Finance, Accounting & Economics

July 22 - August 9, 2024

1 week online, July 22 - 27
2 weeks in-class in Munich, July 29 - August 9
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.

July 22 - August 9, 2024

1 week online, July 22 - 27
2 weeks in-class in Munich, July 29 - August 9
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

August 5 - 23, 2024

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 22 - August 9, 2024

Target Group: Bachelor graduates with an interest in management practices and corporate communications.
Key concepts: Basics of international business, Intercultural Management and Management communications.
Learning objectives: Students will learn about various negotiation strategies to become better negotiators.

July 22 - August 9, 2024

1 week online, July 22 - 27
2 weeks in-class in Munich, July 29 - August 9
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.