TU Dortmund University campus

STEM

MSc Statistics at TU Dortmund University

TU Dortmund University, Germany

Programme overview

The Master of Science (M.Sc.) Statistics is a 4-semester master’s programme in the Department of Statistics at TU Dortmund University, taught in German. Students work with topics such as advanced mathematical statistics (probability theory, asymptotic statistics); statistical modeling (time series, survival times, regression, classification, statistical learning, and AI); specialization in the field of application (biometrics, econometrics, technometrics).

Faculty: Department of Statistics  |  Department: Statistics  |  Duration: 4 semesters (2 years)  |  Study mode: full-time; German-taught  |  Intake: Winter semester and Summer semester  |  Location: Dortmund, Nordrhein-Westfalen, Germany

What you will study

Topics include advanced mathematical statistics (probability theory, asymptotic statistics); statistical modeling (time series, survival times, regression, classification, statistical learning, and AI); specialization in the field of application (biometrics, econometrics, technometrics); practical projects (working with real, relevant data sets, scientific presentation and communication of results); minor subject (choice of more than 15 other subjects at TU Dortmund University). Modules build on one another following a recommended study plan per semester, with module descriptions in the published module manual.

Career pathways

Graduates work, for example, in banks and insurance companies; in the pharmaceutical industry; in the technical industry and manufacturing; in research and science; everywhere data is generated. Typical roles include statistical consultant; biostatistician; risk analyst/actuary; data scientist; research scientist.

Official programme page

Application information

Entry requirements

Admission-free (no NC). Enrollment requirement: specific enrollment requirements apply (see programme page). To gain admission and enroll in a Master’s degree program, applicants must meet the required access criteria. Applications are submitted via the Campusportal.

Intake: Winter semester and Summer semester

Duration: 4 semesters (2 years)

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