Associate Degree in Data Analytics

Big data is growing and creating a huge demand for data experts that can help organisations better understand their customers and grow. In UniSA Online’s two-year Associate Degree in Data Analytics, you’ll learn programming, data mining and visualisation, database administration, and cloud computing to take advantage of the digital transformation boom.

You will:

• learn how to collect, manage, and convert raw data into usable information
• explore data visualisation tools as well as programs and techniques for data acquisition and cleaning
• build a solid foundation in database design, R statistical software and cloud platforms
• learn how to select and implement the appropriate data structures and algorithms to develop software and solve problems
• explore the ethics of data collection and what it is to be a data analytics professional.

Data analysts who can extract, translate, visualise, and communicate information are in high demand. The National Skills Commission lists data analytics as 1 of 25 emerging occupations, with demand growing 492% in just four years.¹ This is driving up premiums for starting salaries by 20 per cent to 30 per cent.²

UniSA Online’s Associate Degree in Data Analytics will give you critical skills to prepare you for a career working with data. You’ll be ready to step into junior positions as a:

• data engineer
• data analyst
• data scientist
• business data strategist
• data architect
• data visualisation specialist
• reporting analyst.

Want to keep studying? With an associate degree in data analytics, you’ll be eligible to continue your studies with UniSA Online’s Bachelor of Data Analytics with up to 72 units of credit. This means you could hold a bachelor degree as well, with just one more year of study.

¹ National Skills Commission, Emerging Occupations Report, Australian Government 2020, www.nationalskillscommission.gov.au

² The Australian Financial Review, Tech skills shortage is across the board, AFR, 2022.

Higher education

Applicants are required to meet one of the following criteria with a competitive result:

• Successfully completed equivalent to a minimum of half a year of full-time study over a higher education program at a recognised higher education provider

Secondary education

• Completed a secondary education qualification equivalent to SACE, such as an interstate year 12 or international qualification

VET studies

• Complete an award from a registered training organisation at Certificate IV or above

Work and Life

• Passed a UniSA Online literacy and numeracy test and have relevant work experience, or
• Completed a UniSA Foundations Studies program or equivalent, or
• Qualify for Special Entry.

If you have previous work experience, or have studied before, you could fast-track your studies by reducing the time it takes to complete your degree.

UniSA Online's Associate Degree in Data Analytics includes courses co-developed with industry, ask you to put theory into practice within simulated work environments, and explore real world case studies. That’s why UniSA is ranked #3 in Australia for work-ready graduates in IT.¹

You’ll also have full control over your study with our 100% online Associate Degree in Data Analytics. Our expert academics have designed the degree specifically for online learning so you can plan your study to fit around your life. UniSA has 30+ years of experience delivering online and distance education and it shows. You can access support seven days a week, view learning resources 24/7, and log into our interactive online environment to learn anywhere, any time and on any device.

Start your data analytics career with one of Australia’s largest online universities² that’s #2 in Australia for quality education.³

¹ ComparED (QILT) Student Experience Survey 2019-20 – Computing and Information Systems – Skills Development Indicator (Undergraduate). Public universities.

² Ranked 4th, 2020 Department of Education, Skills and Employment – Commencing Domestic Bachelor Degree Students (External).

³ 2021 THE University Impact Rankings

Recommended Study Pattern

Year 1

UO Problem Solving and Programming

UO Information Technology Fundamentals

UO R for Data Analytics

UO Object Oriented Programming

UO Professional Practice in Data Analytics

UO Data Driven Web Technologies

UO Fundamentals of Mathematics for Data Analytics

Elective 1

OR

UO Critical Approaches to Online Learning

Year 2

UO Mathematics Essentials in Data Analytics

UO Data Acquisition and Wrangling

UO Cloud Platforms

UO Applied Data Structures

UO Database for the Enterprise

UO System Requirements and User Experience

UO Data Visualisation

UO Predictive Analytics

Award Requirements

Students must complete 16 subjects including 1 elective.