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Associate Degree in Data Analytics

Undergraduate | 2026

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Mode
Mode
Your study is delivered 100% online
100% Online
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Start date
Start date
The month you will commence your studies. Exact start date is outlined in the course timetable.
January, April, June, September
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Duration
Duration
Duration is approximate and based on a full-time study load.
2 year(s) full-time
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Program code
XADDA
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Full time or part time
Fees
Indicative annual fees
Indicative annual fees
Commonwealth Supported students are charged a portion of the cost of their higher education through a student contribution. Fee-Paying programs require the full tuition fees of your study, which can be deferred partly or in full to a FEE-HELP loan. This is based on the total number of units studied for this program on an annual full-time basis.
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Prerequisite
Prerequisite
A prerequisite is a required course or/subject that you must have successfully completed before you can enrol into this program.
None
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Assumed knowledge
Assumed knowledge
Assumed knowledge, while not essential, is where you have a minimum level of understanding in the relevant course area.
None
Time commitment
Time commitment
Time commitment
We recommend that students dedicate 10-15 hours per week to each course, which includes time studying, engaging with learning resources, and completing assessments.
10-15 hours per week per course
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Entry requirements

Admission criteria

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.

Work and life experience

  • Completion of an Adelaide University approved enabling, pathway or bridging program; OR
  • A competitive result in the Skills for Tertiary Admissions Test (STAT); OR
  • Successful completion of an Adelaide University online literacy and numeracy test and have relevant work experience; OR
  • Qualify for special entry.
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Note:

Please note that entry requirements for this degree are provisional and subject to change.

Why Associate Degree in Data Analytics?

Jump-start your data analytics career with an industry-recognised qualification in just two years.   

With an associate degree, you’ll have the chance to quickly transition to a new data analytics career or advance if you’re already working in the sector. You’ll get up to date with the latest technology and software so you can hit the ground running when you graduate.  

There are diverse and promising career paths within data analytics, with room for growth and further specialisation. The field offers job security, impactful projects and opportunities to work with cutting-edge technology. You’ll gain a valuable qualification and the skills to step into a data analytics career with confidence.  

program overview

Overview

Our Associate Degree in Data Analytics is designed specifically for online learning and developed in partnership with industry. You’ll gain critical skills in problem-solving, mathematics and statistics. Put theory into practice in simulated work environments, explore real-world case studies and learn what it’s like to practice as a data analyst.  

You’ll benefit from our practical, hands-on approach to learning, accessing support from world-class academics and fellow students. You’ll hone your technical skills in fundamental areas of data analytics, while also considering your future university study. 

Gain foundational skills in programming, data mining, visualisation, database administration and cloud computing to take your place confidently in the growing data analytics industry. Look forward to a career where you’ll tackle new and complex problems every day – from machine learning algorithms to protecting computer networks. 

What you'll learn

Prepare for a career working with data with Adelaide University’s 100% online Associate Degree in Data Analytics.  

Our degree will give you the critical skills to collect, manage and convert raw data into useable information that can be interpreted and evaluated to help any organisation thrive.  

You’ll get started by learning the historical contexts of computing, including hardware structure, operating systems and basic programming concepts. These fundamentals of IT will benefit you across a range of future careers.  

You’ll use the latest tools and techniques for data acquisition and data cleaning. Learn how to create dynamic websites that query databases to retrieve information. Discover how to select data and the appropriate algorithms to generate insights. Explore real-world examples of cases that are relevant to industry and develop the skills necessary for data analytics professional practice.  

With the opportunity to select a specialised elective in first year, you’ll extend your knowledge to further areas aligned with data analytics. 

At Adelaide University, we also prepare you for university success and further study by introducing you to useful digital tools that will help you succeed in study. Flexible study hours and course materials also means you can study at your own pace – and when it suits you.  

