The course is aimed at data-savvy central bankers, regulators and supervisors in areas such as information technology and statistics, or research departments interested in implementing machine learning methods.

Mid-level central bank officials working in the area of macroeconomic analysis or projections. Candidates who wish to apply for the course should have a sound grasp of macroeconomic theory, and are expected to have a good understanding of basic econometrics and experience in the use of commonly used modelling techniques.

Staff from HR units of central banks. Participants should have good knowledge of the systems and procedures used in their respective institutions to manage HR issues.

Economists and policymakers in central banks who strive to enhance their knowledge of digital central bank currency and the work done in central banks. Participants should have a sound knowledge of CBDC issues or of related issues with regard to payment systems, monetary policy, financial stability or banking supervision.