
Data analytics courses
Gain data analytics skills that will land you opportunities everywhere
Help me choose a courseIntroduction to Data analytics
Today’s world is driven by data. It plays a crucial role in just about every industry—from business to health to elite sport.
As a data analytics professional, you’ll play a valuable role inside organisations. You’ll have the skills to extract insights from data and work on projects that solve problems, drive value, and improve all kinds of products and services.
After graduating from an online data analytics course, you’ll be armed with knowledge of programming languages such as R and Python, data visualisation skills, and the ability to ask critical questions about big datasets.
Start comparing data analytics courses online today with Open Universities Australia.
Explore data analytics courses
Discover data analytics courses
Online data analytics subjects and short courses
Professional training
AXI-DA-T- Duration:
- From 12 weeks
- Price:
- From $8,999
- Start dates:
- Any time
Fundamentals of Mathematics for Data Analytics
Undergraduate
USA-MATH1080- Study method
- 100% online
- Entry requirements
- No ATAR required. Start with a subject.
- Start dates
- Starts 22 Sep 2025
Undergraduate
LTU-BUS1DIB- Study method
- 100% online
- Entry requirements
- No ATAR required. Start with a subject.
Mathematics Essentials in Data Analytics
Undergraduate
USA-MATH1081- Study method
- 100% online
- Entry requirements
- No ATAR required. Start with a subject.
Undergraduate
TAS-ZAB114- Study method
- 100% online
- Entry requirements
- No ATAR required. Start with a subject.
- Start dates
- Starts 21 Jul 2025
Online data analytics degrees
Undergraduate
USA-BDA-DEGTransform data into meaningful insight
- Study method
- 100% online
- Duration
- 3 years full time or part time equivalent
Graduate Certificate in Sports Analytics
Postgraduate
ACU-SPA-GCEData skills to optimise high performance sport
- Study method
- 100% online
- Duration
- 6 months full time or part time equivalent
Bachelor of Business (Business and Data Analytics)
Undergraduate
SCU-BDA-DEGData skills for the dynamic world of business
- Study method
- Online & on-campus
- Duration
- 3 years full time or part time equivalent
Bachelor of Business (Business Analytics)
Undergraduate
TAS-BBA-DEGLead decision-making using data
- Study method
- 100% online
- Duration
- 3 years full time or part time equivalent
- Entry requirements
- No ATAR required. Start with a subject.
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Data analytics study FAQs
Why should I study data analytics?
Data is one of the most powerful tools businesses and governments use to make decisions. It’s collected in all sorts of ways, from rewards programs at your local grocery store to Australia’s national census.
With so much data available, it’s critical there are people who understand data and how to interpret it.
There are plenty of good reasons to study data analytics right now. Here are just a few:
Data analysts are in high demand. Jobs are projected to keep growing strongly, meaning your employment outlook is very good.
Data analysis is a highly transferable skill that you can use across various industries, so it’s a great specialty to have on your resume.
Along with highly in-demand technical skills, a course in data analytics will help you develop sound reasoning skills and understand the nuances of data ethics.
What skills will I learn in a data analytics course?
It varies depending on your exact data analytics online course, but what you cover may include:
Data security
Ethics
Predictive analysis
Cloud computing
Machine learning
Artificial intelligence
Computing languages like Python and R
Modelling and manipulating data sets
What software and tools will I learn how to use in a data analytics course?
You’ll be introduced to lots of useful tools, software, and programming languages in your online data analytics course, which you’ll apply when working in the industry.
These may include:
R
Python
SQL
Excel
Tableau
SAS
What is the difference between a data analytics and data science course?
Data analytics and data science are related—but not quite the same thing.
Data science is wider in scope and includes things like using machine learning and building predictive models to forecast future trends.
Data analytics, however, is a more specific task and profession that sits within the field of data science. It refers to the extraction of insights from data.
Do I need to know programming to study data analytics?
If you don’t have a programming background, don’t worry. You will learn about programming languages in your data analytics course. If you do already have some programming knowledge, though, this will come in handy.
How long is a data analytics course?
It depends on the course and whether you choose something short or long-term. Here’s a general guide:
Course | Duration |
---|---|
Single subject | 10-18 weeks |
Short course | 10-18 weeks |
Undergraduate certificate | 6 months (if full time) |
Diploma | 1 year (if full time) |
Associate degree | 2 years (if full time) |
Bachelor degree | 3 years (if full time) |
Graduate certificate | 6 months (if full time) |
Graduate diploma | 1 year (if full time) |
Masters degree | 2 years (if full time) |
If you study a degree in data analytics through Open Universities Australia, you have the flexibility to choose how many subjects you take per term. This means you can complete your qualification at a faster or slower pace than you would on campus.
Which data analytics course is best for me?
If you’re having trouble choosing between online data analytics courses, take our 2-minute quiz to get matched with the courses that suit your interests, study goals and education history.
Or book a free phone consultation with a student advisor to discuss available study options.
What career opportunities can I explore after studying data analytics?
Data analysts are in high demand in almost every industry, across both the private and public sectors. As a data analyst, you might work in:
FMCG (Fast-moving consumer goods)
eCommerce
Energy
Finance
Insurance
Healthcare
Logistics
Manufacturing
You will be qualified to take on a role as a:
Information and reporting analyst
Systems analyst and administrator
Market research analyst
Financial analyst
How do I know if I’m eligible to apply for a course?
Before starting an enrolment, it’s important to read the entry requirements for your chosen course to ensure that you’re eligible to apply. If you don’t quite meet the requirements, we may be able to help you find a pathway into your course.
Chat with us to find out more.
How do I enrol?
Enrolling online is simple. Here’s how it works:
1. Find your course
Browse the options on this page.
Use our comparison tool to explore the different choices.
Need help? Book a free phone consultation with a student advisor for personalised guidance.
2. Start your enrolment
When you’re ready, click ‘Start studying now’ on the course page.
Follow the prompts to begin your enrolment.
You’ll need to provide supporting documents, such as:
Proof of identity
Your tax file number
3. Wait for confirmation
Your chosen university will email you to confirm if your enrolment has been successful.
Note: Some courses have enquiries and applications handled directly by the university. If this applies, it will be clearly stated on the course listing page.
For more details, check our online self-service enrolment guide. And if you need help at any stage, contact us and we’ll talk you through it.
What if I’m not sure about data analytics?
A great way to find out is to enrol in a single data analytics subject. You can give the field a test run, without committing to a full qualification.
Otherwise, we recommend browsing these closely related study areas. They’re broken down by interest, so you can quickly find what appeals to you most:
I want to... | We recommend exploring... |
---|---|
Work with big data and artificial intelligence to predict trends | |
Lead a data team and make strategic decisions | |
Examine data patterns using scientific methodologies | |
Lead a business data project | |
Work on the creative projects that are guided by data insights |
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