Big Data Analytics and Business Intelligence (BD)
July 26 - August 12, 2027
1 week online, July 26 - 31
2 weeks in-class in Munich, August 2 - 12
Key concepts: Big Data Analytics and Business Intelligence refer to a variety of methods and techniques for the analysis of large amounts of business data.
Learning objectives: Conceptual foundations of Big Data Analytics and Business Intelligence as well as the practical application using Microsoft PowerBI.
See also our Big Data Analytics and Business Intelligence Online Winter School (January 4 -22, 2027)
Financial Statement Analysis and Valuation (FAV)
July 26 - August 12, 2027
1 week online, July 26 - 31
2 weeks in-class in Munich, August 2 - 12
Key concepts: Financial Statement Analysis, Forecasting and Company Valuation.
Learning objectives: Analyze and forecast a firm’s business activities. Conduct a sound fundamental equity valuation to challenge market prices of real-world companies.
Artificial Intelligence and Machine Learning: Foundations and Applications in Corporate Finance (AI)
July 26 - August 12, 2027
1 week online, July 26 - 31
2 weeks in-class in Munich, August 2 - 12
Key concepts: Unsupervised Machine Learning, Supervised Machine Learning and Data Analytics.
Learning objectives: Handle large amounts of data (quantitative and qualitative data). Cope complicated real-world financial problems (e.g. loan default risks or price and volume forecasts) using machine learning approaches. Application: Clustering and Prediction, Data Analytics and Visualization in Python.
See also our Artificial Intelligence and Machine Learning Online Winter School (January 4 - 22, 2027)
International Management and Communications (IM)
August 2 - 27, 2027
2 week online, August 2 - 13
2 weeks in-class in Munich, August 15 - 27
Key concepts: Understanding of how to effectively communicate with various stakeholders, focusing on the business as well as on the private context.
Learning objectives: The goals of the course are an understanding of the basics of international business and improve understanding of management communications.