BackBCCN Berlin, Germany
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Bernstein Center for Computational Neuroscience Berlin,
Philippstr. 13,
Berlin,
Germany
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| Berlin, Germany | |
| Master's Program | |
| Computational neuroscience |
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BCCN Berlin, Germany52.527212 13.382144
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The International Master's Program in Computational Neuroscience is interdisciplinary and strongly research oriented. Neuroscience is one of the most intensively developing and important sciences of the 21st century. Understanding the functioning of the brain requires the collaborative efforts of neurobiologists, neuropsychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers. Students who have completed the Master Program will have the ability to communicate across these diverse disciplines which will help them to make their own contribution to the fast growing field of neuroscience.Course frequency
every year starting with the winter term (October)Fee
Free of charge
Language
EnglishAdditional information
Structure of the Program
The program consists of modules. A module covers a certain topic using different teaching methods such as lectures, tutorials, practicals, projects and seminars. A module’s mean workload is given in credit points. A credit point is defined in agreement with the European Transfer and Accumulation System - ECTS, i.e. 30 hours of student invested time correspond to 1 credit point. The Master Program covers 120 credit points in total, i.e. two years divided in four terms. Each of the four semesters covers 30 credit points, i.e. 900 working hours. Each module is followed by an exam.
Download full module catalogue (pdf 263 K).
Structure of the program
| Models of Neural Systems 12 LP |
Acquisition and Analysis of Neuronal Data 12 LP |
Machine Intelligence 12 LP |
Programming Course and Project 9 LP |
Individual Studies 3 LP |
1st year |
| Models of Higher Brain Functions 12 LP |
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| Lab Rotations (Three Projects) 3x9 LP |
Ethical Issues 3 LP |
2nd year |
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| Courses on Advanced Topics 10 LP |
Master Thesis 20 LP |
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Within
the first year of the program, students are individually brought to a
high level of competence in the basic fields of Computational
Neuroscience. The second year of the program is strongly research
oriented, including lab rotations and the master thesis.
Foundation (1st and 2nd semester)
The
modules ‘Models of Neural Systems’, ‘Models of Higher Brain Functions’,
‘Acquisition and Analysis of Neural Data’, each cover both the
theoretical as well as the experimental aspects of the respective
field. The modules ‘Machine Intelligence’ covers topics in machine
learning and artificial neural networks. The module ‘Programming Course
and Project’ teaches the students a programming language and how to use
it to specify, develop, document and test a larger program. Within the
first two semesters students also have the opportunity to fill gaps of
knowledge by individual studies tailored to their needs with the aid of
their mentor.
Research oriented phase (3rd and 4th semester)
The
third semester is devoted to lab rotations. Every student will
participate in research projects in three different laboratories
affiliated with the Bernstein Center. Each of the three projects lasts
for approximately two months (3 x 9 CP). The projects will be tailored
to give intensive hands-on experience to the students. They will carry
out individual research projects, and will be supervised by a senior
researcher. The three projects include at least one theoretical and one
experimental project. Additionally, students will take an obligatory
course on ethical issues and societal implications of brain research.
The fourth semester is primarily devoted to thesis research (20 CP),
and complemented by courses on advanced topics (10 CP). The Master
thesis is concluded by an oral presentation (defense).
Final degree
Master of Science (M.Sc.) jointly awarded by Technische Universität Berlin and Humboldt-Universität zu Berlin.
