All applications will have to be done through the uni-assist portal (exception: students of the TU Berlin apply directly through the TU system). Application deadline will be March 15, 2019.

The application should include the following:

  • all documents requested by the Technische Universität Berlin, according to this information; note that due to the early deadline, applicants do not have to supply a certificate of their finished degree, if this has not been issued yet; an up-to-date transcript of records is required in any case,
  • a letter of motivation describing why you want to study computational neuroscience at the BCCN Berlin, and how this ties in with your interests and the general goals you pursue(d) in your education,
  • a tabular CV listing activities and experiences relevant for the studies,
  • two letters of recommendation by your supervisors or lecturers; your referees can also e-mail their letters directly to Robert Martin <graduateprograms AT bccn-berlin DOT de>, with the subject line "Reference for MSc applicant <your name>",
  • documentation of sufficient mathematical knowledge, see prerequisites. Please use the form (“List of relevant mathematical courses”) below,
  • certificate of proficiency in English (non-native speakers only - see prerequisites below)
    • NB: Candidates willing to pass TOEFL iBT can mention the TOEFL code of uni-assist e.V. (2727), so that a copy of test results will be sent directly to uni-assist. Alternatively applicants can send a certified copy of their TOEFL results to uni-assist e.V.,
    • Please do not send any TOEFL certificates directly to BCCN, since this might cause misunderstandings and delays in submission and processing of your application.

Further information

  • Besides applying online, you are required to send hard copies of your certificates and a signed original application form. All required documents must reach Uni-Assist until March 15. Online applications only cannot be accepted. All copies have to be certified according to the Technische Universität Berlin guidelines. All documents that are not in German or English have to be translated by an officially approved translator.
  • Students may apply before receiving their Bachelor degree. However, candidates should submit an official transcript from their university listing completed subjects and achieved credit points (or academic hours). Applicants who cannot provide proof of a first degree qualifying for entry into a profession by the application deadline will be preliminarily admitted. This preliminary admission will be subject to the condition subsequent that the applicant will prove the successful completion of the first degree until the start of lectures.
  • Depending on whether you completed your previous studies at the TU Berlin or in another University, you will have to apply directly at the TU Berlin or via Uni-Assist. See here for detailed information. Applications cannot be sent to the BCCN Berlin.
  • For your online application with Uni-Assist, please follow this procedure:
  1. After having registered with Uni-Assist, you'll come to the section "Search Study Offers".
  2. Please choose the semester: winter semester 2019
  3. Please choose your desired qualification: Master
  4. And/or choose the university you are interested in: Berlin, Technische Universität Berlin
  5. In this way, you'll get a list of programs to choose from, please select: "TU Berlin - Master Uni mit Abschluss - Computational Neuroscience"


For any question regarding the formalities of the application, please contact the Servicebereich Master of Technische Universität Berlin. Information brochures and forms can be downloaded from the TU download center.

For questions concerning the required qualification contact the teaching coordinator or attend our information event for applicants (date tba, at BCCN Berlin).

For getting advice from current Master's students and hear about their experience at the BCCN, contact Celine Budding <celine.budding AT bccn-berlin DOT de>, Hymavathy Balasubramanian <hymavathy.balasubramanian AT bccn-berlin DOT de> and/or Adu Matory <adu.matory AT bccn-berlin DOT de>.



All students who are interested in neuroscience and have a strong mathematical background are welcome to apply. In accordance with the interdisciplinary nature of Computational Neuroscience the program encourages students from diverse disciplines such as natural sciences, engineering, or mathematics to file their application.

The following is required for an application:

  • a Bachelor or equivalent certificate ("erster Berufsqualifizierender Abschluss", e.g. German Diplom but not Vor-Diplom), typically in the natural sciences, in an engineering discipline, or in mathematics,
  • proficiency in English above B.2 level - non-native speakers should document this by the:
    • TOEFL test (570 pts paper-based, 230 pts computer-based, or 88 pts internet-based)
    • Cambridge Certificate of English: Advanced (CAE, min. grade C),
    • IELTS with at least band 6.5,
    • TOEIC with a minimum of 785 points (395 points in each section)
    • UniCert III (min. grade 3,0)
    • or an equivalent certificate like e.g. a proof that your previous studies were conducted in an international program with English as the official language (a simple interview is not sufficient)
  • sufficient mathematical knowledge (i.e. at least 24 credit points according to the ECTS) particularly in linear algebra (at least 6 credit points), analysis/calculus [including dynamical systems] (at least 6 credit poins), probability theory and statistics (at least 6 credit points).

The following is recommended but not compulsory for students applying for the program:

  • Some prior knowledge of neuroscience. If you don't have any, be prepared to read at least the introductory chapters of E. Kandel et al. 'Principles of Neural Science'.
  • Some prior programming knowledge.

Students who have taken the graduate record examinations general test (GRE, for further information see, may provide the score with their application, but we don't recommend taking the test in order to apply.