Course Offer

This page provides an overview of courses offered in the current and upcoming semesters. Links to course information given in the “Course schedule” 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

Course schedule

Offered courses in winter term 2025/26

Actuarial ScienceFinancial EconomicsMathematicsQuantitative MethodsOther

Derivatives, 7 CP

Risk Management in Insurance, 7 CP

Risk Theory I, 9 CP

Life-, Health- and Pension-Mathematics, 9 CP

Data Analytics in Life Insurance, 3 CP

Selected Questions in Insurance Mathematics, 3 CP

 

Asset Pricing, 7 CP

Derivatives, 7 CP

Investment and Risk Management, 6 CP

Business Unit Strategy and Corporate Finance, 7 CP

Behavioral Finance, 3 CP

Research in Finance, 4 CP

Risk Management in Insurance, 7 CP

Life-, Health- and Pension-Mathematics, 9 CP

Data Analysis: Prediction and Causality, 9 CP

Blockchain Fundamentals: Technology, Finance and Law, 4 CP

Financial Statement Analysis, 2 CP

 

Discrete Time Financial Mathematics, 5 CP

An Introduction to Measure Theoretic Probability, 4 CP

Time Series Analysis, 4 CP

Mathematical Statistics, 9 CP

Advanced Statistics, 4 CP

Risk Theory I, 9 CP

Mathematics of Machine Learning, 9 CP

Mathematics of Games II, 4 CP

Stable Distributions, 4CP

Graph Theory, 9 CP

Distributed Graph Algorithms, tba

Causal Inference, 4 CP

Selected Aspects in Stochastics of Risk Management, 3 CP

High Performance Computing I, 8 CP

Data Analysis: Prediction and Causality, 9 CP

Mathematics of Games II, 4CP

Learning Systems II, 6 CP

 

Seminars

Risk Management Roundup, 4 CP

Practical Actuarial Science, 4 CP

Interdisciplinary
Competences and Language Skills

Here's a first and third semester timetable (updated on October 6, does not necessarily contain all offered courses).  Please verify the credit point information given here 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 and include them in your study plan.

If you want to take an exam in a course that is offered this term but that is not listed here you must clarify this with Prof. Löffler by the end of October. 

* Please note that German language courses other than the ones specifically offered for international MSc students are usually not eligible. Furthermore, English language courses below C1 and language courses in your mother tongue are not eligible.

Courses that are taught in German that can be taken for Actuarial Science include: Ausgewählte Aspekte der Aktuarwissenschaften: Datenanalyse und Stochastische Modelle in der Schaden-/Unfallversicherung (4 CP)

Courses that are taught in German that can be taken for Quantitative Methods include: -

 

 Note that there are DAV Supplements which can be obtained in the following courses:

  • "Versicherungsmathematik"  (one part, other part can be obtained in Risk Theory II) in Life,- Health and Pension-Mathematics
  • "Angewandte Stochastik" in Risk Theory I
  • "Finanzmathematik und Risikobewertung" in Derivatives
  • "Unternehmenssteuerung" in Risk Management in Insurance

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 Stefan Rausch.

Courses to be offered in the next semesters

This schedule is preliminary and may be subject to change.

Actuarial ScienceFinancial EconomicsMathematicsQuantitative MethodsOther

Insurance Economics, 6 CP

Risk Theory II, 9 CP

Asset Liability Management, 10 CP

Actuarial Data Science, 7 CP

Management of (Re-)Insurance Companies, 4 CP

Selected Topics in Stochastics of Risk Management, 3 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

Management of (Re-)Insurance Companies, 4 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

Mathematics of Games, 9 CP

Machine Learning and Decision Making, 4 CP

Actuarial Data Science, 7 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
Qualifications

 

This schedule is preliminary and may be subject to change.

Actuarial ScienceFinancial EconomicsMathematics
 
Quantitative MethodsOther

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 
(German or English)

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
Qualifications

 

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.