Neurosciences

English-taught master's programme in Neurosciences that combines molecular, cellular, cognitive, computational, and systems neuroscience with research-intensive training.

Academic requirements

basic knowledge and lab experience in biology, physics, medicine or psychology as well as high motivation in understanding complex systems

Minimum GPA

No fixed minimum GPA is published on the current official programme page.

English requirements

The reviewed official application page states that applicants need international C1 certificates in English. The reviewed official University of Bremen language-certificates page lists examples including TOEFL iBT 95+, IELTS 7.0-8.0, PTE Academic 76+, Cambridge Advanced minimum grade C, TOEIC Listening/Reading 945 plus Speaking 180 and Writing 180, or UNIcert III.

Accepted bachelor fields

The reviewed official application page states that applicants need a bachelor's degree qualifying for a profession in natural sciences, engineering, psychology, or mathematics, or another degree without major differences in content, with at least 180 credit points. It further states that applicants need at least 60 credit points in one or more prior-study sciences such as biochemistry, biophysics, biopsychology, data science, neuro- and cognitive sciences, genetics, human biology, medicine, informatics, mathematics, technomathematics, statistics or empirical methods, neuropsychology, theoretical physics, veterinary medicine, cell or molecular biology, and zoology.

APS Certificate

Yes

Tuition fee

None

Semester contribution

EUR 425.40 per semester (current semester contribution published by the University of Bremen for Winter Semester 2025/26).

ECTS credits

120

Funding info

Tuition: None Semester contribution: EUR 425.40 per semester (current semester contribution published by the University of Bremen for Winter Semester 2025/26).

The reviewed official programme pages state that graduates are prepared for research careers in neuroscience and related fields, and for professional paths in academic, biomedical, and data-driven neuroscience environments.

• 1

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