Course Offer
This page provides an overview of courses offered in the current and upcoming semesters. Links to course information given in the “Courses offered in the summer term 2026” section can only be accessed with a valid university account. To view an individual course page, you need to “enrol” for the respective Moodle course. This does not mean that you have to take the course or that you make any other commitments. You can also unenrol from a Moodle course at any time. Prospective students can find course descriptions for all offered courses here.
Courses offered in the summer term 2026
A timetable can be found here (does not necessarily contain all offered courses).
Please verify the credit point information given above using the information provided on the webpages for the course you are interested in. Please also ensure that you can choose the desired courses in your specialization.
If you want to take an exam in a course that is not listed here you must clarify this with Prof. Löffler by the end of April.
a) Project Class in Asset Management:
For students with specialization Financial Economics: Students are required to take either "Project Class in Asset Management" or "Practical Financial Engineering" as a compulsory course in "Other". Both courses cannot be taken as compulsory elective modules.
b) Please note that German language courses other than the ones specifically offered for international MSc students are usually not eligible. Furthermore, English language courses and language courses in your mother tongue are not eligible.
Courses that are taught in German that can be taken for Actuarial Science or Financial Economics include: Qualitatives Risikomanagement in der Versicherung (4 CP)
Note that there are DAV Supplements which can be obtained in following courses:
- "Wirtschaftliches und rechtliches Umfeld" in Insurance Economics
- "Schadenversicherungsmathematik" (one part, other part can be obtained in Life-, Health- and Pension-Mathematics during the winter term) in Risk Theory II
- "Modellierung und Enterprise Risk Management" in Asset Liability Management
Please contact the course instructors or Dr. Schelling if you have any questions about the DAV supplements.
If you need help in your course selection, you can contact the program coordinator Stefan Rausch.
Courses to be offered in the next semesters
This schedule is preliminary and may be subject to change.
| Actuarial Science | Financial Economics | Mathematics | Quantitative Methods | Other |
Derivatives, 7 CP Risk Theory I, 9 CP Life, health and pension mathematics, 9 CP Data Analytics in Life Insurance, 3 CP Ausgewählte Aspekte aus Aktuarwissenschaften, 4 CP tba | Asset Pricing, 7 CP Derivatives, 7 CP Business Unit Strategy and Corporate Finance, 7 CP Research in Finance, 4 CP Behavioral Finance, 3 CP Blockchain Fundamentals, 4 CP Life-, Health- and Pension-Mathematics, 9 CP Data Analysis: Prediction and Causality, 9 CP Financial Statement Analysis, 2 CP tba | Discrete Time Financial Mathematics, 5 CP An Introduction to measure-theoretic probability, 4 CP Risk Theory I, 9 CP Mathematical Statistics, 9 CP Advanced Statistics, 4 CP Mathematics of Machine Learning, 9 CP Graph Theory I, 9 CP High Performance Computing 1, 8 CP Numerical Optimization, 6 CP tba | Data Analysis: Prediction and Causality, 9 CP Learning Systems II, 6 CP tba | Seminars Risk Management Roundup, 4 CP Practical Actuarial Science, 4 CP Additional Key |
This schedule is preliminary and may be subject to change.
| Actuarial Science | Financial Economics | Mathematics | Quantitative Methods | Other |
Insurance Economics, 6 CP Actuarial Data Science, 7 CP Management of (Re-)Insurance Companies, 4 CP Qualitatives Risikomanagement in der Versicherung, 4 CP (German) tba | Credit Analysis, 7 CP Financial Modeling, 3 CP Advanced Financial Intermediation, 7 CP Issues in Emerging Market Finance, 3 CP Machine Learning and Decision Making, 4 CP Asset Liability Management, 10 CP Insurance Economics, 6 CP tba | Continuous Time Financial Mathematics, 5 CP Stochastic Analysis, 5 CP Risk Theory II, 9 CP Mathematics of Games, 9 CP tba | Market Analysis with Econometrics and Machine Learning, 7 CP Data Mining, 6 CP Machine Learning and Decision Making, 4 CP Advanced Methods in Data Mining and Machine Learning, 6 CP Learning Systems I, 6 CP tba | Seminars Practical Actuarial Science, 4 CP Practical Financial Engineering, 4 CP Project Class in Asset Management, 4 CP Additional Key |
Study plans
The study plans (study plans for students enroled before the winter term 2025/26 are available here) show typical courses of study, seperately for the three possible specializations. Note that the credit points stated per semester are not binding: You do not need to achieve exactly the stated number of points per semester.
A list with course descriptions for all available courses can be found here.