MasterFaculty of Digital Health & BioInnovation

Master in Nutrigenomics & Personalized Nutrition Systems

I am a bioengineer who believes that the human body 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.

Meet the academic team Explore the faculty

Identity only. No score is printed. Checkout waits.

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.

Academic focus

Gene–Diet Interactions, AI Nutrition Platforms, Preventative Health Systems, Bioinformatics

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

Biomedical Engineer
Designing new medical devices and technologies
Research Scientist
In academia or industry
Regenerative Medicine Specialist
In a hospital or clinic
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
- Tissue Engineering: Designing and building new tissues and organs.
- Stem Cell Therapies: Developing new therapies using stem cells.
- Regenerative Systems: Building new systems for regenerating human tissues.
- Bioinformatics: Using computational tools to analyze biological data.

Listed courses

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

Master in Nutrigenomics & Personalized Nutrition Systems

01Foundations of Nutrigenomics
1. FoundationsFoundations of Foundations of Nutrigenomics
  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 Nutrigenomics.
  The learner can distinguish related ideas inside Foundations of Nutrigenomics.
2. MethodsMethods in Foundations of Nutrigenomics
  The learner can apply a method from Foundations of Nutrigenomics to a documented case.
  The learner can select an appropriate method from Foundations of Nutrigenomics for a stated problem.
3. ApplicationApplication of Foundations of Nutrigenomics
  The learner can evaluate a practice of Foundations of Nutrigenomics against a stated criterion.
  The learner can transfer Foundations of Nutrigenomics to a new documented context.
02Gene–Diet Interactions and AI Nutrition Platforms
1. FoundationsFoundations of Gene–Diet Interactions and AI Nutrition Platforms
  The learner can explain the core terms of Gene–Diet Interactions and AI Nutrition Platforms.
  The learner can distinguish related ideas inside Gene–Diet Interactions and AI Nutrition Platforms.
2. MethodsMethods in Gene–Diet Interactions and AI Nutrition Platforms
  The learner can apply a method from Gene–Diet Interactions and AI Nutrition Platforms to a documented case.
  The learner can select an appropriate method from Gene–Diet Interactions and AI Nutrition Platforms for a stated problem.
3. ApplicationApplication of Gene–Diet Interactions and AI Nutrition Platforms
  The learner can evaluate a practice of Gene–Diet Interactions and AI Nutrition Platforms against a stated criterion.
  The learner can transfer Gene–Diet Interactions and AI Nutrition Platforms to a new documented context.
03Preventative Health Systems
1. FoundationsFoundations of Preventative Health Systems
  The learner can explain the core terms of Preventative Health Systems.
  The learner can distinguish related ideas inside Preventative Health Systems.
2. MethodsMethods in Preventative Health Systems
  The learner can apply a method from Preventative Health Systems to a documented case.
  The learner can select an appropriate method from Preventative Health Systems for a stated problem.
3. ApplicationApplication of Preventative Health Systems
  The learner can evaluate a practice of Preventative Health Systems against a stated criterion.
  The learner can transfer Preventative Health Systems to a new documented context.
04Research Seminar in Nutrigenomics
1. FoundationsFoundations of Research Seminar in Nutrigenomics
  The learner can explain the core terms of Research Seminar in Nutrigenomics.
  The learner can distinguish related ideas inside Research Seminar in Nutrigenomics.
2. MethodsMethods in Research Seminar in Nutrigenomics
  The learner can apply a method from Research Seminar in Nutrigenomics to a documented case.
  The learner can select an appropriate method from Research Seminar in Nutrigenomics for a stated problem.
3. ApplicationApplication of Research Seminar in Nutrigenomics
  The learner can evaluate a practice of Research Seminar in Nutrigenomics against a stated criterion.
  The learner can transfer Research Seminar in Nutrigenomics 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

Nǐ hǎo! Welcome, future innovators of personalized nutrition. My research focuses on the intricate dance between our genes and the food we eat. We'll explore how AI nutrition platforms and genomic data can help us design preventative health systems that are truly personalized.

Applied mentorship

G'day! 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: 'Eating for Your DNA: The Rise of Nutrigenomics' - A popular article explaining the potential of nutrigenomics for personalized nutrition. · • Blog Post: 'Why every biologist needs to be a data scientist' - Discusses the importance of data science skills in modern biology and medicine. · • Conference Paper: 'A New Framework for Tissue Engineering in Organ Regeneration' - Presented at the International Conference on Biomedical Engineering, proposing a new model for building new organs from scratch. · • Journal Article: 'The Role of AI in Stem Cell Differentiation' - Published in the Journal of Regenerative Medicine, this paper provides a framework for understanding how AI can be used to control stem cell differentiation. · • Standard Article: 'The Future of Personalized Medicine in a Data-Driven World' - A multi-part series for a medical magazine on how data and AI are transforming personalized medicine. · • Book: 'The Regenerative Medicine Handbook: A Guide to Tissue Engineering' - A comprehensive textbook on the theoretical and practical applications of regenerative medicine. · • 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 Cellular System 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. Fang Zhiyuan

Gene–Diet Interactions, AI Nutrition Platforms, Preventative Health Systems, Bioinformatics

Meet your professor Open the classroom

AI Super Mentor

Dr. Laura McKenna

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	Master This programme	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

Continue exploring

Find the program that expands your universe.

Browse all programs

Master in Nutrigenomics & Personalized Nutrition Systems

Academic focus

Practical focus

Deutsche Bank

The European Central Bank

Biomedical Engineer

Research Scientist

Regenerative Medicine Specialist

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. Fang Zhiyuan

Dr. Laura McKenna

Find the program that expands your universe.