100% Online

Bachelor of Data Analytics

Undergraduate | 2026

Degree hero banner
Mode icon
Mode
Mode
Your study is delivered 100% online
100% Online
Start date icon
Start date
Start date
The month you will commence your studies. Exact start date is outlined in the course timetable.
January, April, June, September
Duration icon
Duration
Duration
Duration is approximate and based on a full-time study load.
3 year(s) full-time
Program code icon
Program code
XBDAN
Study as icon
Study as
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.
Prerequisites icon
Prerequisite
Prerequisite
A prerequisite is a required course or/subject that you must have successfully completed before you can enrol into this program.
None
Assumed knowledge icon
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
Eligibility code
Check your eligibility
Answer a few short questions to determine your eligibility
  1. Brochure download icon
  2. Enquire enquire icon
  3. Apply arrow-right-white icon

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.
alt
Note:

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

Why Bachelor of Data Analytics?

Got a head for numbers? Excel in the fast-paced world of big data and build a rewarding career with this 100% online degree.  

Turn your passion into a lucrative career leading data-driven solutions for businesses, leveraging the global demand for professionals who can turn data into valuable insights. 

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.   

program overview

Overview

Our online data analytics degree is an opportunity to propel yourself into the booming field of data science. Take advantage of the strong demand for professionals who can transform large sets of data into meaningful insights. Use your skills to make informed decisions, drive business growth and increase competitive advantage. 

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.   

What you'll learn

Our Bachelor of Data Analytics focuses on innovative and future-focused trends emerging across the growing data analytics sector. Build advanced knowledge and skills employers are looking for and join an in-demand field.  

Explore foundational topics across data analytics, complemented by key courses in information technology, maths and statistics. Discover specialist courses aligned to contemporary practice and become proficient in the tools and techniques used by industry professionals, such as R language, Tableau and Snowflake’s Data Cloud. Learn how to use cloud-hosting platforms to inform strategy, along with digital infrastructure and software including Amazon Web Services (AWS), Azure and Google Cloud. Maximise your employability with valuable skills in social media analytics, machine learning, artificial intelligence and predictive analysis.  

Study diverse range of topics during your degree, including:  

  • Problem solving and programming  
  • Machine learning  
  • Big data in the cloud  
  • Data visualisation  
  • Data acquisition and wrangling  
  • Professional practice in data analytics  
  • Data driven web technologies.  

Our practical, hands-on approach to learning means you’ll gain real-world experience. Complete a capstone project where you’ll collaborate with an organisation to solve a real business challenge and deliver a data-informed solution.  

Graduate with the highly sought-after communication skills you’ll need as data analytics professional. You’ll be prepared to present ideas and reports to stakeholders across all levels of an organisation. 

What courses you'll study

Complete 144 units comprising:

  • 132 units for all Core courses, and
  • 12 units for Electives

Complete 132 units for ALL of the following:

Course name Course code Units
course icon
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
course icon
Course name
UO Information Technology Fundamentals
Course code
INFO1020
Units
6
course icon
Course name
UO Professional Practice in Data Analytics
Course code
INFO1023
Units
6
course icon
Course name
UO System Requirements and User Experience
Course code
INFO1025
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 Mathematics Essentials in Data Analytics
Course code
MATH1034
Units
6
course icon
Course name
UO Applied Data Structures
Course code
COMP2026
Units
6
course icon
Course name
UO Experimental Design
Course code
INFO2027
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 R for Data Analytics
Course code
MATH2018
Units
6
course icon
Course name
UO Capstone Project 1
Course code
INFO3013
Units
6
course icon
Course name
UO Capstone Project 2
Course code
INFO3014
Units
6
course icon
Course name
UO Machine Learning
Course code
INFO3016
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 Advanced Topics in Data Analytics
Course code
INFO3022
Units
6
course icon
Course name
UO Big Data in the Cloud
Course code
INFO3023
Units
6
course icon
Course name
UO Text and Social Media Analytics
Course code
INFO3024
Units
6

Course name Course code Units
Year 1
Course name
UO Problem Solving and Programming
Course code
COMP1021
Units
6
Course name
UO R for Data Analytics
Course code
MATH2018
Units
6
Course name
UO Data Driven Web Technologies
Course code
INFO1026
Units
6
Course name
UO Object Oriented Programming
Course code
COMP1023
Units
6
Year 2
Course name
UO Database for the Enterprise
Course code
INFO2030
Units
6
Course name
UO System Requirements and User Experience
Course code
INFO1025
Units
6
Course name
UO Data Visualisation
Course code
INFO3017
Units
6
Course name
UO Predictive Analytics
Course code
INFO3018
Units
6
Year 3
Course name
UO Capstone Project 1
Course code
INFO3013
Units
6
Course name
UO Machine Learning
Course code
INFO3016
Units
6
Course name
UO Capstone Project 2
Course code
INFO3014
Units
6
Course name
UO Advanced Topics in Data Analytics
Course code
INFO3022
Units
6

Complete 12 units comprising:

Course name Course code Units
Year 1
Course name
UO Problem Solving and Programming
Course code
COMP1021
Units
6
Course name
UO R for Data Analytics
Course code
MATH2018
Units
6
Course name
UO Data Driven Web Technologies
Course code
INFO1026
Units
6
Course name
UO Object Oriented Programming
Course code
COMP1023
Units
6
Year 2
Course name
UO Database for the Enterprise
Course code
INFO2030
Units
6
Course name
UO System Requirements and User Experience
Course code
INFO1025
Units
6
Course name
UO Data Visualisation
Course code
INFO3017
Units
6
Course name
UO Predictive Analytics
Course code
INFO3018
Units
6
Year 3
Course name
UO Capstone Project 1
Course code
INFO3013
Units
6
Course name
UO Machine Learning
Course code
INFO3016
Units
6
Course name
UO Capstone Project 2
Course code
INFO3014
Units
6
Course name
UO Advanced Topics in Data Analytics
Course code
INFO3022
Units
6
How to Apply

How to apply

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

Not sure if you'll meet the entry requirements? Adelaide University offers a range of pathway options to help you start your study journey.

Explore Pathways

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.