Fast-evolving financial markets constantly set new challenges while progress in quantitative tools and computer technology opens up entirely new opportunities. Therefore, the finance industry needs people with deep knowledge of financial theory, mathematical tools, and information technology as well as adequate methods of engineering and management tools. FE qualifies graduates to meet all these needs.
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!
Professionals working in financial product-oriented service sectors, e.g.:
Investment and private banks
Corporate departments in industry
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 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.
Fluid Mechanics & Thermodynamics
Probability & Statistics
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.
Global Financial Markets
Valuation & Financial Analytics
Advanced Financial Engineering
Marketing & Information
Finance & Value
Decisions & Risk
Innovation & Projects
Strategy & People
Specific Admission Requirements
First university degree in:
or a related subject
Basic knowledge in:
Higher mathematics or stochastic
Basic knowledge in one of the following fields:
Micro- and macroeconomics
Finance or internal and external accounting
Under certain circumstances, other degrees may be accepted (e.g. depending on professional experience).
English language proficiency is required, e.g. English as mother tongue or test certificate (e.g. TOEFL score of at least 570 PBT; 230 CBT; 90 iBT or IELTS at least 6,5 points) or appropriate proof of C1 level.
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.