What courses you'll study

Complete 96 units comprising:

  • 90 units for all Core courses, and
  • 6 units for Electives

Complete 90 units for ALL of the following:

Course name Course code Units
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Course name
UO Problem Solving and Programming
Course code
COMP1021
Units
6
course icon
Course name
UO Object Oriented Programming
Course code
COMP1023
Units
6
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Course name
UO Information Technology Fundamentals
Course code
INFO1020
Units
6
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Course name
UO Professional Practice in Data Analytics
Course code
INFO1023
Units
6
course icon
Course name
UO Data Driven Web Technologies
Course code
INFO1026
Units
6
course icon
Course name
UO Fundamentals of Mathematics for Data Analytics
Course code
MATH1033
Units
6
course icon
Course name
UO R for Data Analytics
Course code
MATH2018
Units
6
course icon
Course name
UO Applied Data Structures
Course code
COMP2026
Units
6
course icon
Course name
UO System Requirements and User Experience
Course code
INFO1025
Units
6
course icon
Course name
UO Cloud Platforms
Course code
INFO2028
Units
6
course icon
Course name
UO Data Acquisition and Wrangling
Course code
INFO2029
Units
6
course icon
Course name
UO Database for the Enterprise
Course code
INFO2030
Units
6
course icon
Course name
UO Data Visualisation
Course code
INFO3017
Units
6
course icon
Course name
UO Predictive Analytics
Course code
INFO3018
Units
6
course icon
Course name
UO Mathematics Essentials in Data Analytics
Course code
MATH1034
Units
6

Course name Course code Units
Year 1
Course name
UO Data Driven Web Technologies
Course code
INFO1026
Units
6
Course name
UO Fundamentals of Mathematics for Data Analytics
Course code
MATH1033
Units
6
Course name
UO R for Data Analytics
Course code
MATH2018
Units
6
Course name
Course code
-
Units
6
Year 2
Course name
UO Data Visualisation
Course code
INFO3017
Units
6
Course name
UO Predictive Analytics
Course code
INFO3018
Units
6
Course name
UO Applied Data Structures
Course code
COMP2026
Units
6
Course name
UO Cloud Platforms
Course code
INFO2028
Units
6

Complete 6 units for either of the following:

Course name Course code Units
course icon
Course name
UO Critical Approaches to Online Learning
Course code
SOCI3014
Units
6

Course name Course code Units
Year 1
Course name
UO Data Driven Web Technologies
Course code
INFO1026
Units
6
Course name
UO Fundamentals of Mathematics for Data Analytics
Course code
MATH1033
Units
6
Course name
UO R for Data Analytics
Course code
MATH2018
Units
6
Course name
Course code
-
Units
6
Year 2
Course name
UO Data Visualisation
Course code
INFO3017
Units
6
Course name
UO Predictive Analytics
Course code
INFO3018
Units
6
Course name
UO Applied Data Structures
Course code
COMP2026
Units
6
Course name
UO Cloud Platforms
Course code
INFO2028
Units
6
How to Apply

How to apply

Applications are open for Australian students to study at Adelaide University in 2026.

Your study experience and support

Studying 100% online with Adelaide University means joining a dynamic community of learners – all supported by dedicated teams committed to your success. From day one to graduation, you’ll have access to comprehensive academic, student and technical support teams to ensure you get the most out of your online learning journey.  

Student support services 

Need help with enrolments, managing your study load, or setting your academic goals? Our student support team is here to assist. They’re your first point of contact for advice and are available seven days a week, including out-of-hours and on weekends. Get the help you need – when it suits you. 

As an online student, you’ll also have access to our specialised on-campus student support services. Whether you’re looking for career advice, health and wellbeing support, international student assistance, accessibility services, or something else, we’ve got you covered. Visit the Support webpage to explore the services available.  

Online academic support 

From understanding course content to tackling assignments, writing, and referencing, our expert academics are here to guide you. Available seven days a week, they’ll provide personalised support to help you progress through your studies. 

Tech support 

We’ve got your back when it comes to technology. Our IT support team is available 24/7 to resolve any tech challenges you might face. With fast response times and tailored solutions, we’ll ensure nothing stands in your way. You’ll also enjoy free access to software downloads required for your program.

Study hours

Adelaide University’s 100% online programs offer the flexibility to fit your lifestyle. You can engage with course materials at any time that works for you – there’s no need to log in at set times. To stay on track, we recommend setting aside 10 to 15 hours per week for each course, but you can adapt your schedule and your study load to suit your needs. 

Assessment

All assessments, including exams (if required) are conducted 100% online – so you’ll never need to travel to submit an assignment or sit an exam. Depending on your program, your assessments might include: 

  • An industry-relevant project or case study 
  • An online presentation 
  • Essays and reports.