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
Please note that entry requirements for this degree are provisional and subject to change.
Why Bachelor of Computer Science?
Artificial Intelligence (AI) is playing a pivotal role in our lives every day – from chatbots to drones, we are set for a technology revolution. Surprisingly, artificial intelligence also plays a role in maintaining the Sydney Harbour Bridge. The iconic landmark is equipped with data-collecting sensors that are analysed using machine learning to pinpoint priority areas for maintenance.
Study the Bachelor of Computer Science majoring in Artificial Intelligence and Machine Learning and develop the practical skills and techniques needed to keep up with the ongoing technological transformation of the world. Learn with a research-informed approach and apply cutting-edge machine learning techniques to real-world problems. Understand the intricacies of AI to preparing you for challenges in the growing landscape of predictive technologies.

Overview
Our Bachelor of Computer Science majoring in Artificial Intelligence and Machine Learning provides you with practical skills to design, develop and analyse software systems to perform tasks requiring human-level intelligence. Learn the skills needed to gain insights from data and create solutions for businesses and individuals.
You’ll develop skills in solving complex problems across diverse industries and services. Focus on gaining foundational knowledge in computer science, statistics, and mathematics. Then, explore your specialisation by learning programming, machine learning and intricacies of AI adoption and adaptation. In your final year, put your skills to practice with a capstone project delivered in collaboration with research academics. You'll collaborate with the Industrial AI Research Centre to create solutions with smart machines and systems, contributing to the worldwide transformation in this field.
You will graduate part of the new generation of skilled professionals using AI and machine learning to improve business productivity. Join the world of AI and elevate human knowledge and capabilities to new levels.
Key features
Complete common computer science subjects in first year before exploring a major.
Study industry-relevant coursework developed by leading researchers.
Understand the contribution of AI and machine learning to global connectivity.
Gain practical skills and learn cutting-edge techniques to tackle complex industry challenges.
Develop a research-informed approach to predicting solutions.
Access the latest digital technologies through the Industrial AI Research Centre.
What you'll learn
This is a flexible degree, allowing you to customise your learning experience and choose a major in your second year. Your learning will encompass a blend of theoretical foundations in computing practices and give you practical skills to recognise trends in the global transformation of digital technologies.
You’ll learn about computing in the modern world and core functions of information technology systems, using a practice-based approach to drive innovation in the field of AI and machine learning.
Within your specialisation, you’ll gain in-depth knowledge in areas like natural language processing, advanced machine learning and linear algebra to prepare for your future career.
In your final year, you’ll gain exciting and unique exposure through a collaborative industry project. You will draw on technical expertise and present a project for an industry partner, demonstrating your learned skills and interpretation of adaptation in the field.
Assessments for this degree include a combination of essays, exams, case studies, portfolio, group work, supervised written and oral tests, and programming exercises.
You’ll be able to complete majority of first year common courses and second year courses at either our Adelaide City or Mawson Lakes Campus with some potential cross-campus study required. Throughout your degree, you’ll gain access to cutting-edge facilities across both campus locations to enhance your overall learning experience.
