Summer School - Big Data Analytics 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: 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.
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.
International Management and Communications and Communication and Negotiation Styles (IMC + IMN)
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. Learn how companies use communications to implement strategy.
