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Study associate degree online with Adelaide University through Open Universities Australia. Explore all degrees, subjects and short courses now.

Gain an industry-recognised qualification in just two years and jump-start your data analytics career with Adelaide University’s 100% online Associate Degree in Data Analytics. Whether you’re starting out or looking to upskill, learn the latest industry tools and graduate ready to step into a dynamic and growing field.Develop the skills to turn raw data into powerful insights, and learn how to collect, manage, and analyse information to help any organisation grow and thrive. Discover how to use the latest tools and techniques for data cleaning and data acquisition, and how to select data and algorithms to generate insights.Learn problem-solving, maths, and statistics, and apply your knowledge in simulated work environments. Explore real-world case studies and experience what it’s like to work as a data analyst. Get up to date with the latest technology and software, ready to succeed when you graduate.

Launch your data career in just two years. You’ll cover programming, database design, and data analysis. Explore real-world case studies and gain hands-on experience. Graduate job-ready for entry-level roles – or continue to study with credit.

Associate Degree in Data Analytics

Data and Analysis

Data Analytics Concepts

Business Intelligence

Scientific Computing

Data Analytics for Cyber Security

Data Visualisation

Data-Based Critical Thinking

HR Analytics

Professional Practice in Data Analytics

Disruption in Business

In today&#39;s world, good decision-making relies on data and data analysis. This course helps students develop the understanding that they will need to make informed decisions using data and to communicate the results effectively. The course is an introduction to the essential concepts, tools and methods of statistics for students in business, economics and similar disciplines, although it may have wider interest. The focus is on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. Much of the work will require students to write effectively and communicate their ideas with clarity. The course covers two main branches of statistics: descriptive statistics and inferential statistics. Descriptive statistics includes collecting data and summarising and interpreting them through numerical and graphical techniques. Inferential statistics includes selecting and applying the correct statistical technique in order to make estimates or test claims about a population based on a sample. Topics covered may include descriptive statistics, correlation and simple regression, probability, point and interval estimation, hypothesis testing, multiple regression, time series analysis and index numbers. Students will also develop some understanding of the limitations of statistical inference and of the ethics of data analysis and statistics.

Data Analytics I

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 Adelaide University&#39;s Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1033, MATH 2018 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 Adelaide University&#39;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

The aim of this course is to explore and apply text and social media analytic methods and tools.Topics covered in this course include: principles of text analytics, information retrieval; acquiring data from social media; content analysis, sentiment analysis; using text analytics methods; and analysing social media-sourced text data to address a business question.Adelaide University&#39;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 Adelaide University&#39;s Bachelor of Data Analytics. When studying this course as a &quot;single subject&quot;, prior knowledge from INFO 2029 and INFO 3018 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.

Text and Social Media Analytics

This course aims to extend the knowledge and skills in applying a range of advanced data analytics techniques and integrate responsibility into the systems they design, build and deploy. Adelaide University&#39;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. Delivered 100% online, you&#39;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 third-year course from Adelaide University&#39;s Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course. 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.

Advanced Topics in Data Analytics

Effective data visualisation is the crucial final step of data analysis. Data visualisation communicates relationships within the data with visual images, which allows your stakeholders to gain insights and easily identify patterns and trends. Through this course, you’ll discover some of the common ways data visualisations are applied in a range of organisations while gaining the skills to use common visual analytics software. Adelaide University&#39;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.  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 third-year course from Adelaide University&#39;s Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course.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.

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.Adelaide University&#39;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 Adelaide University&#39;s Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFS3018 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

The use of data in management decision making is essential for organisations of all sizes to be able to uncover and respond to opportunities and threats. The fields of business intelligence and analytics (including data mining) have consistently been top investment priorities, and with the new capacities of self-serve, visualisations and cloud-based (web-based) technologies, organisations are becoming even more information rich. The course explores how professionals can use information systems and business intelligence to conduct an analysis of business operations and performance for enhanced decision making. Be introduced to concepts, processes and technologies in business intelligence and business analytics, and learn to use selected analytics, to interpret solutions for business-related problems and provide relevant business advice.  This is a great course for those who have not had experience with business intelligence, and who don’t come from a technical background.  Adelaide University&#39;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 Adelaide University&#39;s Bachelor of Data Analytics degree. When studying this course as a &quot;single subject&quot;, prior knowledge from MATH 1028 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.

This course will provide you with fundamental knowledge, terminology, and experiences to develop an understanding of the professional practices to work in the data analytics industry. You’ll be introduced to the five phases of the data analytics process, privacy, cultural sensitivity, and artificial intelligence and machine learning. Develop your data analysis, interpretation, and processing skills in this 10-week course. Adelaide University&#39;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.  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 Adelaide University&#39;s Bachelor of Data Analytics degree. Please note: you are responsible for completing any relevant prerequisite courses before enrolling in this course.

HR analytics is the process of collecting and analysing HR data to improve an organisation’s workforce. In this course, you’ll learn how HR data can be used to measure how HR initiatives are contributing to the organisation’s goals and strategies. Learn the basic concepts, processes and tools that are used to identify commonly encountered HR issues. Gain the skills to evaluate information using basic statistical analysis. You’ll also explore ethical issues and future trends associated with HR analytics. Adelaide University&#39;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 Adelaide University&#39;s HR degree. When studying this course as a &quot;single subject&quot;, prior knowledge from INFO 2022, 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.

Adelaide University Associate Degree Data analytics Courses & Degrees | Open Universities Australia

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