Why Master of Artificial Intelligence and Machine Learning?
Are you ready to lead the future of technology? Create smart systems that revolutionise industries. Design algorithms that run self-driving cars or build predictive models that enhance healthcare. The possibilities are endless.
Develop practical skills in programming, machine learning (ML) and ethical artificial intelligence (AI) while exploring cutting-edge topics like generative AI and deep learning. With demand for AI professionals booming worldwide, you’ll be ready to innovate and make a real difference in fields like robotics, data science and beyond.
Shape the future with artificial intelligence studying at Adelaide University.
Overview
Embark on a transformative journey with the Master of Artificial Intelligence and Machine Learning at Adelaide University. This innovative degree puts you at the forefront of the AI revolution. You’ll be equipped with the skills to innovate and lead in this rapidly evolving field.
Explore the unique world of intelligent systems as you master:
- Advanced machine learning algorithms
- Deep learning architectures
- Generative AI techniques
- Ethical AI development.
You'll gain hands-on experience with state-of-the-art tools and technologies and tackle real-world challenges through industry-partnered projects. Build your technical skills and critical thinking needed to navigate the ethical complexities of AI.
Graduate ready to influence the future of technology in diverse sectors, from healthcare to finance. Drive innovations that will redefine human-machine interaction and solve some of society's most complex challenges.
Key features
Study a comprehensive curriculum that integrates core AI and machine learning concepts with practical applications. - Gain hands-on experience with the latest tools and technologies in AI, including deep learning and generative AI.
- Navigate the complex moral landscape of modern technology by emphasising ethics, privacy and security in AI development.
- Apply knowledge to real-world challenges through an industry capstone project, enhancing practical skills and professional readiness.
- Prepare for high-demand roles as an AI engineer, data scientist or machine learning specialist.
- Build your professional network through extensive industry connections and mentorship opportunities.
What you'll learn
With the Master of Artificial Intelligence and Machine Learning at Adelaide University, you’ll gain advanced skills in artificial intelligence and machine learning. You’ll be prepared to step into leadership roles in this exciting and rapidly evolving field.
In your first year, you'll build a strong foundation of knowledge in AI and machine learning fundamentals. Learn programming specifically tailored for AI applications and explore statistical foundations crucial for data science. Explore the ethical considerations of AI development while honing your project management and leadership skills.
As you progress, you'll study more advanced topics including:
- Advanced machine learning algorithms
- Deep learning applications
- Applied AI techniques.
During your second year, you'll tackle more complex topics like generative AI and cutting-edge developments in the field. You can specialise further by selecting electives such as:
- Computer vision and multi-modal machine learning
- Big data technologies
- Text and social media analytics.
The degree culminates with an industry capstone project, where you can apply your knowledge to real-world challenges. This hands-on experience integrates everything you've learned, preparing you for the practical demands of the AI industry.
Throughout the course, you'll develop not only technical expertise but also critical thinking skills essential for navigating the ethical landscape of AI. You'll graduate with a comprehensive understanding of AI and ML, ready to drive innovation in various sectors such as technology, healthcare and finance.
With a robust skill set, practical experience and exposure to the latest AI technologies, you'll be well-equipped to pursue exciting careers as an AI engineer, machine learning specialist or data scientist.
What courses you'll study
Complete 96 units comprising:
- 66 units for all Core courses, and
- 12 units for all Work Integrated Learning, and
- 18 units for Electives
Complete 66 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
 |
Course name
Ethics, Privacy and Security in Artificial Intelligence and Machine Learning
|
Course code
ARTI5006
|
Units
6
|
|
Course name
Programming for Artificial Intelligence and Machine Learning
|
Course code
COMP5004
|
Units
6
|
|
Course name
Statistical Foundations for Data Science and Artificial Intelligence
|
Course code
STAT5020
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Machine Learning Algorithms
|
Course code
ARTI6003
|
Units
6
|
|
Course name
Programming for Artificial Intelligence and Machine Learning 2
|
Course code
COMP5064
|
Units
6
|
|
Course name
Project Management for IT Professionals
|
Course code
PROJ5001
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Applied Artificial Intelligence and Machine Learning
|
Course code
ARTI5002
|
Units
6
|
|
Course name
Advanced Topics in Artificial Intelligence and Machine Learning
|
Course code
ARTI6000
|
Units
6
|
|
Course name
Deep Learning Applications
|
Course code
