Master of Artificial Intelligence and Machine Learning
- Adelaide, Australia
- Whyalla, Australia
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Feb 2027
STUDY FORMAT
On-Campus
Key Summary
About: The Master of Artificial Intelligence and Machine Learning at Adelaide University trains you to design intelligent systems and build predictive models. You’ll master machine learning (ML), deep learning, generative AI, ethical AI, algorithms and programming through hands-on, industry-partnered projects. Study tools for robotics, data science, healthcare and finance while developing critical thinking skills.
Career Outcomes: Graduates can work across tech, healthcare, energy and research. Potential roles include AI research scientist, machine learning engineer, AI ethics specialist and natural language processing specialist. Employers range from tech giants to startups and research centers; roles cover model development, deployment, evaluation and governance.
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.
What courses will you study?
Complete 96 units comprising:
- 66 units for all Core courses, and
- 18 units for Electives, and
- 12 units for all Work-integrated learning
Core courses
- Generative Artificial Intelligence
- Applied Artificial Intelligence and Machine Learning
- Ethics, Privacy and Security in Artificial Intelligence and Machine Learning
- Advanced Topics in Artificial Intelligence and Machine Learning
- Machine Learning Algorithms
- Programming for Artificial Intelligence and Machine Learning
- Programming for Artificial Intelligence and Machine Learning 2
- Deep Learning Applications
- Applied Artificial Intelligence and Machine Learning 2
- Project Management for IT Professionals
- Statistical Foundations for Data Science and Artificial Intelligence
Work-integrated learning
- ICT Master Capstone Project 1
- ICT Master Capstone Project 2
Electives
- Computer Vision and Multimodal Machine Learning
- Data-Driven Decision-Making
- Data Taming and Prediction
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.
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.
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.