Majors
Did you know that you can also choose a Bachelor of Computer Science with a major in one of the following:

Did you know you can study computer science and engineering concurrently? You can combine our Bachelor of Computer Science with the following engineering degrees:
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 | |
---|---|---|---|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
|
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
|
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
|
Course name
Data Structures and Algorithms
|
Course code
COMP2017
|
Units
6
|
|
Course name
Software Development Practice
|
Course code
COMP2021
|
Units
6
|
|
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
|
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
|
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
|
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
|
Course name
Foundations in Mathematics
|
Course code
MATH1000
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Year 1 | |||
Semester 1 | |||
![]() |
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
![]() |
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
![]() |
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
![]() |
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
![]() |
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
![]() |
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
![]() |
Course name
Foundations in Mathematics
|
Course code
MATH1000
|
Units
6
|
Year 2 | |||
Semester 1 | |||
![]() |
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
![]() |
Course name
Maths for Machine Learning
|
Course code
MATH1022
|
Units
6
|
![]() |
Course name
Software Development Practice
|
Course code
COMP2021
|
Units
6
|
![]() |
Course name
Artificial Intelligence
|
Course code
ARTI2003
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Cloud and Concurrent Programming
|
Course code
COMP3011
|
Units
6
|
![]() |
Course name
Machine Learning
|
Course code
ARTI2001
|
Units
6
|
![]() |
Course name
Data Structures and Algorithms
|
Course code
COMP2017
|
Units
6
|
![]() |
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
Year 3 | |||
Semester 1 | |||
![]() |
Course name
Neural Networks and Deep Learning
|
Course code
ARTIX300
|
Units
6
|
![]() |
Course name
Advanced Data Structures and Algorithms
|
Course code
COMP3008
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Advanced Artificial Intelligence
|
Course code
ARTI3002
|
Units
6
|
![]() |
Course name
High Performance Computing
|
Course code
COMP2007
|
Units
6
|
![]() |
Course name
ICT Capstone Project 1
|
Course code
INFO3901
|
Units
6
|
![]() |
Course name
ICT Capstone Project 2
|
Course code
INFO3902
|
Units
6
|
Complete 54 units for ALL of the following:
Course name | Course code | Units | |
---|---|---|---|
Course name
Maths for Machine Learning
|
Course code
MATH1022
|
Units
6
|
|
Course name
Machine Learning
|
Course code
ARTI2001
|
Units
6
|
|
Course name
Artificial Intelligence
|
Course code
ARTI2003
|
Units
6
|
|
Course name
Advanced Artificial Intelligence
|
Course code
ARTI3002
|
Units
6
|
|
Course name
High Performance Computing
|
Course code
COMP2007
|
Units
6
|
|
Course name
Cloud and Concurrent Programming
|
Course code
COMP3011
|
Units
6
|
|
Course name
Advanced Data Structures and Algorithms
|
Course code
COMP3008
|
Units
6
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
|
Course name
Neural Networks and Deep Learning
|
Course code
ARTIX300
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Year 1 | |||
Semester 1 | |||
![]() |
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
![]() |
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
![]() |
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
![]() |
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
![]() |
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
![]() |
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
![]() |
Course name
Foundations in Mathematics
|
Course code
MATH1000
|
Units
6
|
Year 2 | |||
Semester 1 | |||
![]() |
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
![]() |
Course name
Maths for Machine Learning
|
Course code
MATH1022
|
Units
6
|
![]() |
Course name
Software Development Practice
|
Course code
COMP2021
|
Units
6
|
![]() |
Course name
Artificial Intelligence
|
Course code
ARTI2003
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Cloud and Concurrent Programming
|
Course code
COMP3011
|
Units
6
|
![]() |
Course name
Machine Learning
|
Course code
ARTI2001
|
Units
6
|
![]() |
Course name
Data Structures and Algorithms
|
Course code
COMP2017
|
Units
6
|
![]() |
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
Year 3 | |||
Semester 1 | |||
![]() |
Course name
Neural Networks and Deep Learning
|
Course code
ARTIX300
|
Units
6
|
![]() |
Course name
Advanced Data Structures and Algorithms
|
Course code
COMP3008
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Advanced Artificial Intelligence
|
Course code
ARTI3002
|
Units
6
|
![]() |
Course name
High Performance Computing
|
Course code
COMP2007
|
Units
6
|
![]() |
Course name
ICT Capstone Project 1
|
Course code
INFO3901
|
Units
6
|
![]() |
Course name
ICT Capstone Project 2
|
Course code
INFO3902
|
Units
6
|
