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Bachelor of Data Analytics

Undergraduate

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This degree is only available to International students

You're considered an International student if you are:

  • NOT an Australian or New Zealand citizen
  • NOT an Australian Permanent Resident (including Permanent Humanitarian Visa holders)
This degree is only available to Australian students

You're considered an Australian student if you are any of the following:

  • Australian or New Zealand Citizen
  • Australian Permanent Resident (including Permanent Humanitarian Visa holders)
Mode icon
Mode
100% online
Duration icon
Duration
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
Commonwealth Supported
Non-tuition fees
Prerequisites icon
Prerequisite
None
Assumed knowledge icon
Assumed knowledge
None
Time commitment
Time commitment
10-15 hours per week per course
Eligibility code
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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.

Additional Enrolment Information – FAQs | Adelaide University

Degree Structure: Bachelor of Data Analytics

Program code: XBDAN

Complete 144 units comprising:

  • 132 units for all Core courses, and
  • 6 to 12 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.

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.

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 144 units comprising:

  • 132 units for all Core courses, and
  • 6 to 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
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Course name
UO Object Oriented Programming
Course code
COMP1023
Units
6
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Course name
UO Applied Data Structures
Course code
COMP2026
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
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Course name
UO System Requirements and User Experience
Course code
INFO1025
Units
6
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Course name
UO Data Driven Web Technologies
Course code
INFO1026
Units
6
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Course name
UO Experimental Design
Course code
INFO2027
Units
6
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Course name
UO Cloud Platforms
Course code
INFO2028
Units
6
course icon
Course name
UO Data Acquisition and Wrangling
Course code
INFO2029
Units
6
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Course name
UO Database for the Enterprise
Course code
INFO2030
Units
6
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Course name
UO Capstone Project 1
Course code
INFO3013
Units
6
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Course name
UO Capstone Project 2
Course code
INFO3014
Units
6
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Course name
UO Machine Learning
Course code
INFO3016
Units
6
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Course name
UO Data Visualisation
Course code
INFO3017
Units
6
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Course name
UO Predictive Analytics
Course code
INFO3018
Units
6
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Course name
UO Advanced Topics in Data Analytics
Course code
INFO3022
Units
6
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Course name
UO Big Data in the Cloud
Course code
INFO3023
Units
6
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Course name
UO Text and Social Media Analytics
Course code
INFO3024
Units
6
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Course name
UO Fundamentals of Mathematics for Data Analytics
Course code
MATH1033
Units
6
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Course name
UO Mathematics Essentials in Data Analytics
Course code
MATH1034
Units
6
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Course name
UO R for Data Analytics
Course code
MATH2018
Units
6

Electives description

A flexible course choice within your degree.

Complete 6 to 12 units comprising:

  • 6 to 12 units for all Electives

Electives description

A flexible course choice within your degree.
Course name Course code Units
course icon
Course name
UO Critical Approaches to Online Learning
Course code
SOCI3014
Units
6
course icon
Course name
Elective 1
Course code
AUXX1011
Units
6
course icon
Course name
Elective 2
Course code
AUXX1012
Units
6

Your program team

Dr Malgorzata Korolkiewicz

Program Director

College of Science

School of Mathematical Sciences

Dr Shokry Abdelaal

Program Facilitator

Academic

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