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441-2001-00L 2 Credits WBZ D-MATH

Cases in Machine Learning in Finance 2

Lecturers & Examiners: Prof. Dr. Josef Teichmann, Prof. Dr. Patrick Cheridito, Dr. Bastian Jörg Bergmann
VVZ CR n/a

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
Frequency
Yearly recurring

Examination

Type
ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
seminar Cases in Machine Learning in Finance 2
  • By Appointment None-None
2 h weekly

Offered In