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Statistik: mehr als Erbsen zählen

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Lecture Overview and Timetable

More information about the courses at the faculty of statistics can be found here (in German).

Preliminary Courses for the Master's Programmes

Before the start of the lectures you should check out our precourses which will help you to prepare for your upcoming master and to refresh your knowledge of all the important stuff from your bachelor courses. There will be 3 different pre-courses:

The first one is a statistics pre-course in German language which covers especially the most important content of the statistics bachelor. It takes place 3 weeks live on campus or via zoom (due to the corona virus). It is recommended if you prepare for the statistics master.

The second and third pre-courses are e-learning courses on the learning platform moodle in English language. They have no fixed timetable. So, you can do them where and whenever you want.

One of them is a online statistics course. It mostly covers the same content as the first precourse and is recommended for both master's programmes Data Science and Econometrics. The other one is a data science course and is highly recommended for all data science students.

For more information click here

Elective Courses taught in English (Winter Semester 2020/21)

The following elective courses will be held in English.

Links and further information will be added once they are known.

Statistics Department

  • Advanced Statistical Learning
  • Statistical Methods in Genetics I
  • Statistical Theory
  • Generalized Linear Models
  • Advanced Econometrics: Panel Data Econometrics
  • Introductory Case Studies

Some of the seminars can be participated in in English.

Computer Science Department

Mathematics Department

TBA

Elective Courses taught in English (Summer Semester 2020)

The following elective courses will be held in English. Click the links for further information.

Times and places still can change, make sure to check them again at the start of april.

Statistics Department

Computer Science Department

Mathematics Department