Finance and Information Management (FIM)

The Master's Programme in Finance and Information Management (FIM) offers a unique blend of quantitative and qualitative education, preparing graduates for leadership roles in today's fast-moving, hyperconnected digital economy. The four core areas – Computational Analytics, Quantitative Finance, Information Management, and Financial Management – develop financial as well as digital expertise covering technical, quantitative, and managerial aspects in both areas and offer the opportunity to delve as deeply into any of the four areas as one would in a specialised Master's degree. The emphasis on excellence in research and strong practical relevance ensures that students are not only well-versed in theory but also equipped to solve real-world challenges. The additionally offered Certificate of Research, Leadership, and Social Responsibility provides opportunities that are offered by only a few programmes worldwide: academic and professional one-on-one guidance from a distinguished professor and an esteemed member of the FIM corporate partners that help you discover your unique path to personal success; insights into top companies in today's economy; an active network of more than 20 years of alumni in top positions in today's society; the chance to engage in a social project that allows you to give back to society and teaches modesty; as a culmination, a supervised Research Project with the possibility of publishing your results in the academic community. The interdisciplinary approach of the FIM programme, the accompanying Certificate of Research, Leadership, and Social Responsibility, and the network around the programme prepare the talent of today for a leading role in academia or industry tomorrow in a highly innovative and impactful way. We welcome students with strong quantitative skills with a background in Economics, Industrial Engineering, Business & Information Systems Engineering, Information Systems, Computer Science, Mathematics including Financial and Business Mathematics, Statistics, or related study fields.