BachelorFaculty of Digital Health & BioInnovation

Bachelor of Nutrigenomics & Digital Nutrition Systems

¡Hola! Welcome to the future of digital nutrition. Our mission is to train you to not just understand food science, but to apply technology to optimize human health and performance. Together, we will transform nutrition from a guessing game into a science.

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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

Genetic Nutrition, AI Food Analytics, Personalized Diet Strategies, 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

Nutrigenomics Consultant
In companies offering personalized nutrition and health services
Food Analytics Specialist
In major food companies or startups
Bioinformatics Researcher
In academic institutions or research centers
Health Data Scientist
In health technology companies

Jobs and projects

Analytical Thinking
Analyzing complex biological and nutritional data
Problem-Solving
Creating innovative, data-driven solutions to nutritional problems
Technical Communication
Explaining scientific data in a language understandable to both medical professionals and patients
Collaboration
Working effectively with nutritionists, doctors, and software engineers

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
- Genetic Nutrition: Creating diet plans using bioinformatics and genetic data.
- AI Analytics: Using AI and machine learning models to analyze food data.
- Personalized Dieting: Designing diet strategies based on an individual's genetic code.
- Bioinformatics: Using computational tools to analyze biological data.

Listed courses

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

Bachelor of Nutrigenomics & Digital Nutrition Systems

01Introduction to Nutrigenomics
1. FoundationsFoundations of Introduction to 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 Introduction to Nutrigenomics.
  The learner can distinguish related ideas inside Introduction to Nutrigenomics.
2. MethodsMethods in Introduction to Nutrigenomics
  The learner can apply a method from Introduction to Nutrigenomics to a documented case.
  The learner can select an appropriate method from Introduction to Nutrigenomics for a stated problem.
3. ApplicationApplication of Introduction to Nutrigenomics
  The learner can evaluate a practice of Introduction to Nutrigenomics against a stated criterion.
  The learner can transfer Introduction to Nutrigenomics to a new documented context.
02Personalized Nutrition and Diet Strategies
1. FoundationsFoundations of Personalized Nutrition and Diet Strategies
  The learner can explain the core terms of Personalized Nutrition and Diet Strategies.
  The learner can distinguish related ideas inside Personalized Nutrition and Diet Strategies.
2. MethodsMethods in Personalized Nutrition and Diet Strategies
  The learner can apply a method from Personalized Nutrition and Diet Strategies to a documented case.
  The learner can select an appropriate method from Personalized Nutrition and Diet Strategies for a stated problem.
3. ApplicationApplication of Personalized Nutrition and Diet Strategies
  The learner can evaluate a practice of Personalized Nutrition and Diet Strategies against a stated criterion.
  The learner can transfer Personalized Nutrition and Diet Strategies to a new documented context.
03AI and Food Analytics
1. FoundationsFoundations of AI and Food Analytics
  The learner can explain the core terms of AI and Food Analytics.
  The learner can distinguish related ideas inside AI and Food Analytics.
2. MethodsMethods in AI and Food Analytics
  The learner can apply a method from AI and Food Analytics to a documented case.
  The learner can select an appropriate method from AI and Food Analytics for a stated problem.
3. ApplicationApplication of AI and Food Analytics
  The learner can evaluate a practice of AI and Food Analytics against a stated criterion.
  The learner can transfer AI and Food Analytics to a new documented context.
04Bioinformatics and Nutrition Research
1. FoundationsFoundations of Bioinformatics and Nutrition Research
  The learner can explain the core terms of Bioinformatics and Nutrition Research.
  The learner can distinguish related ideas inside Bioinformatics and Nutrition Research.
2. MethodsMethods in Bioinformatics and Nutrition Research
  The learner can apply a method from Bioinformatics and Nutrition Research to a documented case.
  The learner can select an appropriate method from Bioinformatics and Nutrition Research for a stated problem.
3. ApplicationApplication of Bioinformatics and Nutrition Research
  The learner can evaluate a practice of Bioinformatics and Nutrition Research against a stated criterion.
  The learner can transfer Bioinformatics and Nutrition Research to a new documented context.
05Capstone Project
1. FoundationsFoundations of Capstone Project
  The learner can explain the core terms of Capstone Project.
  The learner can distinguish related ideas inside Capstone Project.
2. MethodsMethods in Capstone Project
  The learner can apply a method from Capstone Project to a documented case.
  The learner can select an appropriate method from Capstone Project for a stated problem.
3. ApplicationApplication of Capstone Project
  The learner can evaluate a practice of Capstone Project against a stated criterion.
  The learner can transfer Capstone Project 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

I am a biomedical data scientist who believes that health and nutrition are intrinsically linked. My research focuses on how genetic data, AI analytics, and bioinformatics can be used to develop personalized diets and nutritional strategies.

Applied mentorship

Merhaba! 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: 'Food Analytics: How AI is Making Kitchen Robots Smarter' - Discusses the role of AI in food analysis and how it's helping to develop new food products. · • Conference Paper: 'Personalized Diet Models for Improving Health Outcomes' - Presented at the International Conference on Nutrition and Health, presenting research on how personalized diets impact health outcomes. · • Journal Article: 'The Integration of Bioinformatics and Nutritional Science' - Published in the Journal of Biomedical Informatics, providing a framework for how genetic data can be used in nutritional research. · • 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 Nutritional Analysis

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. Alejandro Torres

Genetic Nutrition, AI Food Analytics, Personalized Diet Strategies, Bioinformatics

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AI Super Mentor

Dr. Aylin Şenol

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 Nutrigenomics & Digital Nutrition Systems

Academic focus

Practical focus

Deutsche Bank

The European Central Bank

Nutrigenomics Consultant

Food Analytics Specialist

Bioinformatics Researcher

Health Data Scientist

Analytical Thinking

Problem-Solving

Technical Communication

Collaboration

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Alejandro Torres

Dr. Aylin Şenol

Find the program that expands your universe.