Master in Artificial Intelligence
Deepen AI expertise across research and deployment.
A master's that deepens AI expertise across research and deployment — modern architectures, representation learning and the discipline of shipping responsible systems.
No passive lectures. A curriculum built for how the mind actually learns.
Every course runs as a live, high-intensity seminar. Preparation happens before class; class time is spent thinking, defending ideas and applying them. Progression is governed by demonstrated mastery — never by age or time served.
Engage independently with curated readings, problems and worked examples before every seminar.
Small live seminars built on structured discussion, argument and immediate faculty feedback — no lecturing.
Transfer each concept to real problems — ventures, research, systems and civic projects grounded in your own context.
Advance only when you can explain, defend and use what you know. Recorded oral explanation is central from the earliest years.
- Advanced machine learning
- Representation and deep learning
- AI systems at scale
- Safety, alignment and evaluation
- Ethics and governance
- Human-centred deployment
- Original research project
- Supervision and defence
- Publishable outcomes
Transferable habits of thought, practised in every course
Rather than memorisation, Simo trains a durable set of thinking skills that transfer across subjects, industries and a lifetime. They are introduced early, revisited deliberately, and assessed continuously.
Logic, quantitative and algorithmic thinking to frame, decompose and solve problems.
Framing hypotheses, designing evidence, reading data and reaching defensible conclusions.
Writing, speaking, visual and multilingual expression that persuades and clarifies.
Multiple causality, trade-offs and second-order effects in complex human and technical systems.
Combining ideas across disciplines to produce original, useful and beautiful work.
Judgement under real stakes — responsibility, fairness and the human consequences of decisions.
- Advanced machine learning
- Representation learning
- AI systems
- Responsible AI
- Research thesis
An original research thesis in AI, supervised and defended — with results aimed at publication or applied impact.
Applied scientist, ML lead, researcher.
Bachelor's degree or equivalent demonstrated competence.
Frontier AI research made reachable across Africa — live and online in English at regional tuition, so the next generation of researchers can build here, from here.