risk appetite.</li></ul></li></ul>

Discover how to safeguard businesses from digital threats. This course covers both IT fundamentals and cyber security techniques, so you can pursue opportunities across the ICT sector. You will also learn Python, one of the most used programming languages.

Bachelor of Cybersecurity

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

Study the Artificial Intelligence and Machine Learning specialisation with UniSQ and explore concepts regarding deep learning, natural language processing, information retrieval and knowledge management. In an increasingly data driven world, it&#39;s critical that we can use information retrieval technologies and systems to query and retrieve useful information to support advanced data analytics and inform high-level decision-making. Explore concepts and learning within big data management, machine learning and data mining to ensure you have the knowledge for a career in this dynamic industry.

Master of Data Science (Artificial Intelligence and Machine Learning)

Looking for a career in the dynamic world of IT? The Diploma of Information Technology is an excellent place to start. Combining foundation IT units with academic skills units, this course has a focus on developing technical skills and knowledge with a clear pathway to a Bachelor degree.Successful completion of the Diploma of Information Technology will enable entry and up to eight units of credit towards the Southern Cross Bachelor of Information Technology.The Diploma of Information Technology is offered through SCU College, where we recognise our students may have different approaches to learning. We connect you to peers and nurture your success with additional workshops to develop your academic and study skills.

Thinking about a career in programming, web development, or technical support? Start with this online IT course that covers essentials like cybersecurity and computer networks. You’ll also work on learning skills during this pathway to a Bachelor of IT.

Diploma of Information Technology

Information technology and computing increasingly define how the world operates. Software permeates every area of modern living, from the smallest personal device to automating  entire industries. Information Technology professionals are responsible for designing the software that runs so much of our lives, and for creating systems that handle and analyse incredible amounts of data.
The Diploma in Information Technology is a one-year full-time (or equivalent part-time) course that will provide students with a foundation in computing, and the flexibility to take on more advanced and specialised topics - be that specific technical skills, professional skills, or mathematical areas related to modern computing.
This degree is designed for students seeking an introduction to study in information technology or looking to grow their computer science, data science, or mathematical skills. It aims to give students new to the field a solid grounding in fundamental principles of computer science as well as the flexibility to fill in their mathematical or data science skills depending on their background and intended destination. It also aims to give more experienced students a compact means to access introductory and intermediate units in information technology, computer science, and data science, in order to extend their skills in areas that are relevant to their career.

Your journey to becoming an IT professional starts here. Start with core subjects in programming. Then explore advanced topics including web, data science, and database management. Get the technical and professional skills needed in today’s IT careers.

Diploma in Information Technology

Study Information Technology On Demand with UniSA Online and take full control over your study. Access support seven days a week, plan your study to fit around your life, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Gain a nationally recognised university qualification aligned to growing industry demand for skilled IT professionals, focused on building core programming, computing and cloud platform proficiencies. You’ll graduate with an in-demand skillset relevant to a diverse range of careers in the growing information technology and communications sector. Designed and delivered by an academic team with strong connections to industry, the Undergraduate Certificate in Information Technology provides a valuable foundation for the next step in your career, or a seamless pathway to further study across data analytics, STEM, business, and more.

Unlock tech careers and further study pathways with this short online IT course. Cover computing fundamentals like programming and the cloud. Get to know hardware. Practice design thinking. Study IT online and learn with industry experts. 

Undergraduate Certificate in Information Technology

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Cyber Security Analytics: Transform

In the modern Internet era, industries and organisations need to be prepared to defend against cyber threats and attacks. Stakeholders should be familiar with basic principles and best practices of cybersecurity to protect their businesses and personal information. In this subject, these principles and strategies for future cyber security are explored. Key topics include: information security; ethical and legal practices; mitigating cyber vulnerabilities; and the process of incident response and analysis. The subject introduces the broad discipline of cybersecurity and outlines how to ensure the privacy, reliability, confidentiality and integrity of information systems and mitigate against cyber threats and risks.

Explore the basic principles of cybersecurity. Get familiar with industry terminology, software, and best practices. You’ll learn about the importance of protecting data. Study real-world cyber threats and delve into current solutions.

Introduction to Cybersecurity

In this subject you are introduced to the steps involved in designing and creating a software solution to simple real-life problems. To enable students to design a program, the subject introduces the way to break down the problems into smaller parts and analyse them methodically by using simple techniques such as drawing flowcharts. You will be introduced to the Python programming language as a means of creating executable program code to implement working software solutions.

Programming Environment

Gain a solid foundation in mathematical and statistical concepts essential for mastering data analytics.This course covers key topics such as linear algebra concepts, vector and matrix operations, and the fundamentals of eigenvalues and eigenvectors. Explore dynamical systems and optimisation techniques, including gradient descent. Dive into linear regression, probability concepts—such as probability laws, Bayes&#39; rule, and independence—and selected probability distributions. Learn the principles of statistical inference and how to apply them effectively to data analytics.This is a first-year course from UniSA Online’s Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1080, MATH 2032 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.

