Master´s programme in Stochastic Engineering

Study plan


During the Master’s programme in Stochastic Engineering you will study the following
courses (in part optional) and with the advanced seminar and the Master’s thesis you will
gain 90 ECTS credit points.


Foundation course group (24 weekly course hours, 30 ECTS credit points required)


Measure Theory and the Theory of Probability, Statistical Methods, Optimisation, Financial
Products and Financial Markets, Markov Processes and Queuing Systems, Stochastic
Differential Equations and Continual Processes.


The basics of mathematics, stochastics and financial products and markets are taught in these sessions. This knowledge is indispensable for the many applications of stochastic models. Taking these courses is compulsory.


Applications course group (12 weekly course hours, 15 ECTS credit points required)


Financial Engineering, Risk Management, Stochastic Models in Engineering, Time Series Analysis.


Building on the foundation courses, selected application fields are presented in
comprehensive detail, and the common methods and ‘toolkits’ for solving typical problems in practice are taught. Taking the courses “Financial Engineering” and “Risk Management” is compulsory. One further course from the Applications course group can be chosen freely.


Computer Science and Economics course group (8 weekly course hours, 10 ECTS credit points)


- Pattern Recognition, Speech Recognition, Modelling and Simulation, Investment and
Financing, System Theory, Microeconomics etc.


- Embedded Systems, Secure Systems etc.


You must choose two courses from this course group from other Master’s programmes. The courses listed are not necessarily offered every semester, but a sufficient number of options will be ensured.


Creating Personal Profiles course group (4 weekly course hours, 5 ECTS credit points)


Decision Theory, Project and Quality Management, Social Skills.


One course from this group must be taken.



Advanced Seminar (4 weekly course hours, 5 ECTS credit points)


Master’s Thesis (25 ECTS credit points)


Those who wish to commence studies in the winter semester as a full-time course can get an impression of the recommended course attendance per semester from the following table. Options are marked with Y (instead of X).


Recommended attendance for the Master’s programme in Stochastic Engineering


For the part-time variant, where only half of the sessions are attended on average per
semester, we recommend that you primarily take the foundation courses in the first two
semesters, before then focussing on the remaining courses, especially those from the
Applications course group.