Artificial Intelligence and Machine Learning: Foundations and Applications in Corporate Finance (MDA/AIW)

An increasingly complex global business environment requires firms to make use of the large amounts of data out there in order to make better decisions. The possibility of using machine learning approaches to cope with complicated real-world financial problems that are too complex for humans becomes more and more popular.

Academic Host
Institute for Market-based Management / LMU School of Management
Aim of the Course
This course aims to make you familiar with basic machine learning approaches and data analytics techniques by enabling you to use them for your professional benefit. Adopting a user perspective, you will learn to automate simple but time-consuming tasks such as classification of analysts’ conference calls into economically meaningful content.

Additionally, the course enables you to tackle complex prediction tasks using different information sources. For example, we will approach loan loss predictions or price and volume forecasts. Finally, the course gives you relevant data analytics skills such as the description, visualization and statistical analysis of such predictions. This is a hands-on class: We will use the programming language Python to apply the above concepts.
Target Group
People with an interest in numbers and logical relationships as well as basic statistical knowledge; no prior programming skills are required
Language of Instruction
English
Form of Instruction
Online and in-class
Dates
Summer School: online 27 - 31 July / in-class: 3 - 13 August 2026
Winter School: online only 4 - 22 January 2027
Application Deadline
Summer School: 1 May 2026 (early bird: 1 March 2026)
Winter School: 15 December 2026 (early bird: 1 September 2026)
Max. No. of Participants
20
Credits
6 ECTS
Registration, Costs and Further Information
www.mda-misu.de/en
www.ai-misu.de/en

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