The Computational Neuroscience Master's program at Humboldt University Berlin is an interdisciplinary, research-intensive curriculum designed to equip students with comprehensive knowledge of neural systems. It integrates principles from neurobiology, cognitive science, computer science, mathematics, physics, and engineering to foster innovative approaches to understanding brain function and behavior.
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The Computational Neuroscience Master's program at Humboldt University Berlin is an interdisciplinary, research-intensive curriculum designed to equip students with comprehensive knowledge of neural systems. It integrates principles from neurobiology, cognitive science, computer science, mathematics, physics, and engineering to foster innovative approaches to understanding brain function and behavior.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
87.0
Starting 2026-10-01
Apply before 2125-04-18
Unknown
Courses include:Models of Neural SystemsModels of Higher Brain FunctionsAcquisition and Analysis of Neural DataMachine IntelligenceProgramming Course and Project
No academic requirements found.
Applicants must hold a Bachelor's degree or equivalent, such as a German Diplom or comparable qualification, primarily in natural sciences, engineering, or mathematics. Proficiency in English is required. Candidates must demonstrate sufficient mathematical background, including at least 24 ECTS credits in linear algebra (minimum 6), analysis (including dynamical systems) (minimum 6), and probability theory and statistics (minimum 6).
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Annual Fee
2 years
Total Duration
No Living costs available.
No University Scholarships Available
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Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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