Technische Universität Berlin

Computational Neuroscience

M.Sc. (Master of Science)
Subjects: Computer Science, Neurosciences
M.Sc.
Degree
15
No. of places
English
English only
Language
Winter semester:  15 Mar
Application Deadlines
2 Years (starting: Winter semester)
Duration
Free
Tuition fees (per semester)
Starting
Winter semester
Mode of admission:
local admission restriction
Application:
Uni-Assist
Study mode:
On campus

Requirements


Qualification Requirements


Previous Degree

Bachelor's degree (or equivalent) typically in the natural sciences, in an engineering discipline, or in mathematics.

Also, the applicant must have 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 points), probability theory and statistics (at least 6 credit points).

Language Requirements


The following certificates are recognised as proof of your language proficience.

languageEnglish
CERF English
min B2
Cambridge
min C1 Advanced (CAE)
Specification: With grade of at least C.
IELTS
min 6.5
TOEFL CBT
min 230
TOEFL iBT
min 88
TOEFL pBT
min 570
TOEIC
min Speaking & Writing: 355
Specification: With at least 180 in speaking and 175 in writing.
TOEIC
min Listening & Reading: 880
Specification: With at least 450 in listening and 430 in reading.
UNIcert
min III
Specification: With grade of at least 3.
Does the university recognize "other equivalent language certificates"? no information provided by university

Additional information:
Other proof accepted is a certificate of successful completion from a bachelor program with English as the language of instruction (interviews in English are not sufficient). Native speakers are exempted from providing English language proficiency.

Application & Admission


Application Deadlines


Application Procedure & Selection


Mode of admission:
local admission restriction
Admission test/interview:
None
No. of places available:
15
Application:
Uni-Assist
Application Fee:
free of charge

Application Documents


The application should include the following:

  1. All documents requested by the Technische Universität Berlin. 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.
  2. 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.
  3. tabular CV listing the activities and experiences relevant for the studies.
  4. Two letters of recommendation by your supervisors or lecturers; your referees can also e-mail their letters directly to the university, with the subject line "Reference for MSc applicant <your name>". The letters must include the official letterhead and be signed by the referee.
  5. Documentation of sufficient mathematical knowledge (see previous degree field).
  6. Certificate of proficiency in English (see language requirements).

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's 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.

Further Information


For more information please check the

Course Website