Finance, Accounting & Economics

July 27 - August 14, 2026

1 week online, July 28 -31
2 weeks in-class in Munich, August 3-14
Target Group: Bachelor students, Master students as well as young professionals and scientists with an interest in corporate finance and business intelligence.
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.

July 27 - August 14, 2026

1 week online, July 28 -31
2 weeks in-class in Munich, August 3 - 14
Target Group: Bachelor students, Master students as well as young professionals and scientists with an interest in company analysis and valuation.
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.

August 4 - 21, 2026

Target Group: Bachelor graduates with an interest in management practices and corporate communications.
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.

July 27 - August 14, 2026

1 week online, July 27 - 31
2 weeks in-class in Munich, August 3 - 14
Target Group: Bachelor students, Master students as well as young professionals and scientists with an interest in machine learning and data analytics.

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