Für VDI nachrichten Stipendiaten

Our Master’s program in Financial Engineering  offers you a unique combination of finance theory, engineering methods,  management tools, mathematical and computational techniques – blended  with new developments from the field of artificial intelligence and data  science. Financial Engineering introduces you to these techniques in a  practical way, with a focus on hands on applications implemented in the  Python programming language.

Focus Points of Financial Engineering

• Data Science
• Machine Learning For Business And Finance Innovations
• Data-Driven Decision Making
• Financial And Risk Management With Python

“We see modern Financial Engineering as the science of  data-driven decision making in business environments. Building more  accurate models reduces uncertainty around future events and paths the  way to better decision making. It is a mix of broad decision-making  applications, sound data and modeling work, paired with an  entrepreneurial drive to solve innovation challenges using modern  software and financial thinking, that makes our Master’s Program in  Financial Engineering a unique experience.”
Prof. Dr. Maxim Ulrich

The  Master's program Financial Engineering is diveded into 5 Engineering  and 5 Management modules of 2 weeks, each over a period of 15 months.  The modules are followed by a Master Thesis written in the company (6  months) and often used as an innovation project for the company. The  overall duration is approx. 20 months.

Engineering Modules 

• Digital Financial Markets
• Financial Economics for Data Scientists
• Machine Learning for Data-Driven Decision Making
• Engineering Aspects of Financial Markets
• Alternative Data and Machine Learning for Business Applications

Management Modules 

• Marketing & Information
• Finance & Value
• Decisions & Risk
• Innovation & Projects
• Strategy & People

Crash Course*: "Probability and Statistics" (preparatory modules)