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    Technische Universität Berlin

    Master in International Master's Programme in Computational Neuroscience

    Berlin, Germany2 yearsTaught in EnglishOpen to international students

    Why students choose this program

    • Taught in English
    • No application fee

    About Master in International Master's Programme in Computational Neuroscience

    Tuition is No tuition fees; 360 EUR/semester. The application deadline is 15 Mar.

    Computational Neuroscience draws on mathematics, physics, computer science and engineering to study the brain. This programme integrates experiment, data analysis and modelling, and provides a common scientific language across neurobiology, cognitive science and information technology. Research within the field addresses neural disorders, biological processes, information technologies, and human-machine interaction. The 4-semester structure divides into a foundations phase and a research-oriented phase. The first two semesters build competence through modules covering neural systems, higher brain functions, neural data acquisition and analysis, machine intelligence, and programming, alongside individual study supported by mentors. The third semester is devoted to lab rotations, with each student completing three projects of approximately two months in different laboratories affiliated with the Bernstein Center, covering at least one theoretical and one experimental project. The fourth semester centres on thesis research and is complemented by advanced topic courses, concluding with an oral defence. This is a joint degree programme of TU Berlin and HU Berlin, organised by the BCCN Berlin, with teaching in Berlin, Germany.

    Planning the visa? Germany student visa: cost, requirements and processing time (from $190 all-in)

    English Test Requirement

    B2 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® II Cambridge English Qualifications: B2 First TOEIC: 880 Reading: 430 Listening: 450 Speaking: 180 Writing: 170 IELTS Academic: 6.5 TOEFL iBT (before 2026): 87

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