Build the skills to create, evaluate and apply AI
Artificial intelligence is changing how organisations solve problems, make decisions and develop new products and services. The people shaping that change need to understand:
- how intelligent systems work
- where they can fail
- how to apply them responsibly.
At Macquarie University, you can study technical AI through the Bachelor of Information Technology with a major in Artificial Intelligence. This course combines focused AI study with broader capability in programming, data, software systems and information technology.
You will develop specialist knowledge while retaining the flexibility to adapt as AI technologies and career opportunities evolve.
About the course
AI systems do not operate in isolation. They depend on data, software, infrastructure, security and the organisations in which they are used. Studying AI within an information technology degree helps you understand both the models and the wider systems needed to apply them effectively and responsibly.
The result is focused AI expertise supported by a broad and adaptable technology qualification.
Study the Bachelor of Information Technology with an Artificial Intelligence major to make artificial intelligence the specialist focus of your technology degree, develop strong programming, data and software foundations, understand how AI fits into real technology systems and organisations, build and evaluate AI-enabled solutions, and retain flexibility across AI, data and software career pathways.
What you will study
Your study progresses from computing and statistical foundations to contemporary AI techniques and their application to real-world problems.
By the time you graduate, you will be able to:
- explain how AI techniques work and where their limitations lie
- develop, test and evaluate AI-enabled solutions
- work confidently with data, algorithms and intelligent systems
- apply AI to language, images, business processes and other domains
- assess the ethical, legal and social implications of AI
- communicate technical work clearly to technical and non-technical audiences.
Indicative areas and units include:
- algorithms and data structures
- artificial intelligence for text and vision
- business applications of artificial intelligence
- data science
- fundamentals of computer science
- intelligent machines, ethics and law
- introductory statistics
- knowledge, planning and decision making under uncertainty.
Prepare for an AI-enabled career
The role you enter will depend on your unit choices and the experience you build through projects, internships and other professional activities.
Potential graduate roles include:
- AI developer
- automation analyst or specialist
- data analyst
- data engineer
- graduate AI engineer
- graduate technology consultant
- junior data scientist
- junior machine learning engineer
- software developer.
With experience, these pathways can progress towards senior roles in AI engineering, machine learning, data science, AI product development, solutions architecture or responsible AI and governance.
AI capability is relevant across technology and telecommunications, banking and financial services, consulting, healthcare, government, defence, retail, media and other data-intensive sectors.