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

Graduate with the qualification and skills to step into an IT career with confidence by studying with university ranked #3 in Australia for work-ready graduates in IT.1Our expert academics built the degree specifically for 100% online learning, so you’ll have full control and can plan your study to fit around your life.UniSA has 30+ years of experience delivering online and distance education and it shows. We use innovative digital technology, state-of-the-art teaching and learning resources, and extensive academic and tech support systems.You’ll be able to access support seven days a week, view learning resources 24/7, and log into our interactive online environment to learn anywhere, any time and on any device.1 ComparED (QILT) Student Experience Survey 2019-20 – Computing and Information Systems – Skills Development Indicator (Undergraduate). Public universities.

A 100% online IT course. You’ll learn programming, computer hardware, and cloud concepts. You’ll also study cybersecurity and data analytics. Build your professional skills in problem solving and teamwork. Work on industry-relevant projects and systems.

Associate Degree in Information Technology

UniSA Online&#39;s Associate Degree in Data Analytics includes courses co-developed with industry, ask you to put theory into practice within simulated work environments, and explore real world case studies. That’s why UniSA is ranked #3 in Australia for work-ready graduates in IT.1 You’ll also have full control over your study with our 100% online Associate Degree in Data Analytics. Our expert academics have designed the degree specifically for online learning so you can plan your study to fit around your life. UniSA has 30+ years of experience delivering online and distance education and it shows. You can access support seven days a week, view learning resources 24/7, and log into our interactive online environment to learn anywhere, any time and on any device.Start your data analytics career with one of Australia’s largest online universities2 that’s #2 in Australia for quality education.3 1 ComparED (QILT) Student Experience Survey 2019-20 – Computing and Information Systems – Skills Development Indicator (Undergraduate). Public universities.2 Ranked 4th, 2020 Department of Education, Skills and Employment – Commencing Domestic Bachelor Degree Students (External).3 2021 THE University Impact Rankings

Get ready to take your place in Australia’s fast-growing data analytics industry. This 100% online data course is a great qualification to help you quickly transition into your new career or leap forward if you’re already working in the sector.

Associate Degree in Data Analytics

Introduction to Cybersecurity

Animation and Motion Graphics Design

Data and Analysis

Australia and Cyber Intelligence

Data Analytics Concepts

Technologies: Digital Solutions

Information Technology Fundamentals

Business Intelligence

Digital Design 1

Game Design Introduction

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.

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.

Risk Management and Governance

Associate Degree IT & computer science Courses & Degrees | Open Universities Australia

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