Master in Bioethics, Policy & Innovation in Health

I am a biomedical ethicist who believes that technology's power must be guided by human wisdom. My academic approach is to combine ethical philosophy with the practical realities of health innovation, ensuring that our advancements serve humanity, not just progress.

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Level
Master
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.

01

Academic focus

Ethical Frameworks, Regulatory Science, Health Innovation Policy, Biotech Governance

02

Practical focus

Medical Ethics, Public Policy, Biotech Governance, Health Law

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

  • Biomedical Engineer

    Designing new medical devices and technologies

  • Medical Robotics Engineer

    Developing robotic systems for surgery

  • Wearable Health Device Designer

    Creating new wearable devices

  • Research Scientist

    In academia or industry

Jobs and projects

  • Problem-Solving

    Applying a systematic approach to healthcare challenges

  • Technical Communication

    Explaining complex medical and technical concepts clearly

  • Ethical Reasoning

    Navigating the ethical challenges of digital health and patient privacy

  • Collaboration

    Working effectively with healthcare professionals, engineers, and data scientists

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

    • Health Informatics: Using technology to manage and analyze health data.
    • Telemedicine: Providing remote patient care through technology.
    • AI Health Platforms: Developing AI-driven systems for healthcare.
    • Data Analytics: Interpreting health data to inform decision-making.
Listed courses

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

Master in Bioethics, Policy & Innovation in Health

  1. 01Foundations of Bioethics and Policy
    1. FoundationsFoundations of Foundations of Bioethics and Policy

      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 Bioethics and Policy.

      The learner can distinguish related ideas inside Foundations of Bioethics and Policy.

    2. MethodsMethods in Foundations of Bioethics and Policy

      The learner can apply a method from Foundations of Bioethics and Policy to a documented case.

      The learner can select an appropriate method from Foundations of Bioethics and Policy for a stated problem.

    3. ApplicationApplication of Foundations of Bioethics and Policy

      The learner can evaluate a practice of Foundations of Bioethics and Policy against a stated criterion.

      The learner can transfer Foundations of Bioethics and Policy to a new documented context.

  2. 02Digital Medicine Policy and Biotech Governance
    1. FoundationsFoundations of Digital Medicine Policy and Biotech Governance

      The learner can explain the core terms of Digital Medicine Policy and Biotech Governance.

      The learner can distinguish related ideas inside Digital Medicine Policy and Biotech Governance.

    2. MethodsMethods in Digital Medicine Policy and Biotech Governance

      The learner can apply a method from Digital Medicine Policy and Biotech Governance to a documented case.

      The learner can select an appropriate method from Digital Medicine Policy and Biotech Governance for a stated problem.

    3. ApplicationApplication of Digital Medicine Policy and Biotech Governance

      The learner can evaluate a practice of Digital Medicine Policy and Biotech Governance against a stated criterion.

      The learner can transfer Digital Medicine Policy and Biotech Governance to a new documented context.

  3. 03Ethical Frameworks and Health Innovation
    1. FoundationsFoundations of Ethical Frameworks and Health Innovation

      The learner can explain the core terms of Ethical Frameworks and Health Innovation.

      The learner can distinguish related ideas inside Ethical Frameworks and Health Innovation.

    2. MethodsMethods in Ethical Frameworks and Health Innovation

      The learner can apply a method from Ethical Frameworks and Health Innovation to a documented case.

      The learner can select an appropriate method from Ethical Frameworks and Health Innovation for a stated problem.

    3. ApplicationApplication of Ethical Frameworks and Health Innovation

      The learner can evaluate a practice of Ethical Frameworks and Health Innovation against a stated criterion.

      The learner can transfer Ethical Frameworks and Health Innovation to a new documented context.

  4. 04Research Seminar in Bioethics
    1. FoundationsFoundations of Research Seminar in Bioethics

      The learner can explain the core terms of Research Seminar in Bioethics.

      The learner can distinguish related ideas inside Research Seminar in Bioethics.

    2. MethodsMethods in Research Seminar in Bioethics

      The learner can apply a method from Research Seminar in Bioethics to a documented case.

      The learner can select an appropriate method from Research Seminar in Bioethics for a stated problem.

    3. ApplicationApplication of Research Seminar in Bioethics

      The learner can evaluate a practice of Research Seminar in Bioethics against a stated criterion.

      The learner can transfer Research Seminar in Bioethics to a new documented context.

  5. 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.

  6. 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.

  7. 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.

  8. 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

Marhaba! Welcome, future guardians of health and ethics. My research explores the complex ethical frameworks, digital medicine policies, and biotech governance that will shape the future of healthcare. We'll navigate the moral and legal challenges of health innovation together.

Applied mentorship

Dobrodošli! 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 Digital Hippocratic Oath: Ethics in AI and Medicine' - An accessible article on the ethical considerations of using AI in healthcare. · • Blog Post: 'Why every medical student needs to be a bioengineer' - Discusses the importance of bioengineering skills in modern medicine. · • Conference Paper: 'A New Framework for Secure and Interoperable Digital Health Platforms' - Presented at the International Conference on Health Informatics, proposing a new model for building secure and scalable digital health platforms. · • Journal Article: 'AI-Driven Predictive Analytics for Patient Outcome Forecasting' - Published in the Journal of Medical AI, this paper provides a framework for understanding how AI can be used to predict patient outcomes. · • Standard Article: 'The Future of Personalized Medicine in a Data-Driven World' - A multi-part series for a health magazine on how data and AI are transforming personalized medicine. · • Book: 'The Digital Health Handbook: A Guide to Health Informatics' - A comprehensive textbook on the theoretical and practical applications of digital health. · • Total Score: 28/30 · • 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 Ethical Decision 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.

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.

DurationBachelorMaster
This programme
Doctorate
9 months · Fast track15000 EUR12000 EUR15000 EUR
12 months · Recommended18000 EUR15000 EUR18000 EUR
15 months · Standard21000 EUR18000 EUR21000 EUR
18 months · Flexible24000 EUR21000 EUR24000 EUR
21 months · Extended27000 EUR24000 EUR27000 EUR
24 months · Part-time30000 EUR27000 EUR30000 EUR

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