International Master in Brain and Data Science (NeuroData)
Main funder
Funder's project number: 101081356
Funds granted by main funder (€)
- 198 600,00
Funding program
Project timetable
Project start date: 01/09/2022
Project end date: 31/10/2028
Summary
Modern neuroscience has reached a point where progress requires analyzing vast amounts of data, a skill not traditionally provided to
neuroscientists. At the same time, data scientists lack specialized training in neuroscience, thereby lacking a significant perspective that
influences the quality and depth of their insights. A new academic trend where neuroscience is introduced as a separate educational track
at the undergraduate level further hinders the ripeness of specialists as their education lacks essential features.
These developments drive the pressing market demand for combined brain and data expertise in neurotech, technological innovation,
healthcare, and education. These conditions present a unique opportunity for educational innovation in the form of an out-of-the-box
educational pathway focusing on the intellectual mobility of multidisciplinary scholars into the growing field of neuro-data science.
In modern science, breakthroughs often occur at the intersection of multiple disciplines. The proposed project presents a highly needed yet
lacking synergistic training program in brain and data sciences. It aims to develop an integrated multidisciplinary curriculum in brain and
data sciences to cultivate researchers with in-depth knowledge in both fields. Students will be trained in foundational neuroscience and
data science during the first program year while applying these skills to analyze neural data during their second year.
Students will study and research in leading institutions and countries. This holistic approach to students’ training will enable them to forge
new mindsets and approaches while increasing individual contributions to a knowledge-based economy and society. Introducing this
program to European HEIs will create a new generation of multidisciplinary scholars, highly skilled in investigating the most complex
problem faced by the human race: the human mind and brain in health and disease.
neuroscientists. At the same time, data scientists lack specialized training in neuroscience, thereby lacking a significant perspective that
influences the quality and depth of their insights. A new academic trend where neuroscience is introduced as a separate educational track
at the undergraduate level further hinders the ripeness of specialists as their education lacks essential features.
These developments drive the pressing market demand for combined brain and data expertise in neurotech, technological innovation,
healthcare, and education. These conditions present a unique opportunity for educational innovation in the form of an out-of-the-box
educational pathway focusing on the intellectual mobility of multidisciplinary scholars into the growing field of neuro-data science.
In modern science, breakthroughs often occur at the intersection of multiple disciplines. The proposed project presents a highly needed yet
lacking synergistic training program in brain and data sciences. It aims to develop an integrated multidisciplinary curriculum in brain and
data sciences to cultivate researchers with in-depth knowledge in both fields. Students will be trained in foundational neuroscience and
data science during the first program year while applying these skills to analyze neural data during their second year.
Students will study and research in leading institutions and countries. This holistic approach to students’ training will enable them to forge
new mindsets and approaches while increasing individual contributions to a knowledge-based economy and society. Introducing this
program to European HEIs will create a new generation of multidisciplinary scholars, highly skilled in investigating the most complex
problem faced by the human race: the human mind and brain in health and disease.
Principal Investigator
Other persons related to this project (JYU)
Contact person (yes/no): Yes |
Primary responsible unit
Follow-up groups
Profiling area: School of Wellbeing (University of Jyväskylä JYU) JYU.Well
