VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Cases in Machine Learning (MOVED TO HS 2026)
Last Updated: 2026-06-03 00:14:10
Abstract
This course provides you with real-world case studies and projects in finance and insurance where machine learning methods have been successfully applied.
Objective
Get exposure to real-world case studies and projects in finance and insurance where ML methods have been successfully applied. Gain insights and understanding of the overall system landscape & architecture in which your machine learning model is embedded. Choose and deep dive into cases and applications guided by ETH faculty and professionals from finance, banking and insurance.
Content
Structured as an interactive workshop. Students select 3 out of 4 workshops offered between June, July and September. Workshops take place at ETH or at corporate facilities.
General Information
- Language
- English
- Levels
- WBZ
Examination
- Type
- ungraded semester performance
Registration & Places
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Cases in Machine Learning
Moved to the Autumn Semester 2026
|
|
2 h weekly |