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Contact Student Advisory Service

E-Mail Adress of the Student Advisory Service:
studienberatung@statistik.tu-dortmund.de

 

 

Prof. Dr. Christine Müller
Student Advisory Service
Tel.: +49 231 755 - 4238
cmueller@statistik.tu-dortmund.de

 

JProf. Dr. Uwe Ligges
Student Advisory Service
Tel.: +49 231 755 - 4353
ligges@statistik.tu-dortmund.de

 

Dr. Matthias Arnold
Student Advisory Service
Tel.: +49 231 755 - 5203
arnold@statistik.tu-dortmund.de

 

Dr. André König
Student Advisory Service
Tel.: +49 231 755 - 3164
akoenig@statistik.tu-dortmund.de

 

Dipl.-Stat. Claudia Köllmann
Student Advisory Service
Tel.: +49 231 755 - 3455
koellmann@statistik.tu-dortmund.de

 

Dipl.-Stat. Sebastian Krey
Student Advisory Service
Tel.: +49 231 755 - 3057
skrey@statistik.tu-dortmund.de

 

Statistics - Diploma* (discontinued)

 

Foundation Course

In the two year foundation course as part of the diploma in Statistics, students will be taught the essential mathematic and statistical basics (Analysis, Vector and Matrix calculations). The course is split up into modules according to a point system (ECTS, European Credit Transfer System) and each module will be evaluated  at the end of the each course, i.e. through exams at the end of each semester.

In the first two semesters accompanying lectures students will receive an introduction to a statistical software package. This allows what is learned to be put to use in practical problems. The completion of the Foundation Course builds the pre-diploma, which is made up of 6 modules. Students should expect to sit at least 4 oral exams and also an exam in a minor subject.

Main Study Period

In the subsequent main study period, separate from a furthering in mathematical statistics, particular focuses can be chosen. In doing so the following areas must be covered:

  • Specialist areas of Statistics
  • Quantitative Methods in a minor field of study
  • Computer supported Statistics, Operations Research or Numerics
  • Data Aquisition and Stochastic Processes
    • Advanced Experiment Design or Sampling Processes (Data Acquisition)
    • Stochastic Processes: Methods for time dependent series, e.g. Time Series

A clearly restricted theme will be independently prepared in two Seminars and then presented in a talk about the subject. There will also be two practicals (case studies) which will present the opportunity to pose more relevant, more statistical questions, and everything from the preparation of the analysis of the data sets to presentation of the results and the formulation of a topic for the thesis. A main focus of this process is also team oriented work with independent organisation and efficient allocation of the workload.

In the thesis work (6 months) students have the opportunity to show they have the ability to effectively work on a problem in the area of statistics using scientific methods.

9 modules must be passed to sit the final examination, this includes among others 3 oral examinations in the major subject and an examination in the chosen focus.

Information on the foundation and main course content can be found in the study regulations.

 

Please take note that the course and exam information is in some cases temporary and therefore is subject to change at any time.

*From 2007, all courses of study in NRW will be available in the two tier study structure (3 year Bachelor, 2 year Masters). Statistics will also be available in the structure; the course was accredited in March 2007. Further information on the Statistics courses available (B.Sc./M.Sc.) can be found here.Studiengänge