Course Offerings WINTER TERM

 

 

BACHELOR'S, MASTER's and PhD Level

 

One Masters module (Msc) and one PhD module (PhD) are offered during the winter term.

                   

MODULE (MSc): ADVANCED MACHINE LEARNING AND DATA SCIENCE

9 ECTS Research Project

This research-oriented module offers highly motivated Master students the opportunity to work in small interdisciplinary teams (2–6 students) on applied machine learning and data science problems using real-world financial data. Students from industrial engineering, computer science, mathematics, and related fields are welcome—team composition may intentionally combine complementary skill sets.

Topics

Projects cover modern machine learning techniques with direct application to financial market data. Examples include:

  • End-to-End Model-Based Reinforcement Learning

  • Deep Supervised Learning and Forecasting

  • Natural Language Processing applied to financial communication and market sentiment

All topics are connected to ongoing research projects at the Chair of Financial Economics and Risk Management and align with the broader KABFI Ph.D. research environment.

️ Organization & Timeline

  • Kick-Off Session (Virtual):
    1st day of lecture period, 17:30–20:00
    The kick-off takes place online via Microsoft Teams. You will receive an overview of all available topics, details on the project structure, and have the opportunity to ask questions.
    LINK WILL BE ANNOUNCED

  • Topic Selection Deadline:
    Within 48hrs: Please submit your Priority A and Priority B topic preferences within 48 hours after the kick-off.

  • Contact:
    Prof. Dr. Maxim Ulrich – maxim.ulrich∂kit.edu

Student Perspective

„Der Kurs <Advanced Machine Learning and Data Science> hat mir eine gute Möglichkeit geboten, auch ohne einen Finance-Hintergrund mein Wissen aus der Informatik erfolgreich anzuwenden. Zwar bekommt man jederzeit Hilfe bei Fragen, doch es war wirklich notwendig, sich intensiv mit dem Thema auseinanderzusetzen und eigene Ideen einzubringen, um den Kurs sehr erfolgreich abzuschließen. Besonders positiv fand ich, dass das Projektthema in Absprache mit de


                                                                                                                      

MODULE (PhD): DEEP FINANCIAL ECONOMICS

- This module is a research oriented discussion group to assess the quality and impact of newly published research papers. Roughly 3-6 papers are presented per week and discussed.

- Researchers from other research groups and departments are very welcome to participate

- contact: maxim ulrich ∂does-not-exist.kit edu