School of Science
Computational Finance and Risk Management (minor)
![Two wealthy juppies in the 1980s working in finance.](/sites/g/files/flghsv161/files/styles/1_6_567w_354h_n/public/2024-05/Default_A_group_of_wealthy_1980s_juppies_3_men_and_2_women_wor_0.jpg?h=d10ae481&itok=swDhl2Vb)
Financial Risk Management is a field of study that uses a combination of quantitative methods, financial theories, applied mathematics, and computational tools to address and provide solutions for the issues that arise within the realm of finance.
Sweeping technological advancements, regularly updated financial products, large sets of data now readily accessible, along with continual changes in regulatory environments, are contributing to an increased level of complexity in financial services. These developments, in turn, lead to a growing demand for experts in Financial Risk Management, as well as creating numerous opportunities for high-level quantitative analysis.
A minor degree in Financial Risk Management equips students with a deep understanding of financial mathematics and the knowledge of methodological and computational techniques. This prepares graduates for successful careers in various fields such as banking, insurance, risk management and consulting. Additionally, it also prepares them to play the role of quantitative analysts within finance departments of manufacturing and service companies.
The minor degree consists of compulsory core courses worth 10-15 credits, and 5-15 credit elective courses that students can choose according to their interest from three modules: systems and operations research, computational methods, and advanced finance topics. In simpler terms, students are required to take certain key courses, while also having the flexibility to choose some courses based on their areas of interest and career goals.
Core courses of Computational Finance and Risk Management
TU-E2211 — Financial Risk Management with Derivatives 1
Financial risk management merges finance, engineering, math, and coding to manage financial risks, ideal for banking, consulting, and quant roles.
![A frog sitting on a reseach work paper on Finance](/sites/g/files/flghsv161/files/styles/1_6_288w_180h_d/public/2024-05/sammakko.png?itok=05nb0VpG)
TU-E2221 — Financial Risk Management with Derivatives 2
Financial risk management merges finance, engineering, math, and coding to manage financial risks, ideal for banking, consulting, and quant roles.
![Wall St](/sites/g/files/flghsv161/files/styles/1_6_288w_180h_d/public/2024-05/FRM2.png?itok=wrCudzDq)
TU-E2231 — Machine Learning in Financial Risk Management
Financial risk management merges finance, engineering, math, and coding to manage financial risks, ideal for banking, consulting, and quant roles.
![Machine Learning](/sites/g/files/flghsv161/files/styles/1_6_288w_180h_d/public/2024-05/FRM3.png?itok=MXH-tZmz)
Staff
Eljas Toepfer
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