Seminar: Seminar in Empirical Finance (3 ECTS, 2 SWS)
The aim of this seminar is to introduce the student to empirical data work in financial economics and investments.
Praktikum: Engineering FinTech Solutions (9 ECTS, 6 SWS)
This project invites students to either pursue their own FinTech innovation project or to contribute to the Chair's ongoing innovation projects. Students will learn to connect innovative financial research with modern information technology to build a prototype that solves some daunting tasks for professional end-users in the field of modern asset and risk management. The course is targeted to students with strong knowledge in the field of computational risk and asset management and strong programming skills. It offers students the opportunity to develop an algorithmic solution and hence ample their programming experience and their understanding of financial economics or asset and risk management.
In order to take the course "Engineering FinTech Solutions", students must have completed the module "Data Science for Finance" with a grade of 1.3 or better.
Seminar: Seminar in Data Science for Finance (3 ECTS, 2 SWS)
The aim of this seminar is to master real-world challenges of computational risk and asset management. The CRAM team offers a wide range of topics across different asset classes and different stages of the investment process.