Overview

Throughout the Data Analytics (Online) course from Adelaide University you’ll develop a sought-after data analytics skillset strengthened by core information technology and statistics knowledge, and complemented by hands-on experience and practical learning opportunities. Graduate with the skills to interpret big data, engineer advanced solutions to complex challenges and apply your versatile qualification to the digital roles of tomorrow.

From data visualisation and cloud computing to data mining and database administration, you’ll gain a holistic understanding of data analytics and its role in modern business. Enhance your knowledge of big data by honing your critical programming, maths and statistics skills and complete specialised courses examining data analytics in social media, digital marketing and sales patterns.

Study a curriculum designed in collaboration with industry and strengthened by practical experience and real-world case studies. Graduate with a highly competitive skillset aligned to current demand and informed by the latest industry innovations.

Career opportunities:

A career in data analytics is flexible, fast-paced, and transferrable to a range of global industries. As businesses harness data to remain competitive, demand for data analysts to effectively extract, translate, visualise, and communicate these insights is soaring.

Data analytics is not just reserved for big tech giants. Data analysts are required in almost every industry – including in health, education, retail, telecommunications, financial services and management consulting. This means your degree will open a world of career possibilities.

You could pursue a career as a data scientist, generating insights from data sets to guide high-level strategies for global organisations. Maybe you’ll work as a data architect, working with new technologies to capture and optimise data across healthcare, retail or the financial sector.

You could also pursue the following careers:

Business intelligence strategist
Information analyst
Data visualisation specialist
Market research analyst
Financial analyst
Machine learning engineer
Healthcare data analyst
Statistician
Big data architect.

Programme Structure

Courses include:

Machine Learning
Data Visualisation
Predictive Analytics
Advanced Topics in Data Analytics
Big Data in the Cloud
Text and Social Media Analytics

Key information

Duration

Full-time
- 36 months

Start dates & application deadlines

Starting 2026-09-21 00:00:00
- Apply before 2026-06-21 00:00:00 , International
Starting 2027-01-12 00:00:00
- Apply before 2026-10-12 00:00:00 , International
Starting 2027-04-06 00:00:00
- Apply before 2027-01-06 00:00:00 , International
Starting 2027-06-29 00:00:00
- Apply before 2027-03-29 00:00:00 , International

More details

International students can apply at any time, but should submit their applications at least three months before the intended program start date.

Language

English

PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Credits

144 alternative credits

Delivered

Online

Campus Location

Gawler, Australia

Disciplines

Data Analytics View 8 other Bachelors in Data Analytics in Australia

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

CRICOS code: 04249J

To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.

Secondary education (Year 12)

Completion of a secondary education qualification equivalent to the South Australian Certificate of Education (SACE).

Vocational Education and Training (VET)

Completion of an award from a registered training organisation (RTO) at Certificate IV (AQF level 4) or higher.

Higher education study

Successful completion of at least 6 months full-time study (or equivalent part-time) in a higher education award program.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

28500 AUD / year

≈ 28500 AUD / year

Additional Details

National tuition - Commonwealth Supported

Funding

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Bachelor's scholarship opportunities for Data Analytics (Online).

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

Career opportunities:

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Additional Details

Funding

Scholarships Information

Available Scholarships

Our partners