COMP6004
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Generative Artificial Intelligence
|
Course code
ARTI5001
|
Units
6
|
|
Course name
Applied Artificial Intelligence and Machine Learning 2
|
Course code
COMP6026
|
Units
6
|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
Complete 12 units for ALL of the following:
| Course name | Course code | Units | |
|---|---|---|---|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
|
Course name
Ethics, Privacy and Security in Artificial Intelligence and Machine Learning
|
Course code
ARTI5006
|
Units
6
|
|
Course name
Programming for Artificial Intelligence and Machine Learning
|
Course code
COMP5004
|
Units
6
|
|
Course name
Statistical Foundations for Data Science and Artificial Intelligence
|
Course code
STAT5020
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Machine Learning Algorithms
|
Course code
ARTI6003
|
Units
6
|
|
Course name
Programming for Artificial Intelligence and Machine Learning 2
|
Course code
COMP5064
|
Units
6
|
|
Course name
Project Management for IT Professionals
|
Course code
PROJ5001
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Applied Artificial Intelligence and Machine Learning
|
Course code
ARTI5002
|
Units
6
|
|
Course name
Advanced Topics in Artificial Intelligence and Machine Learning
|
Course code
ARTI6000
|
Units
6
|
|
Course name
Deep Learning Applications
|
Course code
COMP6004
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Generative Artificial Intelligence
|
Course code
ARTI5001
|
Units
6
|
|
Course name
Applied Artificial Intelligence and Machine Learning 2
|
Course code
COMP6026
|
Units
6
|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
Complete 18 units comprising:
- 18 units from Program electives
| Course name | Course code | Units | |
|---|---|---|---|
|
|
Course name
Computer Vision and Multimodal Machine Learning
|
Course code
COMP6001
|
Units
6
|
|
|
Course name
Data-Driven Decision-Making
|
Course code
COMP6011
|
Units
6
|
|
|
Course name
Data Taming and Prediction
|
Course code
MATHX105
|
Units
6
|
| Course name | Course code | Units | |
|---|---|---|---|
| Year 1 | |||
| Semester 1 | |||
|
Course name
Ethics, Privacy and Security in Artificial Intelligence and Machine Learning
|
Course code
ARTI5006
|
Units
6
|
|
Course name
Programming for Artificial Intelligence and Machine Learning
|
Course code
COMP5004
|
Units
6
|
|
Course name
Statistical Foundations for Data Science and Artificial Intelligence
|
Course code
STAT5020
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Machine Learning Algorithms
|
Course code
ARTI6003
|
Units
6
|
|
Course name
Programming for Artificial Intelligence and Machine Learning 2
|
Course code
COMP5064
|
Units
6
|
|
Course name
Project Management for IT Professionals
|
Course code
PROJ5001
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Year 2 | |||
| Semester 1 | |||
|
Course name
Applied Artificial Intelligence and Machine Learning
|
Course code
ARTI5002
|
Units
6
|
|
Course name
Advanced Topics in Artificial Intelligence and Machine Learning
|
Course code
ARTI6000
|
Units
6
|
|
Course name
Deep Learning Applications
|
Course code
COMP6004
|
Units
6
|
|
Course name
|
Course code
-
|
Units
6
|
| Semester 2 | |||
|
Course name
Generative Artificial Intelligence
|
Course code
ARTI5001
|
Units
6
|
|
Course name
Applied Artificial Intelligence and Machine Learning 2
|
Course code
COMP6026
|
Units
6
|
|
Course name
ICT Master Capstone Project 1
|
Course code
COMP6024
|
Units
6
|
|
Course name
ICT Master Capstone Project 2
|
Course code
COMP6000
|
Units
6
|
Career outcomes
With the Master of Artificial Intelligence and Machine Learning at Adelaide University, you’ll gain the skills to revolutionise industries and shape tomorrow's technological landscape. Imagine developing AI systems that predict disease outbreaks, optimise sustainable energy solutions or create models that forecast climate change impacts.
You could work at renowned tech giants like Google, Amazon or Apple, pushing the boundaries of what’s possible. You might become an AI research scientist pioneering new algorithms. Perhaps you’ll get a role as an AI ethics specialist ensuring responsible technology development.
The AI revolution is transforming every sector, from healthcare and finance to environmental conservation and space exploration.
Other exciting roles you could pursue include:
- AI product development specialist
- Machine learning engineer
- AI integration consultant
- Natural language processing specialist.
Industry trends
The Australian AI market is projected to reach USD 8.89 billion by 2029, growing at a compound annual growth rate (CAGR) of 19.27% from 2023 to 2029 (GlobeNewswire, 2024 Research Report). Goldman Sachs suggests AI adoption could lift global productivity growth by 1.5 percentage points over a 10 year period and drive a 7% (or US$7 trillion) increase (Australian Government, Export Finance Australia) in global gross domestic product (GDP).
Our degree at Adelaide University ensures you’ll be at the forefront of this technological wave, driving innovations that could redefine human-machine interaction.
Accreditation
This program is provisionally accredited at the level of Professional 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?
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.
