Winter School Artificial Intelligence and Machine Learning (AI)
Foundations and Applications in Corporate Finance
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.
Machine learning allows to “automatically detect patterns in data, and then use the uncovered patterns to predict future data” (K. Murphy, Research Scientist at Google).
It is rapidly developing and changing businesses as well as companies’ financial processes. This opens up the possibility of using machine learning approaches to cope with complicated real-world financial problems.
- Academic Host
- Institute for Market-based Management / LMU School of Management
- Aim of the Course
- This course aims at making you familiar with basic machine learning approaches and data analytics techniques by enabling you to use them to 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
- We offer this program for Bachelor students, Masters students and young scientists to support their successful placement in attractive fields of activity.
There are no prior programming skills required. However, an interest in number and logical relationships as well as a basic statistical knowledge are advantageous.
Prerequisites for participation are a good command of written and spoken English. Lectures, presentations and examinations will be held in English. Even though we do not require students to submit language test results, we urge students with poor language skills to abstain from applying. - Language of Instruction (LEVEL)
- English
- Form of Instruction
- Online
- Dates
- 2 - 22 January 2026
- Application Deadline
- 15 December 2025
- Max. No. of Participants
- 25
- Credits
- 6 ECTS
- Registration, Costs and Further Information
- www.ai-misu.de/en