Master in Financial Engineering (FE)

• Customer Value Preposition
• Risk management: risk analysis, risk sensitiveness, risk assessment, and risk rating
• Machine learning for risk and asset management
• Financial technologies: financial prototyping & modeling with python
• Safety & security in IT systems (e.g. computational models to predict returns and to solve quant finance problems with modern software)
• Analysis of projects regarding the associated information, service and finance products used from the innovation to the product launch and after
• Asset management & optimal investment portfolios
• Derivatives: sensitivity analyses, static & dynamic trading strategies

The Master Program in Financial Engineering provides innovative solutions of pricing, hedging, trading and portfolio management problems by employing advanced mathematical methods and computer technology. Graduates will be qualified to consider challenges in the financial sector from an engineer’s point of view and to develop and optimize innovative solutions on the basis of fundamental economic laws. 

Knowing the Right Answer

After running through the Financial Engineering Master program you will have answers to vital questions like:

• Should company X manufacture product Y?
• Should company X build a warehouse in Z?
• How does a delay change the value of the project?

Making Better Decisions

Understand projects strategically helps to make better decisions:

• Learn which decisions need to be taken in order to leverage the value of the company/product.
• Recognize the strategy behind the project and understand the big picture
• Know what mergers, acquisitions and changes mean and how you can influence the consequences.
• Create compelling evaluation systems and key figures to present your project, your department and yourself the best.

The right decision: With this master program prepares you are prepared for a vibrant future!

Download the program brochure

The content of the Master Program is divided into 10 modules:

5 Management Modules presents broader knowledge in management know-how and 5 Engineering Modules provides deeper knowledge in technological topics.

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Crash Course:

• Participants without experience in the field of probability have to take part in the Crash Course “Probability and Statistics” taking place from November 13 to November 14, 2020 (Intake 2020).

We highly recommend all applicants to participate in the courses to update the technical knowledge, as it might be the crucial factor for a successful degree at HECTOR School.

• Digital Platforms
• Economics of Global Financial Markets
• Massive Data Sets and Machine Learning for Financial Engineering
• Advanced Finance Theory
• Financial Machine Learning with Artificial Intelligence
   
• Crash Course: "Probability and Statistics" (preparatory modules)      

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

Professionals working in financial product-oriented service sectors, e.g.:

• Investment and private banks
• Corporate departments in industry
• Insurance companies

Assessing and controlling different types of risks are key responsibilities in companies as well as in the financial sector. The quality of risk management processes is a crucial factor in the success or failure of the business. Increasingly complex financial products, various regulations and the enormous importance of information technology have created a great challenge both to financial and non-financial companies.

"Nowadays banking needs knowledge on high sophisticated and very actual level. In my opinion the HECTOR School Master program Financial Engineering is a very recommendable way if one wants to manage present and future challenges in the overall banking sector sucessfully. The new and state-of-the-art methods in risk management taught in the specific modules are a great help in my everyday practical work."

Phillip Schultheiß, HECTOR School Graduate FE
BBBank eG

Alumni Voices on Youtube

• University degree in a relevant subject
• Professional experience (at least 1-2 years) & current employment
• English proficiency

Detailed description of all admission requirements

The 10 teaching modules take place at the HECTOR School in Karlsruhe. More information on:

• HECTOR School Campus
• Acommodation for HECTOR School students
• Karlsruhe and the technology region

As the Technology Business School of the KIT, the HECTOR School benefits from the extensive university infrastructure of the worldwide renowned research and educational institution.

• KIT Infrastructure

The HECTOR School offers top-level teaching derived from state-of-the-art research at the Karlsruhe Institute of Technology (KIT). Numerous institutes and departments of the KIT are involved in the HECTOR School Master Programs FE: 

• Institute of Decision Theory and Management Science
• Institute of Economic Policy Research
• Institute of Finance, Banking and Insurance
• Institute of Industrial Production
• Institute of Information Law
• Institute of Operations Research
• Institute of Applied Business Studies and Management
• Institute of Applied Informatics and Formal Description Methods
• Institute of Economic Theory and Statistics
• Institute of Financial Engineering and Derivatives
• Institute of Information Systems and Marketing
• Institute of Product Development
• Institute of Statistics and Mathematical Economic Theory