Curtin University

What you'll study

This masters combines core foundations in artificial intelligence with applied, industry-relevant specialisations. Typical study areas include machine learning and statistical methods, deep learning and neural networks, natural language processing, computer vision, reinforcement learning, data engineering and big-data technologies, plus AI ethics, governance and human-centred design.

Students usually complete a mix of compulsory core units and elective units that allow specialisation (for example in computer vision, NLP, or industrial AI). The programme commonly includes a substantial capstone such as an industry project or a research project/thesis that demonstrates the ability to design, implement and evaluate an AI system in a realistic setting.

Teaching emphasises hands-on development and deployment of AI solutions, using contemporary tools and cloud/compute resources. Typical assessment methods include coding assignments, project deliverables, technical reports and presentations.

Entry requirements

Applicants are normally required to hold a recognised bachelor's degree in computer science, software engineering, information technology, mathematics, statistics, engineering or a closely related discipline. Applicants with a degree in another field may be considered if they can demonstrate relevant professional experience or prior study in programming, mathematics and statistics.

Domestic and international applicants must meet Curtin University's academic entry standards and English language requirements; applicants who do not meet the standard academic entry may be eligible for postgraduate pathway programs or bridging study.

Career prospects

Graduates enter a wide range of roles across industry, government and research institutions. Common job titles include AI engineer, machine learning engineer, data scientist, computer vision engineer, NLP engineer, AI product manager, applied researcher and AI consultant. The degree is also suitable preparation for further doctoral research in artificial intelligence.

Industries employing Curtin AI graduates include technology and software development, finance, healthcare and medical technology, resources and mining, defence, government agencies and startups focused on automation and intelligent products.

Why study at Curtin University

Curtin offers industry-oriented teaching and access to computing and data facilities that support large-scale modelling and experimentation. The university has active research groups working in machine learning, computer vision, natural language processing and applied AI, providing opportunities for students to engage with research projects and supervisors.

Curtin’s strong industry links and local partnerships can provide avenues for project collaborations and real-world experience. The programme’s practical focus and capstone project are designed to build a portfolio of work that demonstrates employable skills to prospective employers.