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FACT corresponds to the financial function in the company, that is, it covers the responsibilities of a Chief Financial Officer and also the analysis and control within the company based on financial data.

The following list gives you a general overview of the interesting topics that are covered in the FACT cluster as well as information about the Bachelor¡¯s and Master¡¯s modules in which you can learn more about the respective topic.

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CAPITAL MARKET: SHARES, BONDS, AND DERIVATES

You are interested in the capital market? You want to know how warrants and options are valued and whether it is possible to earn money with them? What asset backed securities are and what role they play in the financial crisis? Then you have come to the right place! To answer these questions in the Bachelor¡¯s degree, attend the ¡°Financial and Bank Management¡± and ¡°Advanced Financial Management¡± classes and the Master's ¡°Data Engineering¡± as well as ¡°Financial Engineering and Structured Finance¡± classes.

BUSINESS VALUATION, MERGERS & ACQUISITIONS

In this context, it is not only about assessing the value of companies, but also the component parts of companies. Which information can be gathered from balance sheets, which cannot? How do business combinations work (mergers and acquisitions)? You can find out more about this, among other things in the Bachelor¡¯s ¡°Balance Sheet Accounting III¡±, ¡°Corporate Finance¡±, ¡°BTax3¡± classes and in the Master¡¯s ¡°Capital Market-Oriented Corporate Management¡±, ¡°Business Valuation¡±, ¡°Business Planning and Analysis¡±, ¡°Accounting of International Companies¡± as well as ¡°MTax3¡± classes.

CORPORATE MANAGEMENT & MANAGEMENT ACCOUNTING

Large corporations are made up of numerous subsidiaries. Yet how are these (international) corporations with worldwide activities controlled beyond national borders and cultural boundaries? Which indicators are suitable for controlling and measuring the performance of a business? Which information can be used to make successful decisions? What effect do measures such as ¡°Employee of the month¡± have? Let us answer these and other questions, in the Bachelor¡¯s topics in ¡°Principles?of Management Accounting¡±, ¡°Value-based Management¡°, ¡°International Taxation¡± and then further in the Master¡¯s topics of ¡°Management Accounting¡±, ¡°Business Planning & Analysis¡±, and ¡°MTax1¡±.

RISK MANAGEMENT & RISK CONTROL (BACHELOR¡¯S) OR MACHINE LEARNING & DATA SCIENCE (MASTER¡¯S)

Big data play an increasingly large role in the financial sector and the economy in general. Large quantities of financial data can be better evaluated today and can therefore be used for different areas. These data help to make the best possible decisions and to prepare suitable forecasts. Current issues concerning these are: How can financial risks be measured, evaluated, and assessed? Can the returns of securities be predicted? Which data science methods can be used to evaluate and analyze large financial data records? You will find out more about this in the Bachelor¡¯s ¡°Statistics and Finance with Excel¡±, ¡°Risk Management¡±, ¡°Mathematics of the Financial Markets¡± modules and in the Master¡¯s ¡°Financial Market Econometrics Seminar¡± as well as the ¡°Data Science Project¡± modules.

DIGITAL FINANCE, DATA SCIENCE, PROCESS MINING

Business?profit from the digitalization of the financial processes in diverse ways. Business & Information Systems Engineering plays an important role here, not only from a technical perspective but also for their application. Yet how to organize entrepreneurial change through digital transformation? How can decisive business processes be automated and standardized so that they function faster and better, but are also made more flexible, for example, in crises? We invite you to think about this and develop problem-solving approaches with us in the Bachelor¡¯s ¡°Value-based Process Management¡±, ¡°Data Mining Project Study¡±, ¡°Advanced Methods of International Finance and Information Management¡± classes as well as in the Master¡¯s ¡°Strategic IT Management¡± and ¡°Data Engineering incl. Practical Workshop¡± classes.

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