Master’s Degree in AI
Critique → Adapt → Investigate → Lead
The AIDESA master’s standard supports advanced AI programs that develop specialized knowledge, critical inquiry, independent investigation and academic leadership.
Use it to review advanced learning outcomes, curriculum depth, research and project work, supervision and supporting resources.
Version 1.0 • Published • Open for continuous review
This voluntary reference standard supports self-evaluation and improvement. It does not confer accreditation, certification or formal recognition.
Nine quality domains
A common structure across all three program levels.
G1 — Program Purpose, Identity and Public Information
Clear objectives, graduate profiles, admission requirements and public disclosure.
G2 — Students, Admission, Progression and Support
Equitable entry, progression, accessibility and student advising.
G3 — Graduate Outcomes
Competencies aligned with qualifications, with evidence of achievement.
G4 — Curriculum Design and Progression
A coherent progression from foundations to advanced AI practice.
G5 — Assessment and Continuous Improvement
Evaluation of learning, academic data and documented improvement.
G6 — Faculty and Supervision
Qualified educators, relevant expertise and effective supervision.
G7 — Learning, Computing and Data Resources
Appropriate hardware, software, datasets and learning support.
G8 — Governance, Academic Integrity and Institutional Support
Leadership, ethical AI practice, integrity and institutional commitment.
G9 — External Engagement and Currency
Connection with evolving research, industry and regulatory contexts.
Published standards — Version 1.0