Mathematics Essentials in Data Analytics

Build a strong mathematical foundation for your data analytics journey with our comprehensive course.Explore essential topics including arithmetic and algebraic operations, linear and quadratic equations, and logarithmic and exponential functions. Dive into matrices and determinants, and master absolute values, inequalities, and sets. Gain a solid grounding in basic probability and statistics to support your data analytics skills.Join us to develop the mathematical skills needed to excel in data analytics and unlock new opportunities for data-driven insights!This is a first-year course from UniSA Online’s Data Analytics 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. 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.

Fundamentals of Mathematics for Data Analytics

Enhance your skills in applying supervised, unsupervised, and deep machine learning techniques to solve real-world data analytics challenges.In this course, you&#39;ll explore linear regression, regularisation, and logistic regression, and delve into advanced neural network architectures and learning techniques. Gain expertise in convolutional and recurrent neural networks, including long short-term memory (LSTM) networks. Learn practical applications of machine learning, including clustering, dimensionality reduction, anomaly detection, and large-scale machine learning.UniSA Online’s 10-week short courses give you the flexibility to up-skill 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 Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFS 3081, INFS 3076 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.

Machine Learning

Equip yourself with the skills to effectively interact with large structured and unstructured data sets in our comprehensive course.Explore critical topics such as concurrency and transaction management, data organisation, hashing, indexing, and query optimisation. Learn about active databases and procedures, distributed database design, fragmentation, and replication. Master the intricacies of distributed transactions and delve into the architecture and components of data warehouses.Understand data warehouse modelling, including star and snowflake schemas, and gain proficiency in multidimensional Online Analytical Processing (OLAP) and relational OLAP analysis. Learn to design data warehouses and manage data uploading, updating, and integration.UniSA Online’s 10-week short courses give you the flexibility to up-skill 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 second-year course from UniSA Online’s Bachelor of Data Analytics. When studying this course as a &quot;single subject&quot;, prior knowledge from INFT 1032 , INFT 1025 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.

Database for the Enterprise

Unlock the potential of cloud computing to transform your organisation&#39;s IT infrastructure with our course on cloud concepts and AWS core services.Gain an understanding of cloud models, including IaaS, PaaS, and SaaS, and explore the AWS Global Infrastructure. Delve into cloud security with Identity and Access Management (IAM) and security policies. Understand the differences between virtual private clouds (VPC) and public clouds, and master the architectural principles of cloud computing.Discover core AWS services such as EC2, Lambda, and S3, while also exploring additional cloud service offerings from Azure and Google Cloud. Learn how to leverage these powerful tools to enhance your organization&#39;s IT capabilities.This is a second-year course from UniSA Online’s Information Technology 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. 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.

Cloud Platforms

Master the art of constructing dynamic websites that seamlessly retrieve data from databases with our course.Dive into the essentials of relational databases and structured queries, and learn the fundamentals of database design. Explore key web technologies and architectures that enable the creation of dynamic websites. Gain practical experience in integrating web technologies to build responsive, data-driven web applications.This is a first-year course from UniSA Online’s Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from COMP 1043, INFT 1024 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.

Data Driven Web Technologies

Embark on a journey to master the essential networking concepts and technologies needed to design and implement small to medium-sized networks.Gain a comprehensive understanding of network topologies, devices, and characteristics tailored for small to medium-sized environments. Explore the basics of network protocols and communications, and dive into the OSI and TCP/IP networking models. Learn about the functions and standards of the physical layer, network media, data link layer, media access control, and Ethernet.Understand network layer protocols and the fundamentals of routing, as well as the roles and protocols of the transport layer. Get proficient in IP addressing and subnetting, and familiarise yourself with application layer protocols and services. Delve into considerations for network design, basics of network security, and network management, along with the essentials of network operating systems and configuration of networking devices.This is a second-year course from UniSA Online’s Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFT 1024 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.

Network Fundamentals

Develop the skills to analyse business information security needs and establish a resilient corporate technology posture with our comprehensive course.Gain expertise in security governance and familiarise yourself with the NIST framework and ISO 27001 standards. Learn to conduct organisational risk assessments focused on corporate information assets and understand the business impact of security compromises. Master the essentials of access control, data security, maintenance, and protective technologies.Delve into continuous security monitoring, identify anomalies and events, and develop robust information technology policies and procedures. Learn effective communication strategies to ensure all stakeholders are informed and aligned in improving corporate technology resilience.This is a third-year course from UniSA Online’s Information Technology degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFS 3086 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.

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