Degrees Explained: Financial Engineering


Information technologies are at the origin of the rise of financial engineering. The theories and practice of finance today are challenged by complex financial and global systems and constantly changing regulatory and political environments. A world in transition creates both opportunities and challenges for experts who can transform theoretical and financial constructs into profitable and innovative instruments, tailor-made in the market.

How do you get there? Through financial engineering.

Financial engineering is a relatively new field of study. Various fields, such as economics, mathematics, computer science and financial theory are integrated and used for develop algorithmic or artificial intelligence trading programs which are used in the financial markets. Many areas, including corporate finance, risk management, and derivatives, involve financial engineering.

The finance industry needs people with in-depth skills in mathematical modeling and computer science. If you feel comfortable in pressured environments and can take on the challenge of making ethical and sound financial decisions, this could be the place to be. specialization in finance for you.

financial engineering

Students are trained in basic financial engineering skills and in the use of key mathematical models that are fundamental to analyzing financial problems. Source: Jung Yeon-je / AFP

What am I going to study?

An MSc in Financial Engineering is the subject of advanced and contemporary study in Financial Engineering which helps to better understand the risks of modern financial securities and to develop robust risk management systems.

Students will learn to use software packages to perform statistical analyzes and empirical studies. They acquire the ability to integrate mathematical, statistical and computational knowledge in order to approach, critically analyze and provide a rational assessment of a problem.

Teaching focuses on finding optimal solutions to financial problems in larger and challenging environments and trains students specifically in independent study and research, which is a core skill for quantitative analysts.

Students are trained in the use of key mathematical models which are fundamental in analyzing financial problems. The option modules include areas of concentration such as corporate finance and financial markets; IT finance; Algorithmic technology and finance; and risk financing.

What are the entry requirements?

The program is aimed at holders of a bachelor’s degree in mathematics, advanced mathematics, economics, finance, statistics, science or engineering. A minimum of an upper second, as well as strong math and programming skills are recommended. If deemed necessary by the respective institution, applicants may also be required to demonstrate proficiency in English by TOEFL or IELTS.

What are my career options?

You will be equipped for roles such as financial engineer, investment manager, portfolio manager, risk manager, business strategist, financial manager, quantitative analyst, financial manager or analyst. You will likely work for insurance companies, asset management companies, hedge funds, and banks.


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