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Resources for AI Education
Supporting institutions with program development, curriculum review, evidence preparation and continuous improvement.
Curriculum reference areas
Computing and software foundations
Mathematics, statistics and optimization
Data practice and governance
AI methods appropriate to the qualification level
Standards development
Research and benchmarking, stakeholder feedback, practical application, documented revisions and controlled publication.
Use the published diploma, bachelor’s and master’s standards to inform self-evaluation and academic planning. Institutions remain responsible for applicable laws and qualification requirements.
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