Postgraduate Diploma in BCI and Therapeutic Neurofeedback
Online 800-hour Postgraduate Diploma in BCI and Therapeutic Neurofeedback. 8 modules covering IEC 60601-1 (safety of medical electrical equipment), IEC 60601-2-26 (electroencephalographs) and OpenViBE. Dedicated tutor and enrolment open.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Relate the fundamentals of neurophysiology to the signals used in BCI.
Configure EEG acquisition systems with adequate signal quality.
Apply filtering techniques, artefact removal and EEG feature extraction.
Compare BCI paradigms such as P300, SSVEP and motor imagery.
Design evidence-based therapeutic neurofeedback protocols.
Integrate BCI into post-stroke motor rehabilitation programmes.
Analyse the regulatory, ethical and neurorights aspects of neurotechnology.
Who it's for
- Brain-computer interface engineer looking to specialise in BCI and Therapeutic Neurofeedback.
- Neurotechnology researcher looking to specialise in BCI and Therapeutic Neurofeedback.
- EEG signal processing specialist looking to specialise in BCI and Therapeutic Neurofeedback.
- Rehabilitation engineer looking to specialise in BCI and Therapeutic Neurofeedback.
- Neurofeedback technician looking to specialise in BCI and Therapeutic Neurofeedback.
- Neurotechnology regulatory consultant looking to specialise in BCI and Therapeutic Neurofeedback.
- Engineering or science graduates seeking to enter neurotechnology.
What you'll work with
- IEC 60601-1 (safety of medical electrical equipment)
- IEC 60601-2-26 (electroencephalographs)
- Regulation (EU) 2017/745 (medical devices)
- ISO 14971 (risk management)
- IEC 62304 (medical device software)
- OECD Recommendation on Responsible Innovation in Neurotechnology
8 modules · 800 h
1.1Generation of electrical brain activity1.2EEG rhythms: delta, theta, alpha, beta and gamma1.3Evoked and event-related potentials1.4Sensorimotor rhythm and desynchronisation1.5Brain plasticity1.6Functional neuroanatomy1.7Cerebral haemodynamics and fNIRS1.8Invasive signals: ECoG and single units1.9Limitations of non-invasive measurements1.10Practice: identifying rhythms in EEG recordings
2.1International 10-20 system2.2Wet, dry and active electrodes2.3Amplifiers and references2.4Contact impedance2.5Ocular and muscular artefacts2.6Portable EEG systems2.7fNIRS and hybrid systems2.8Stimulus synchronisation2.9Recording protocols2.10Laboratory: EEG recording at rest and during a task
3.1Filtering and common referencing3.2Independent component analysis (ICA)3.3Spectral analysis3.4CSP spatial filters3.5Riemannian geometry3.6Feature extraction3.7Machine learning for BCI3.8Deep learning with EEGNet3.9MNE-Python tools3.10Workshop: motor imagery classification pipeline
4.1Motor imagery4.2P300 and spellers4.3Steady-state visual evoked potentials (SSVEP)4.4Passive BCIs and mental workload4.5Hybrid BCIs4.6Calibration and transfer between sessions4.7Information transfer rate4.8BCI illiteracy4.9User interface design4.10Practice: implementing a P300 speller
5.1Principles of operant conditioning5.2SMR and theta-beta protocols5.3Neurofeedback in ADHD5.4Neurofeedback in epilepsy and anxiety5.5Real-time fMRI neurofeedback5.6Session design and feedback5.7Scientific evidence and controversies5.8Sham controls5.9Ethics of neurofeedback5.10Case study: critically reviewed protocol for ADHD
6.1Post-stroke motor rehabilitation6.2BCI with functional electrical stimulation6.3BCI with exoskeletons and robots6.4Communication in ALS and locked-in syndrome6.5Cognitive rehabilitation6.6Virtual reality with BCI6.7Clinical trials in BCI6.8Clinical outcome measures6.9Home use6.10Laboratory: BCI system with visual feedback
7.1BCI as a medical device under the MDR7.2Safety of neurotechnologies7.3Privacy of neural data7.4Neurorights and legislative proposals7.5Informed consent7.6Risks of consumer BCIs7.7Cybersecurity of interfaces7.8Usability and acceptance7.9Equity of access7.10Practice: ethical analysis of a commercial device
8.1Definition of population and objective8.2Selection of paradigm8.3Acquisition protocol8.4Processing and classification8.5Feedback design8.6Clinical evaluation plan8.7Ethical and regulatory analysis8.8Results8.9Report and presentation8.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is OpenViBE, BCI2000, EEGLAB (MATLAB), MNE-Python, in free, academic or evaluation versions. Case studies draw on real EEG recording laboratory procedures, neurofeedback sessions and pilot BCI rehabilitation studies. Assessment is continuous by module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Relate the fundamentals of neurophysiology to the signals used in BCI.
Configure EEG acquisition systems with adequate signal quality.
Apply filtering techniques, artefact removal and EEG feature extraction.
Compare BCI paradigms such as P300, SSVEP and motor imagery.
Design evidence-based therapeutic neurofeedback protocols.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- A level of Spanish sufficient to follow technical standards documentation.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme comprises 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
You will work with OpenViBE, BCI2000, EEGLAB (MATLAB), MNE-Python. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An SEIUM diploma upon passing continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or diploma in the same area are recognised towards the higher programme. Check the recognition policy when you enrol.
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