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Finance, Accounting and Economics Summer Schools

Summer School - Corporate Finance and Business Intelligence (EBI) Summer School - Machine Learning and Data Analytics in Finance and Accounting (MDA) Winter/Summer School - Financial Statement Analysis and Valuation (FAV) Management Practices and Corporate Communications in a Global Environment 

General

The LMU is one of the leading universities in Europe with a tradition of over 500 years. Our summer university enjoys an outstanding reputation for the excellence of their teaching and research. The courses in the group Finance, Accounting and Economics aims to familiarize students with approaches to solve real-world financial problems. Our lectures build on current research results preparing students for a future career in consulting, corporates and the financial industry. The graduates acquire extensive expertise (e.g. Business valuation, Squeze-Out, Carve-Out, Mergers and Acquisitions), as well as business method (e.g. machine learning, data analytics) competences and profit from an international environment. This provides a solid foundation for advancing to interesting expert and management positions.

Advance your career and widen your network !

Corporate Finance and Business Intelligence (EBI)

  • Target Group: Bachelor students, Master students as well as young professionals and scientists with an interest in corporate finance and business intelligence.
  • Key concepts: M&A process, Corporate Finance and Business Intelligence.
  • Learning objectives: Understand the M&A process as well as the fundamentals of corporate finance. Make use of modern business intelligence tools (e.g. Power BI) to tackle a wide variety of corporate financial decisions as well as financial modelling.

Financial Statement Analysis and Valuation (FAV)

  • 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)

  • 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.

Management Practices and Corporate Communications in a Global Environment (IM)

  • 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: The goals of the course are an understanding of the basics of international business and improve understanding of management communications