Bachelor of Computer Science majoring in Artificial Intelligence and Machine Learning

Undergraduate

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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
On campus
Campus icon
Campus
Adelaide City Campus
Duration icon
Duration
3 year(s) full-time
Program code icon
Program code
BCOMP
Study as icon
Study as
Full time or part time
Fees
Indicative annual fees
Commonwealth Supported
Non-tuition fees
SATAC code icon
SATAC code
ABP144
Assumed knowledge icon
Assumed knowledge
None
Entry scores icon
Entry scores
2025 CUT-OFFS Guaranteed entry score (ATAR-based):80 Guaranteed entry score (Grades-based):A,A,B

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
  • Qualify for special entry
alt
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 Computer Science majoring in Artificial Intelligence and Machine Learning

Program code: BCOMP

Complete 144 units comprising:

  • 66 units for all Core courses, and
  • Either:
  • 54 units for one Major from Majors, or
  • 54 units for all Discipline courses, and
  • 12 units for all Work integrated learning, and
  • 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:

  • 66 units for all Core courses, and
  • Either:
  • 54 units for one Major from Majors, or
  • 54 units for all Discipline courses, and
  • 12 units for all Work integrated learning, and
  • 12 units for Electives

Complete 66 units for ALL of the following:

Course name Course code Units
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Course name
Problem Solving and Programming
Course code
COMP1002
Units
6
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Course name
Structured Data
Course code
COMP1003
Units
6
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Course name
Object-Oriented Programming
Course code
COMP1005
Units
6
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Course name
Computing Innovations in the Modern World
Course code
COMP1015
Units
6
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Course name
Data Structures and Algorithms
Course code
COMP2017
Units
6
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Course name
Software Development Practice
Course code
COMP2021
Units
6
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Course name
Information Technology Systems
Course code
INFO1012
Units
6
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Course name
System Requirements
Course code
INFO1013
Units
6
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Course name
Security Foundations
Course code
INFO1016
Units
6
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Course name
Professional Communication and Teamwork
Course code
INFO2032
Units
6
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Course name
Foundations in Mathematics
Course code
MATH1000
Units
6

Complete 54 units for ALL of the following:

Course name Course code Units
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Course name
Maths for Machine Learning
Course code
MATH1022
Units
6
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Course name
Machine Learning
Course code
ARTI2001
Units
6
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Course name
Artificial Intelligence
Course code
ARTI2003
Units
6
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Course name
Advanced Artificial Intelligence
Course code
ARTI3002
Units
6
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Course name
High Performance Computing
Course code
COMP2007
Units
6
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Course name
Cloud and Concurrent Programming
Course code
COMP3011
Units
6
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Course name
Advanced Data Structures and Algorithms
Course code
COMP3008
Units
6
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Course name
Probability and Statistics
Course code
STATX100
Units
6
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Course name
Neural Networks and Deep Learning
Course code
ARTIX300
Units
6

Work Integrated Learning description

WIL courses give you real‑world experience as part of your degree.

Complete 12 units for ALL of the following:

Course name Course code Units
course icon
Course name
ICT Capstone Project 1
Course code
INFO3901
Units
6
course icon
Course name
ICT Capstone Project 2
Course code
INFO3902
Units
6

Electives description

A flexible course choice within your degree.

Complete 12 units comprising:

  • 12 units from University-wide electives

A full list of university-wide elective options can be accessed below.

University-wide elective options

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