Complete 12 units for ALL of the following:
Course name | Course code | Units | |
---|---|---|---|
Course name
ICT Capstone Project 1
|
Course code
INFO3901
|
Units
6
|
|
Course name
ICT Capstone Project 2
|
Course code
INFO3902
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Year 1 | |||
Semester 1 | |||
![]() |
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
![]() |
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
![]() |
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
![]() |
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
![]() |
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
![]() |
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
![]() |
Course name
Foundations in Mathematics
|
Course code
MATH1000
|
Units
6
|
Year 2 | |||
Semester 1 | |||
![]() |
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
![]() |
Course name
Maths for Machine Learning
|
Course code
MATH1022
|
Units
6
|
![]() |
Course name
Software Development Practice
|
Course code
COMP2021
|
Units
6
|
![]() |
Course name
Artificial Intelligence
|
Course code
ARTI2003
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Cloud and Concurrent Programming
|
Course code
COMP3011
|
Units
6
|
![]() |
Course name
Machine Learning
|
Course code
ARTI2001
|
Units
6
|
![]() |
Course name
Data Structures and Algorithms
|
Course code
COMP2017
|
Units
6
|
![]() |
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
Year 3 | |||
Semester 1 | |||
![]() |
Course name
Neural Networks and Deep Learning
|
Course code
ARTIX300
|
Units
6
|
![]() |
Course name
Advanced Data Structures and Algorithms
|
Course code
COMP3008
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Advanced Artificial Intelligence
|
Course code
ARTI3002
|
Units
6
|
![]() |
Course name
High Performance Computing
|
Course code
COMP2007
|
Units
6
|
![]() |
Course name
ICT Capstone Project 1
|
Course code
INFO3901
|
Units
6
|
![]() |
Course name
ICT Capstone Project 2
|
Course code
INFO3902
|
Units
6
|
Complete 12 units comprising:
- 12 units from University-wide electives
Course name | Course code | Units | |
---|---|---|---|
Year 1 | |||
Semester 1 | |||
![]() |
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
![]() |
Course name
Structured Data
|
Course code
COMP1003
|
Units
6
|
![]() |
Course name
Information Technology Systems
|
Course code
INFO1012
|
Units
6
|
![]() |
Course name
Computing Innovations in the Modern World
|
Course code
COMP1015
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Object-Oriented Programming
|
Course code
COMP1005
|
Units
6
|
![]() |
Course name
Security Foundations
|
Course code
INFO1016
|
Units
6
|
![]() |
Course name
System Requirements
|
Course code
INFO1013
|
Units
6
|
![]() |
Course name
Foundations in Mathematics
|
Course code
MATH1000
|
Units
6
|
Year 2 | |||
Semester 1 | |||
![]() |
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
![]() |
Course name
Maths for Machine Learning
|
Course code
MATH1022
|
Units
6
|
![]() |
Course name
Software Development Practice
|
Course code
COMP2021
|
Units
6
|
![]() |
Course name
Artificial Intelligence
|
Course code
ARTI2003
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Cloud and Concurrent Programming
|
Course code
COMP3011
|
Units
6
|
![]() |
Course name
Machine Learning
|
Course code
ARTI2001
|
Units
6
|
![]() |
Course name
Data Structures and Algorithms
|
Course code
COMP2017
|
Units
6
|
![]() |
Course name
Professional Communication and Teamwork
|
Course code
INFO2032
|
Units
6
|
Year 3 | |||
Semester 1 | |||
![]() |
Course name
Neural Networks and Deep Learning
|
Course code
ARTIX300
|
Units
6
|
![]() |
Course name
Advanced Data Structures and Algorithms
|
Course code
COMP3008
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
![]() |
Course name
|
Course code
-
|
Units
6
|
Semester 2 | |||
![]() |
Course name
Advanced Artificial Intelligence
|
Course code
ARTI3002
|
Units
6
|
![]() |
Course name
High Performance Computing
|
Course code
COMP2007
|
Units
6
|
![]() |
Course name
ICT Capstone Project 1
|
Course code
INFO3901
|
Units
6
|
![]() |
Course name
ICT Capstone Project 2
|
Course code
INFO3902
|
Units
6
|

Career outcomes
Artificial intelligence development is already underway across Australian companies, governments and community organisations.
The highly evolving nature of AI and machine learning means you will be an attractive candidate for a wide range of career opportunities. You could work in technology companies, business organisations, start-ups and businesses in private and public sectors. You could find yourself working for tech firms like IBM, Amazon, and Atlassian, or large companies like Woolworths, Elders, Penfolds and Wesfarmers.
Career opportunities know no bounds in this field. You might even work in health, ageing and disability – using AI to improve human health through prevention or treatment. Or create AI tools to make managing natural resources easier, cut costs and make agriculture, mining, fishing, and forestry better industries.
Other careers to consider are:
- Computer scientist
- Computer programmer
- Game AI programmer
- Artificial intelligence engineer
- LLM prompt engineer.
Industry trends
According to the McKinsey Global Institute in 2023, Al will generate $13 trillion in economic activity by 2030.
