Build the skills that
move Africa forward.

Macro, public finance, micro, and development — applied to African markets.

A complete economics curriculum focused on African economies: macro and central-banking, public finance and tax, microeconomics, development economics, and behavioural / household economics. Practical, not academic — grounded in the structural features that make African markets behave differently from the textbook.

Why good economics wins or loses in the real world of power.

Institutions, state capacity, collective action, and the political economy of reform — plus the public-choice analysis of voting, bureaucracy, and interest groups, and the economics of corruption and governance. The half of policy that pure economics leaves out.

How governments raise money, spend it, and decide what's worth it.

The applied public-finance specialization: designing and administering taxes, planning and managing public budgets, and appraising public spending with cost–benefit analysis. Built on the Kenyan and East African fiscal architecture.

Central banking, sovereign debt, and the open economy — from the inside.

The macro-policy specialization: how a central bank conducts monetary policy under developing-economy constraints, how sovereign debt is issued and restructured, and how exchange rates and the balance of payments tie a small open economy to the global cycle.

Trade policy, industrial policy, and the continental market.

The external-sector and structural-transformation specialization: the theory and instruments of trade policy, African regional integration and the AfCFTA, and the industrial and competition policy that shapes what an economy produces.

Knowing whether a policy worked — and measuring it honestly.

The applied-methods specialization for policy: impact evaluation and randomised trials, the quasi-experimental toolkit, and the survey design and measurement that every policy number depends on. Pairs with the Econometrics, Stata, and R courses in the Data Analysis path.

From cell to query to model — the analyst's skillset, end to end.

A structured curriculum to take you from spreadsheets to running real analyses on real data. SQL is the foundation; Stata, Python, and R are the working tools of an economist; econometrics is what turns the data into claims that survive scrutiny.

How money is priced, raised, and put to work.

Finance from first principles — time value, risk, return, capital structure, and the institutions that move money around the world. Practical, not academic. We start with the statements, because everything else builds on knowing how to read them.

The mathematics behind portfolios, derivatives, and risk.

A complete quantitative-finance mathematics curriculum — linear algebra, probability and statistics, time series, optimisation, portfolio theory, stochastic calculus, and the numerical methods that turn formulas into prices. Built for analysts who want the rigour of a top-tier MFE programme paired with the practitioner standards of a Morgan Stanley desk, with worked examples grounded in African and emerging-market data.

What every analyst needs to know about modern AI.

From foundations to deployment. The AI for Economists & Analysts course is the wedge product — a complete, premium curriculum that takes you from 'what is a token' to building a RAG application against your own data, with the AI tutor available in every module.