The Master's Program in Neuroengineering from the Santos Dumont Institute has mandatory and optional subjects in it's curriculum, that aim to form professionals who are capable of navigating thorough the areas of engineering and neurosciences. The curriculum structure was designed to overcome the barriers that exist in the undergraduate programs in applied sciences, biomedical sciences and human sciences. All subjects and respective programs are available at the Sucupira platform, in Portuguese (to access, please select “Higher Education Institution: 33280010 – Instituto de Ensino e Pesquisa Alberto Santos Dumont / Program: Neuroengenharia – 33280010001P2“)
mandatory subjects
Transduction and Processing of Biological Signals
Hours: 60 hours
Total Credits: 4
Offer: Annual (2nd semester)
Neuroanatomy
Hours: 60 hours
Total Credits: 4
Offer: Annual (1st semester)
Neurophysiology
Hours: 60 hours
Total Credits: 4
Offer: Annual (1st semester).
Fundamentals of Programming and Project Development applied to Neuroengineering
Hours: 60 hours
Total Credits: 4
Offer: Annual (2nd semester)
Optional subjects
Brain-Machine Interface
Hours: 60 hours
Total Credits: 4
Offer: Annual (1st semester)
neuromodulation
Hours: 60 hours
Total Credits: 4
Offer: Annual (2nd semester)
Education for Global Citizenship
Hours: 60 hours
Total Credits: 4
Bioethics
Hours: 30 hours
Total Credits: 2
Offer: Biennial (1st semester)
Biostatistics
Hours: 45 hours
Total Credits: 3
Offer: Annual (1st semester)
Cognition
Hours: 30 hours
Total Credits: 2
Offer: Biennial (2nd semester)
Didactics and Scientific Methodology
Hours: 45 hours
Total Credits: 3
Offer: Annual (2nd semester)
Fundamentals of Neuroimmunology applied to Neuroengineering
Hours: 45 hours
Total Credits: 3
Offer: Annual (2nd semester)
Innovation in Assistive Technology
Hours: 30 hours
Total Credits: 2
Offer: Biennial (2nd semester)
biosecurity
Hours: 30h Total
Credits: 2
Offer: Semiannual
Topics in Neuroscience and Neuroengineering
Hours: 30h Total
Credits: 2
Offer: Semiannual
Introduction to Machine Learning
Hours: 45 hours
Total Credits: 3
Offer: Biennial (1st semester)
Entrepreneurship and Innovation
Hours: 30 hours
Credits: 2
Designing and creating device projects
Hours: 30 hours
Credits: 2
Analysis of histological images
Hours: 30 hours
Credits: 2
