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.
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.
Key features
Gain an industry-recognised qualification in just two years of 100% online study. - Explore data visualisation tools as well as programs and techniques for data acquisition and cleaning.
- Learn how to collect, manage and convert raw data into useable information.
- Build a solid foundation in database design, R statistical software and cloud platforms.
- Explore the ethics of data collection and what it is to be a data analytics professional.
- Study courses co-developed with industry.
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 | |
|---|---|---|---|
|
Course name
UO Problem Solving and Programming
|
Course code
COMP1021
|
Units
6
|
|
|
Course name
UO Object Oriented Programming
|
Course code
COMP1023
|
Units
6
|
|
|
Course name
UO Information Technology Fundamentals
|
Course code
INFO1020
|
Units
6
|
|
|
Course name
UO Professional Practice in Data Analytics
|
Course code
INFO1023
|
Units
6
|
|
|
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
UO Applied Data Structures
|
Course code
COMP2026
|
Units
6
|
|
|
Course name
UO System Requirements and User Experience
|
Course code
INFO1025
|
Units
6
|
|
|
Course name
UO Cloud Platforms
|
Course code
INFO2028
|
Units
6
|
|
|
Course name
UO Data Acquisition and Wrangling
|
Course code
INFO2029
|
Units
6
|
|
|
Course name
UO Database for the Enterprise
|
Course code
INFO2030
|
Units
6
|
|
|
Course name
UO Data Visualisation
|
Course code
INFO3017
|
Units
6
|
|
|
Course name
UO Predictive Analytics
|
Course code
INFO3018
|
Units
6
|
|
|
Course name
UO Mathematics Essentials in Data Analytics
|
Course code
MATH1034
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
 |
Course name
UO Problem Solving and Programming
|
Course code
COMP1021
|
Units
6
|
|
Course name
UO Object Oriented Programming
|
Course code
COMP1023
|
Units
6
|
|
Course name
UO Information Technology Fundamentals
|
Course code
INFO1020
|
Units
6
|
|
Course name
UO Professional Practice in Data Analytics
|
Course code
INFO1023
|
Units
6
|
|
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 System Requirements and User Experience
|
Course code
INFO1025
|
Units
6
|
|
Course name
UO Mathematics Essentials in Data Analytics
|
Course code
MATH1034
|
Units
6
|
|
Course name
UO Data Acquisition and Wrangling
|
Course code
INFO2029
|
Units
6
|
|
Course name
UO Database for the Enterprise
|
Course code
INFO2030
|
Units
6
|
|
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:
- 6 units for all University-wide electives, or
- 6 units for all Program electives
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
UO Critical Approaches to Online Learning
|
Course code
SOCI3014
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
|
Course name
UO Problem Solving and Programming
|
Course code
COMP1021
|
Units
6
|
|
Course name
UO Object Oriented Programming
|
Course code
COMP1023
|
Units
6
|
|
Course name
UO Information Technology Fundamentals
|
Course code
INFO1020
|
Units
6
|
|
Course name
UO Professional Practice in Data Analytics
|
Course code
INFO1023
|
Units
6
|
|
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 System Requirements and User Experience
|
Course code
INFO1025
|
Units
6
|
|
Course name
UO Mathematics Essentials in Data Analytics
|
Course code
MATH1034
|
Units
6
|
|
Course name
UO Data Acquisition and Wrangling
|
Course code
INFO2029
|
Units
6
|
|
Course name
UO Database for the Enterprise
|
Course code
INFO2030
|
Units
6
|
|
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
|
Career outcomes
This is a broad and generalist data analytics associate degree that will allow you to take your career in several different directions depending on your interests.
You might lend your skills to e-commerce and analyse customer behaviour for global companies. You could work for TikTok or Instagram, creating algorithms that generate content recommendations. Perhaps you’ll take your skills to the agriculture sector, helping farmers optimise crop yields and manage resources effectively.
This degree will help you gain access to entry-level, data-based positions in almost every industry sector, including as a:
- Data engineer
- Data analyst
- Data scientist
- Business data strategist
- Data architect
- Data visualisation specialist
- Reporting analyst.
Successful completion of this degree also means you’ll be eligible for admission to the Bachelor of Data Analytics with up to 72 units of credit – completing the degree in just one more year of study.
Industry trends
The National Skills Commission (2020) lists data analytics as 1 of 25 emerging occupations, with demand growing nearly 500% in just four years. A strong job outlook means you’ll be in-demand from the moment you graduate from Adelaide University.
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.
