CAS Data Science and Artificial Intelligence for Risk Analysis
Apply now to the March 2027 cohort!
AI and quantitative methods for complex, extreme and emerging risk
The Certificate of Advanced Studies (CAS) in Data Science and Artificial Intelligence for Risk Analysis develops the quantitative framework and technical skills required to use AI responsibly in finance and insurance. Participants begin with the foundations of risk measurement, pricing, aggregation and capital allocation, then apply statistical learning, machine learning, deep learning and carefully scoped generative AI methods to realistic risk problems. Particular attention is given to extreme events, complex dependencies, climate and environmental shocks, cyber risk, contagion and liquidity stress, model validation, explainability and governance.
Your programme at a glance
| Start | March 2027 |
| Duration |
6-9 months, split as follows:
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| Application deadline |
November 30, 2026 Apply Now! |
| ECTS |
15 |
| Classroom time |
Approximately 15 classroom days |
| Workload |
Approximately 450 hours total workload, including 90 classroom hours, guided homework, assessments and approximately 90-hour capstone. |
| Language | English |
| Methodology |
On-site lectures, hands-on labs, case studies, seminars, videos and mentored project |
| Tuition fees | CHF 10'750 |
| Location | Zürich |
