BachelorFaculty of Digital Health & BioInnovation

Bachelor of Neurotechnology & Cognitive Interfaces

I am a biomedical engineer who believes that the human mind is the most incredible machine we will ever work with. My work focuses on exploring regenerative medicine and stem cell technologies to repair and rebuild human tissues and organs, creating a future where we can heal ourselves.

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Level: Bachelor
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

NXAcademic
Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Brain-Computer Interfaces, Cognitive Augmentation, AI Neuroprosthetics, Neuroinformatics

Practical focus

Genetic Counseling, Bioinformatics, Personalized Healthcare, Medical Ethics

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Deutsche Bank
Internships in quantitative finance and risk management
The European Central Bank
Internships in financial stability and economic analysis

Career opportunities

Neurotechnology Engineer
Designing new medical devices and technologies
AI Engineer
In medical or pharmaceutical companies
Research Scientist
In academia or industry
Biotech Consultant
Advising on biotech strategy

Jobs and projects

Problem-Solving
Applying a systematic approach to biomedical challenges
Technical Communication
Clearly explaining complex medical and technical concepts to a general audience
Ethical Reasoning
Navigating the ethical challenges of neurotechnology and human enhancement
Collaboration
Working effectively with doctors, researchers, and other specialists

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- You will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics.
Skills you build
- Biomedical Engineering: Designing and building new tissues and organs.
- Neuroscience: Understanding the biological and psychological aspects of the brain.
- AI/ML: Developing AI and machine learning models to advance medical research.
- Statistical Modeling: Applying statistical models to extract meaningful conclusions from data.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Bachelor of Neurotechnology & Cognitive Interfaces

01Foundations of Neurotechnology
1. FoundationsFoundations of Foundations of Neurotechnology
  The learner can you will gain a deep understanding of how to use data to improve human health, with a skill set that is in high demand in the rapidly growing field of personalized medicine and diagnostics, as applied to Foundations of Neurotechnology.
  The learner can distinguish related ideas inside Foundations of Neurotechnology.
2. MethodsMethods in Foundations of Neurotechnology
  The learner can apply a method from Foundations of Neurotechnology to a documented case.
  The learner can aI/ML: Developing AI and machine learning models to advance medical research, as applied to Foundations of Neurotechnology.
3. ApplicationApplication of Foundations of Neurotechnology
  The learner can evaluate a practice of Foundations of Neurotechnology against a stated criterion.
  The learner can transfer Foundations of Neurotechnology to a new documented context.
02Brain-Computer Interfaces and Cognitive Augmentation
1. FoundationsFoundations of Brain-Computer Interfaces and Cognitive Augmentation
  The learner can explain the core terms of Brain-Computer Interfaces and Cognitive Augmentation.
  The learner can distinguish related ideas inside Brain-Computer Interfaces and Cognitive Augmentation.
2. MethodsMethods in Brain-Computer Interfaces and Cognitive Augmentation
  The learner can apply a method from Brain-Computer Interfaces and Cognitive Augmentation to a documented case.
  The learner can select an appropriate method from Brain-Computer Interfaces and Cognitive Augmentation for a stated problem.
3. ApplicationApplication of Brain-Computer Interfaces and Cognitive Augmentation
  The learner can evaluate a practice of Brain-Computer Interfaces and Cognitive Augmentation against a stated criterion.
  The learner can transfer Brain-Computer Interfaces and Cognitive Augmentation to a new documented context.
03AI Neuroprosthetics
1. FoundationsFoundations of AI Neuroprosthetics
  The learner can explain the core terms of AI Neuroprosthetics.
  The learner can distinguish related ideas inside AI Neuroprosthetics.
2. MethodsMethods in AI Neuroprosthetics
  The learner can apply a method from AI Neuroprosthetics to a documented case.
  The learner can select an appropriate method from AI Neuroprosthetics for a stated problem.
3. ApplicationApplication of AI Neuroprosthetics
  The learner can evaluate a practice of AI Neuroprosthetics against a stated criterion.
  The learner can transfer AI Neuroprosthetics to a new documented context.
04Research Seminar in Neurotechnology
1. FoundationsFoundations of Research Seminar in Neurotechnology
  The learner can explain the core terms of Research Seminar in Neurotechnology.
  The learner can distinguish related ideas inside Research Seminar in Neurotechnology.
2. MethodsMethods in Research Seminar in Neurotechnology
  The learner can apply a method from Research Seminar in Neurotechnology to a documented case.
  The learner can select an appropriate method from Research Seminar in Neurotechnology for a stated problem.
3. ApplicationApplication of Research Seminar in Neurotechnology
  The learner can evaluate a practice of Research Seminar in Neurotechnology against a stated criterion.
  The learner can transfer Research Seminar in Neurotechnology to a new documented context.
05The Ethics of AI in Health
1. FoundationsFoundations of The Ethics of AI in Health
  The learner can explain the core terms of The Ethics of AI in Health.
  The learner can distinguish related ideas inside The Ethics of AI in Health.
2. MethodsMethods in The Ethics of AI in Health
  The learner can apply a method from The Ethics of AI in Health to a documented case.
  The learner can select an appropriate method from The Ethics of AI in Health for a stated problem.
3. ApplicationApplication of The Ethics of AI in Health
  The learner can evaluate a practice of The Ethics of AI in Health against a stated criterion.
  The learner can transfer The Ethics of AI in Health to a new documented context.
06The Practical Guide to Digital History
1. FoundationsFoundations of The Practical Guide to Digital History
  The learner can explain the core terms of The Practical Guide to Digital History.
  The learner can distinguish related ideas inside The Practical Guide to Digital History.
2. MethodsMethods in The Practical Guide to Digital History
  The learner can apply a method from The Practical Guide to Digital History to a documented case.
  The learner can select an appropriate method from The Practical Guide to Digital History for a stated problem.
3. ApplicationApplication of The Practical Guide to Digital History
  The learner can evaluate a practice of The Practical Guide to Digital History against a stated criterion.
  The learner can transfer The Practical Guide to Digital History to a new documented context.
07Archival Science for Public Policy
1. FoundationsFoundations of Archival Science for Public Policy
  The learner can explain the core terms of Archival Science for Public Policy.
  The learner can distinguish related ideas inside Archival Science for Public Policy.
2. MethodsMethods in Archival Science for Public Policy
  The learner can apply a method from Archival Science for Public Policy to a documented case.
  The learner can select an appropriate method from Archival Science for Public Policy for a stated problem.
3. ApplicationApplication of Archival Science for Public Policy
  The learner can evaluate a practice of Archival Science for Public Policy against a stated criterion.
  The learner can transfer Archival Science for Public Policy to a new documented context.
08Capstone Project in Historical Analysis
1. FoundationsFoundations of Capstone Project in Historical Analysis
  The learner can explain the core terms of Capstone Project in Historical Analysis.
  The learner can distinguish related ideas inside Capstone Project in Historical Analysis.
2. MethodsMethods in Capstone Project in Historical Analysis
  The learner can apply a method from Capstone Project in Historical Analysis to a documented case.
  The learner can select an appropriate method from Capstone Project in Historical Analysis for a stated problem.
3. ApplicationApplication of Capstone Project in Historical Analysis
  The learner can evaluate a practice of Capstone Project in Historical Analysis against a stated criterion.
  The learner can transfer Capstone Project in Historical Analysis to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

