To all current applicants: Thank you kindly for your interest in our program and your application.
The master's degree Data Science is an NC restricted program, that means that you not only have to fulfill requirements but that there is also an limitation in capacity in the program and we therefore conduct a selection process.
You applied via uni-assist e.V. and if your application fulfills the formal criteria uni-assist will forward your application to our department.
Note that your application being forwarded only means your application met our basic formal requirements such as all required documents were submitted in due time and form. It does not automatically mean that with your application you meet the program's academic admission requirements. If your application does meet the program's academic admission requirements it automatically takes part in our selection process. To perform this selection process in a fair manner we have to consider all applications, meaning that this selection process will only take place when ALL applications are evaluated by uni-assist and our department - which can only be done after the deadline July 15, 2020. Due to evaluation of documents, a high amount of applications (>800 applications), limited capacities and a strike at uni-assist the evaluation process is quite long. We are working hard to provide you a response in the beginning of September.
As soon as all applications were processed and selection took place positive admissions will receive an e-mail to speed up the process. Positive admissions and rejections will receive notice (additionally) via post mail.
We seek for your understanding that due to COVID-19 application deadlines were shifted and the admission notification therefore will also be shifted.
Please understand that we cannot give more detailed information on the processing stage of your individual application. Please refrain from asking via email. Thank you for your patience.
You consider to study Data Science at Potsdam University but you are not sure whether you fulfill the subject specific requirements?
We ask for your understanding that we cannot assess academic eligibility prior to an application phase; it is a very time consuming process which can be done only once within a selection process.
That means it remains firstly at discretion of yourself to assess your eligibility. We experienced that some students struggled with hard restrictions only and therefore we collated substantial background knowledge in form of a Self-Assesment Test. You will find that the test is based on the field of mathematics and computer science. Generally you should be able to solve at least one of the parts (desirably both parts) without problems. There is the possibility to catch up in one of the fields during the first semester in form of a bridge module (more information below).
Please be aware that this test WILL NOT be part for your application documents. It solely is designed to help you to assess your personal eligibility because educational systems differ throughout the world. A good test result will not enhance your chances for admission. Your application only needs to fulfill the listed criteria in the discipline-specific admission regulation and depends on the selection process described there.
Frequently asked questions about the application and documents are listed at the webpage Frequently asked questions about master's degree application via uni-assist. Further administrative questions shall be addressed to the Office of Student Affairs with the particular contact: postgraduate admission.
Below we listed the frequently asked questions addressed to our study counselor. If you still seek advise especially in respect to the subject specific field of the program, feel invited to contact out study counselor.
Here we list short answers to the most frequently asked questions regarding the Master's Program in Data Science. All information given here can also be found in the relevant regulation documents, in particular the
Please read these documents (and possibly existing recent amendments - see here ) as well as the online information published by the University of Potsdam's Division of Student Affairs carefully.