Digital technologies, including AI, could be worth $315 billion to the Australian economy by 2028 (CSIRO Artificial Intelligence Roadmap, 2019). Adelaide University’s computer science degree will prepare you with the skills and knowledge to be a leader in the development of new industry technologies.
Accreditation
This program is provisionally accredited by the Australian Computer Society (ACS).
Graduates are eligible for membership with the ACS and are recognised internationally through the Seoul Accord.
Ready to apply?
FAQs
Explore answers to some of our most frequently asked questions.
Applications for Australian students to study at Adelaide University will open in August 2025. Applications will be via SATAC for most undergraduate and postgraduate coursework programs.
Applications to study a 100% online degree will open in July 2025 via a direct application process.
In the meantime, you could start your studies at UniSA or the University of Adelaide in 2025 and continue on to Adelaide University in 2026.
Adelaide University is South Australia’s largest university with seven campuses across the state. Adelaide City Campus is in the heart of the central business district (including eastern and western precincts), while our Magill, Mawson Lakes and Waite campuses are located within the inner suburbs of Adelaide. Our Mount Gambier, Roseworthy and Whyalla campuses are set in the regions of South Australia. Building on our digital and online learning successes, we aim to also deliver online education to more students than any other Australian university.
Each of our campuses is equipped with cutting-edge, discipline specific facilities, contemporary study spaces and well-resourced libraries. Our city and suburban campuses also feature on-site gyms and eateries, and health services on, or nearby, campus.
You will be well supported academically, socially, emotionally and spiritually with access to on-campus facilities and services such as counselling, learning support, childcare, prayer rooms and more.
You will be well supported through a range of services at Adelaide University to ensure you get the most out of your student experience. Support services include:
- Academic learning support, spanning assistance with writing, referencing, mathematics and more.
- Advice and advocacy regarding access, adjustments and inclusivity if you have a disability, impairment, chronic health condition or significant caring responsibilities.
- Libraries providing flexible study spaces, access to books, computer suites and online resources – as well as referencing support, search tips and more.
- Career development hub, including extensive self-help resources, online learning programs, on-campus events, workshops and networking, one-on-one advice, and job search support.
- Qualified counsellors who can provide confidential support to manage your mental health and wellbeing.
- On-campus medical clinics on-site where you can make an appointment with a General Practitioner to discuss acute and preventative health care matters.
- Information and advice for international students regarding accommodation, student life, and academic policies and procedures.
- An active and visible LGBTIQA+ Ally Network that ensures the University provides a supportive environment where all staff and students can safely work and study free of harassment or discrimination.
- Prayer rooms on campus, including gender specific spaces for worship purposes.
- Campus security available 24 hours a day, seven days a week to ensure all students feel safe on campus.
- A range of scholarships offered to commencing and continuing students each year to make university life a little easier.
- A number of social outlets including student lounges, gyms, student-led clubs, sports teams and free events throughout the year.
Your tuition fees will depend on your program of study and enrolment load. You can find the annual fees relevant to your program on the specific degree page under the ‘fees’ section. The annual fee payable for your chosen program will also be outlined in your Offer of Admission.
Adelaide University will open in January 2026. Your studies will start at different times depending on what study period you’ve applied for. Adelaide University is currently using a semester model, which means most degrees start in Semester 1. Some degrees are also available to start in mid-year, sometimes with a different degree structure.
Studies at Adelaide University typically commence in:
- February for Semester 1
- July for Semester 2.
Some degrees, such as the Bachelor of Medical Studies and Master of Business Administration, will have different starting dates. View the relevant degree page for more detail.
For other key dates, including census dates and exam periods, you can view the Academic calendar.
Your study experience and support
Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.
You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.
Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.
Student services
We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:
- Career advice and mentoring services
- Personal counselling
- LGBTQIA+ support
- Academic support
- Fees and finance help
- Security services
- Accommodation services
- Common rooms
- Prayer rooms.
You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.

Your campus
You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.
Study hours
Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.
Assessment
During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:
- Case studies
- Essays and assignments
- Examinations
- Group projects
- Internships and placements
- Practicals
- Presentations
- Reports and project documentations
- Research projects
- Workplace and classroom contributions.