Cześć! Welcome, future innovators of the mind. My research focuses on the intersection of neurotechnology and AI, developing brain-computer interfaces and cognitive augmentation systems that can help people with neurological disorders.

Applied mentorship

Marhaba! The code of life is a language. My role is to help you become fluent, so you can contribute to a healthier, brighter future for everyone.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

• Blog Post: 'The Mind-Machine Merge: How Brain-Computer Interfaces are Redefining Humanity' - An accessible article on the promise of neurotechnology and its ethical implications. · • Blog Post: 'Why every neuroscientist needs to be an AI engineer' - Discusses the importance of AI skills in modern neuroscience and neurotechnology. · • Conference Paper: 'A New Framework for Cognitive Augmentation using AI' - Presented at the International Conference on Neurotechnology, proposing a new model for using AI to augment human cognition. · • Journal Article: 'The Role of AI in Neuroprosthetics' - Published in the Journal of Neurotechnology, this paper provides a framework for understanding how AI can be used to develop new neuroprosthetics. · • Standard Article: 'The Future of Neurotechnology in a Data-Driven World' - A multi-part series for a health magazine on how data and AI are transforming neurotechnology. · • Book: 'The Neurotechnology Handbook: A Guide to Brain-Computer Interfaces' - A comprehensive textbook on the theoretical and practical applications of neurotechnology. · • Total Score: 29/30 · • Kairos Badge: 🥇

R / 02

Mentor practice lens

• Article: 'The Power of Data Visualization in Public Policy' - A concise article on how data visualization can be used to influence policy decisions. · • Guide: 'A Beginner's Guide to Using R for Historical Data Analysis' - A practical tutorial for new students on the basics of a key bioinformatics programming language. · • Essay: 'Building Ethical AI for Public Policy' - An essay on the challenges and responsibilities of creating AI tools for government. · • Total Score: 28/30 · • Kairos Badge: 🥇

Adaptive capability

Professor superpower

GAF-powered Neuro-Interface Simulation

Adaptive capability

Mentor superpower

GAF-powered Clinical Insight Extraction

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Tomasz Zielinski

Brain-Computer Interfaces, Cognitive Augmentation, AI Neuroprosthetics, Neuroinformatics

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AI Super Mentor

Dr. Amira Khelifi

Genetic Counseling, Bioinformatics, Personalized Healthcare, Medical Ethics

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor This programme	Master	Doctorate
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

Named tuition lists Add-on services

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Bachelor of Neurotechnology & Cognitive Interfaces

Academic focus

Practical focus

Deutsche Bank

The European Central Bank

Neurotechnology Engineer

AI Engineer

Research Scientist

Biotech Consultant

Problem-Solving

Technical Communication

Ethical Reasoning

Collaboration

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Tomasz Zielinski

Dr. Amira Khelifi

Find the program that expands your universe.