Master in Neural Engineering

This Master’s program trains highly skilled professionals in neural engineering by integrating neuroscience, advanced technologies, and artificial intelligence. Students acquire state-of-the-art expertise in brain monitoring, modeling, and brain-machine interaction, with strong foundations in neuroimaging, neural signal analysis, computational neuroscience, and neural interfaces.

Graduates are prepared for careers in research institutions, high-tech and medical device industries, neurotechnology startups, and clinical settings, as well as for participation in international research projects or further training through PhD programs at the forefront of next-generation neurotechnologies.

The Future of Neuroengineering Starts Here!

The application deadline for the Master's program will be extended until the end of February.

Info for applicants: Master_highlights

Call (in Italian): Master Universitario di I livello annuale in Ingegneria Neurale/Neural Engineering | Università degli Studi "G. d'Annunzio" Chieti – Pescara

Call (English translation): Annual First-Level University Master in Neural Engineering | "G. d'Annunzio" University of Chieti-Pescara

Please contact laura.marzetti@unich.it before applying

Training Plan 2025/2026

Technologies and Principles of Neuroimaging                                 

• Principles of MRI, DW-MRI and fMRI – F. Dell' Acqua, King’s College London
• Principles of EEG and MEG – V. Pizzella, Univ. of Chieti-Pescara
• Novel imaging technologies – J. Haueisen, TU Ilmenau
• Functional Neuroanatomy – M. Catani & M. Bisconti, Univ. of Chieti-Pescara

Data Analysis and Computational Modeling in Neuroimaging

• Signal processing for structural and functional MRI – R. Guidotti, Univ. of Chieti-Pescara
• EEG/MEG data analysis: forward and inverse problem, brain oscillations and connectivity – L. Marzetti, Univ. of Chieti-Pescara & O. Hauk, Univ. of Cambridge
• Brain networks and graph analysis – Basti, Univ. of Chieti-Pescara

System neuroengineering                                                                          

• Control Theory – F. Camilli, Univ. of Chieti-Pescara
• Wearable and Implantable Sensors – D. Cardone, Univ. of Chieti-Pescara
• Neurostimulation technologies – V.H. Souza, Aalto University & A. Fraleoni Morgera, Univ. of Chieti-Pescara
• EEG-TMS integration and brain-state dependent stimulation - S. Casarotto, Univ. of Milan
• Neurofeedback and Intelligent Closed-Loop Systems – D. Yao, UESTC
• Human-artificial agent interaction and affective computing – A. Merla, Univ. of Chieti-Pescara

Artificial Intelligence and Computational Neuroscience

• Brain modeling across scales – G. Rabuffo, Aix-Marseille Univ.
• Soft tissue biomechanics of the brain – C. Falcinelli & M. Vasta, Univ. of Chieti-Pescara
• Probability Theory for AI – S. Doria, Univ. of Chieti-Pescara
• Fundaments of machine learning – Caroprese, Univ. of Chieti-Pescara
• Machine Learning and AI-driven diagnostics – M.C. Corsi, Paris Brain Institute & M. De Muru, Univ. of Naples
• Neuroinformatics & Big Data – G. Niso, Cajal Institute Madrid            

Clinical, Translational and Entrepreneurship Applications       

• Clinical translation of neural engineering tools – P. Sorrentino, Aix-Marseille Univ.
• Trends in Neural Regenerative Medicine – E. Battista, Univ. of Chieti-Pescara
• Scientific Writing and Neuroscientific Research – A. Luppi, Univ. of Oxford
• Innovation, Patents, and Startup Entrepreneurship – A. Merla, Univ. of Chieti-Pescara