Interdisciplinary methods and skills from the subject areas Business Administration, Financial Mathematics, Financial Management, Data Analytics, Business Information Systems and Energy and Resource Management; Content is examined from both a practical and a research perspective; Basic education in all subject areas within the core courses; Individual profile development subsequently within the elective courses; Soft skills training for interdisciplinary skills, such as leadership, teamwork, self-reflection, presentation technique.

International orientation with a broad range of research collaborations all over the world; Internationally active partner companies; Opportunity to study at an international partner university; Opportunity to complete a work placement in an international context and abroad; Courses (e.g. Financial Econometrics) and guest lectures (e.g. Nicolas Berente) held by international professors or practitioners; Numerous collaborations and projects with participating universities to organise stays abroad (Erasmus, TUMexchange,...).

Stanford University; MIT Center for Collective Intelligence; Lawrence Berkeley National Laboratory; Queensland University of Technology; Notre Dame University; University of Toronto; National University of Singapore; Erasmus University Rotterdam; Carnegie Mellon University; University of Calgary.

2 CIP clusters; Interactive whiteboards in seminar rooms, experimental laboratory with 32 spaces and eye tracking system, free WiFi access on TUM campus, video conferencing system; 200 workstations with internet/power connection; E-learning platform; Courses are recorded and put online/MOOC; Campus management system for student life cycle (application, grade excerpts, exam registration, grade registration); Access to online databases (including e-journals/e-books); Databases for empirical research (e.g. ThomsonReuters, Bloomberg); software licences for students (including SPSS, Stata, Unipark).

In the course of seminar papers, "individual research" phases or final theses, students can work on questions from ongoing research projects in the department. For example, you have the opportunity to carry out a comprehensive analysis of the current state of research, to support the design and implementation of laboratory experiments and surveys, as well as to perform factor analysis and other methods of data analysis. Many students also initiate their own research projects under the scientific supervision of participating professors.

The department supports students with start-up projects. Current examples: Integreat: Founded in 2015 by Daniel Kehne as an FIM student while still studying under the academic guidance of Prof. Krcmar; Celonis: Former FIM student Bastian Nominacher, along with the other founders of the Munich start-up, were awarded 1st place in the Federal President's Future Prize for their successful process mining software; Deepset: The startup founded by former FIM students is committed to the efficient application of NLP in practice.