Target Group
Whether you are an executive making strategic decisions, a developer engineering AI-driven systems, or a manager driving innovation, this programme is designed to equip ambitious professionals with the deep machine learning expertise needed to stay ahead in the age of AI.
What you gain
You leave with more than knowledge. You leave with a working prototype, a transformation blueprint for your own organisation, a peer network of 20–30 like-minded professionals, and access to the wider ETH FinsureTech Hub community of faculty, alumni and corporate partners. Above all, you gain the confidence and vocabulary to lead AI transforma-tion with technical authority.
You bring:
- A strong academic background: Demonstrated by a Master’s degree acknowledged by ETH Zurich or an equivalent qualification, preferably in the natural sciences or engineering field.
- Industry experience: At least two years of professional experience in finance, banking, or insurance or related industries
- Proficiency in English: A solid command of English, as the programme is conducted entirely in English.
Participants profiles
Technical Transformation Leaders
Mathematicians, data scientists, engineers, actuaries, and IT architects seeking to scale from model expertise to enterprise leadership.
Business & Innovation Leaders
Directors, VPs, and senior managers in finance and insurance driving AI adoption and digital transformation at organisational level.
Consultants & Advisory Experts
Management and technology consultants building credibility in GenAI architecture, enterpri-se design, and AI governance.
Coding requirements: Prior coding experience is welcome but not mandatory. During the course you are expected to follow basic coding examples by leveraging GenAI coding tools as a basic requirement for the credits. In addition, you have the opportunity to deep dive into coding for a specific project guided by faculty and professionals.