University of Auckland

What you'll study

This programme covers foundational and applied topics in artificial intelligence, emphasising practical implementation and critical understanding of current methods. Typical subjects include machine learning fundamentals, neural networks and deep learning, probabilistic models and inference, and AI applications such as natural language processing and computer vision.

• Core modules — supervised and unsupervised learning, model evaluation, optimisation techniques, and ethical and societal aspects of AI.
• Practical computing — programming for AI (commonly Python and relevant libraries), data preprocessing, model training and deployment, and use of GPU-accelerated environments.
• Project work — applied assignments or a short supervised project that develop technical skills in designing, implementing and evaluating AI systems on real or benchmark datasets.
• Optional topics — depending on availability, you may study specialised areas such as reinforcement learning, probabilistic graphical models, or AI for healthcare and robotics.

The certificate is designed to be concise and focused; it can act as a standalone professional upskill or as a pathway into further postgraduate study in computer science or specialised AI programmes.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in computer science, engineering, mathematics, statistics, or a closely related discipline; or to have equivalent professional experience demonstrating quantitative and programming skills. Prior exposure to programming and basic statistics or linear algebra is typically required.

• Academic transcripts demonstrating an appropriate undergraduate qualification in a relevant field.
• Evidence of programming ability (for example, coursework, projects or work experience using languages such as Python or MATLAB).
• Applicants whose first language is not English will need to meet the University’s English language proficiency requirements.

The University assesses applications holistically; candidates with substantial professional experience in data analysis, software development or related areas may be considered even if their primary degree is in a different subject.

Career prospects

Graduates of the Graduate Certificate in Artificial Intelligence typically move into or accelerate careers that use data-driven and AI methods. The programme equips students for roles that require practical machine learning and AI skills.

• Machine learning engineer or AI developer — building and deploying predictive models and AI-driven systems.
• Data scientist or data analyst — applying statistical and machine learning techniques to extract insights from data.
• Software engineer with AI specialisation — integrating intelligent components into applications and services.
• Product or technical roles in sectors adopting AI — such as healthcare, finance, retail, logistics, and public sector analytics.
• A pathway to further study — successful students can use the certificate as preparation for a longer postgraduate qualification in computer science, data science or artificial intelligence.

Why study at University of Auckland

The University of Auckland provides access to strong computing and data science expertise within its School of Computer Science and related departments. Students benefit from experienced academic staff, practical computing facilities and opportunities to engage with research groups working on machine learning and AI topics.

• Teaching that balances theoretical foundations with hands-on projects and modern toolsets.
• Connections to Auckland’s technology sector and industry partners, offering pathways to internships and applied projects.
• A supportive postgraduate environment with access to computing infrastructure, seminars and a community of researchers and practitioners in AI and data science.