Finance, Accounting & Economics

Programs

Financial Statement Analysis and Valuation (FAV)

July 28 - August 14, 2025

  • 1 week online, July 28 -August 1
    2 weeks in-class in Munich, August 4 - 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.
     

Machine Learning and Data Analytics in Finance and Accounting (MDA)

July 28 - August 14, 2025

  • 1 week online, July 28 -August 1
    2 weeks in-class in Munich, August 4 - 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

International Management and Communications (IM)

August 4 - 22, 2025

  • 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.

Big Data Analytics and Business Intelligence (EBI)

July 22 - August 14, 2025

  • 1 week online, July 28 -August 1
    2 weeks in-class in Munich, August 4-14
  • 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.
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