There is no numerus clausus (this means that you only need sufficient language skills and a German University Entrance Qualification (HZB), but no special mark in your HZB, see also ”2. Which formal requirements do the Bachelor degrees Statistics / Data Analysis have?”).
- University Entrance Qualification (HZB). This will usually be your secondary education degree/school diploma or a completed university degree. Please refer to this website for further information.
- As almost all courses are taught in German, you will need a language certificate to prove your good knowledge of the German language. (See also “language requiremnets”)
You can start every winter semester (starting in October). A start in the sommer semester (starting in April) is not possible.
All applications are handled by the International Office. EU/EEA-citizens or applicants with university entrance qualification (HZB) obtained at member states of the EU/EEA need a (paper) application form. All other foreign applicants apply online via uni-assist.
Our Bachelor programmes start in each winter semester. The application periods are currently as follows:
- Non-EU/EEA: From March 15th to July 15th
- EU/EEA: From March 15th to the Friday before courses start
You can obtain information about the requirements here (EU/EEA) and here (Non-EU/EEA).
Obligatory:
- School report/school leaving certificate (secondary education) in the original language and a translation in German or English
- Language certificate (Please confer “Which language certificate do I need?”)
After you have received a letter of acceptance, the next step is to enrol at TU Dortmund University. Your letter of acceptance contains an enrollment deadline and office hours during which you can enrol, see also the following questions.
For information on how to prepare for your studies in Germany (visa, health insurance, accommodation etc.) please refer to this website.
To enrol, you can either go to the International Office in person during the office hours (see here) or you can send all the necessary documents by post. Please confer to this website (non-EU/EEA) or this website (EU/EEA) for details and for a list of the required documents.
You should bring basic knowledge in mathematics (school level) and enthusiasm for statistics and mathematics as our degree programmes are maths-based. In addition, analysing data with the help of computers play a central role. For that reason, learning a programming language (R) is vital and you should bring a certain passion for that. Soft skills like the ability to work in a team and good command of English are also useful.
Yes. In Bachelor Statistic, starting from the first semester, you will get taught in the statistical programming language R. The respective classes („Programmieren mit R“ for Statistics) will start with the basics. In Data Science, you start with the object oriented language Java ("Datanstrukturen, Algorithmen und Programmieren I"), R is tought in the second semester ("R for Data Scientists"). Prior knowledge of programming is not required in both cases.
It is possible that credits you received for courses in your earlier studies may be recognised in our Bachelor programme. Please enclose suitable certificates and documents in your application. (See also “14. Is it possible to start in the second year of studies?”)
In case you already completed some courses in a related study programme, you can apply to start in a higher semester. Please compare your completed courses with the courses of our Bachelor programmes. The courses should be comparable not only regarding the contents, but also regarding ECTS and type of exam. You can enclose certificates and supporting documents in your application. These will be checked by the appropriate examination board.
Unfortunately no. You will have to apply for admission again. Every admission is only valid for a specific semester. However you can include your admission letter (in addition to the other certificates) when re-applying. This may make processing of your application easier. Usually, applicants who were admitted earlier will be admitted again.