100% online

Associate Degree in Data Analytics

Pre-degree

Mode

100% online

Duration

2 year(s) full-time

Program code

XADDA

Study as

Full time or part time

Indicative annual fees

Commonwealth Supported

Non-tuition fees

Prerequisite

None

Assumed knowledge

None

Time commitment

10-15 hours per week per course

Check your eligibility

Answer a few short questions to determine your eligibility

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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.

Note:

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

Additional Enrolment Information – FAQs | Adelaide University

Degree Structure: Associate Degree in Data Analytics

Program code: XADDA

Complete 96 units comprising:

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

Study plan

A study plan sets out the courses you will need to complete and the recommended timing for each one. This will help to guide your enrolment in each study period, alongside any additional information provided below. If you have received a personalised plan or alternative advice from your Program Director, please refer to that guidance in the first instance, or seek help from your Program Director or Student Assist if you are unsure.

Choose your course type

Year 1

Units 6

COMP1021 | UO Problem Solving and Programming (6 units)

Course type

¹ Core courses

Units 6

COMP1023 | UO Object Oriented Programming (6 units)

Course type

¹ Core courses

Units 6

INFO1020 | UO Information Technology Fundamentals (6 units)

Course type

¹ Core courses

Units 6

INFO1023 | UO Professional Practice in Data Analytics (6 units)

Course type

¹ Core courses

Units 6

INFO1026 | UO Data Driven Web Technologies (6 units)

Course type

¹ Core courses

Units 6

MATH1033 | UO Fundamentals of Mathematics for Data Analytics (6 units)

Course type

¹ Core courses

Units 6

MATH2018 | UO R for Data Analytics (6 units)

Course type

¹ Core courses

Units 6

Program electives

Course type

¹ Program electives

Notes

Or any UO elective available, subject to requirements being met.

Year 2

Units 6

INFO1025 | UO System Requirements and User Experience (6 units)

Course type

¹ Core courses

Units 6

MATH1034 | UO Mathematics Essentials in Data Analytics (6 units)

Course type

¹ Core courses

Units 6

INFO2029 | UO Data Acquisition and Wrangling (6 units)

Course type

¹ Core courses

Units 6

INFO2030 | UO Database for the Enterprise (6 units)

Course type

¹ Core courses

Units 6

INFO3017 | UO Data Visualisation (6 units)

Course type

¹ Core courses

Units 6

INFO3018 | UO Predictive Analytics (6 units)

Course type

¹ Core courses

Units 6

COMP2026 | UO Applied Data Structures (6 units)

Course type

¹ Core courses

Units 6

INFO2028 | UO Cloud Platforms (6 units)

Course type

¹ Core courses

Enrolment information

Find details about the rules and notes that apply to your program, along with other essential information required for successful enrolment. Supplementary supporting resources may also be provided where applicable.

Some programs include additional enrolment advice. If available for your program, it will be displayed here.

Courses

Listed here are all the courses that contribute to your program, including elective options that can be chosen. These courses come together to form your study plan. Courses fall into different categories, each of which have specific unit values that need to be met under the program rules.

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 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