Master in Decision Science and Analytics
Turn evidence into decisions — causal inference, behavioural insight and analytics for leaders.
An applied master's that turns evidence into decisions. Causal inference, behavioural insight and analytics are taught as instruments of leadership — for people who must decide well, at scale, with incomplete information.
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.
- Causal inference and experimentation
- Behavioural economics
- Data engineering for decisions
- Predictive and prescriptive analytics
- Responsible use of AI in decisions
- Communicating uncertainty to leaders
- Real decision problem from your own context
- Faculty mentorship
- Defence before advisors
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.
- Causal inference
- Behavioural economics
- Data engineering for decisions
- Experimentation
- Applied thesis
An applied thesis on a real decision from your work or context — modelled, analysed and defended — producing a recommendation leaders can act on.
Analytics lead, decision scientist, strategy.
Bachelor's degree or equivalent demonstrated competence.
Analytics leadership for African organisations, taught live and online in English at regional tuition. Bring your own decisions to class and leave with evidence-based answers.