MasterFaculty of Digital Health & BioInnovation

Master in Digital Psychology & Mental Health Technologies

Welcome, future innovators of medical technology. My research is dedicated to designing and building the next generation of medical devices, from surgical robotics to wearable health devices. We'll explore how to blend engineering principles with biological insights to create tools that improve human health.

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

VR Mental Health Therapies, AI Emotional Analytics, Digital Cognitive Support, e-Psychology

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
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 Digital Psychology & Mental Health Technologies

01Foundations of Digital Psychology
1. FoundationsFoundations of Foundations of Digital Psychology
  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 Digital Psychology.
  The learner can distinguish related ideas inside Foundations of Digital Psychology.
2. MethodsMethods in Foundations of Digital Psychology
  The learner can apply a method from Foundations of Digital Psychology to a documented case.
  The learner can select an appropriate method from Foundations of Digital Psychology for a stated problem.
3. ApplicationApplication of Foundations of Digital Psychology
  The learner can evaluate a practice of Foundations of Digital Psychology against a stated criterion.
  The learner can transfer Foundations of Digital Psychology to a new documented context.
02e-Psychology and AI Emotional Analytics
1. FoundationsFoundations of e-Psychology and AI Emotional Analytics
  The learner can explain the core terms of e-Psychology and AI Emotional Analytics.
  The learner can distinguish related ideas inside e-Psychology and AI Emotional Analytics.
2. MethodsMethods in e-Psychology and AI Emotional Analytics
  The learner can apply a method from e-Psychology and AI Emotional Analytics to a documented case.
  The learner can select an appropriate method from e-Psychology and AI Emotional Analytics for a stated problem.
3. ApplicationApplication of e-Psychology and AI Emotional Analytics
  The learner can evaluate a practice of e-Psychology and AI Emotional Analytics against a stated criterion.
  The learner can transfer e-Psychology and AI Emotional Analytics to a new documented context.
03VR Therapies for Mental Health
1. FoundationsFoundations of VR Therapies for Mental Health
  The learner can explain the core terms of VR Therapies for Mental Health.
  The learner can distinguish related ideas inside VR Therapies for Mental Health.
2. MethodsMethods in VR Therapies for Mental Health
  The learner can apply a method from VR Therapies for Mental Health to a documented case.
  The learner can select an appropriate method from VR Therapies for Mental Health for a stated problem.
3. ApplicationApplication of VR Therapies for Mental Health
  The learner can evaluate a practice of VR Therapies for Mental Health against a stated criterion.
  The learner can transfer VR Therapies for Mental Health to a new documented context.
04Research Seminar in Digital Psychology
1. FoundationsFoundations of Research Seminar in Digital Psychology
  The learner can explain the core terms of Research Seminar in Digital Psychology.
  The learner can distinguish related ideas inside Research Seminar in Digital Psychology.
2. MethodsMethods in Research Seminar in Digital Psychology
  The learner can apply a method from Research Seminar in Digital Psychology to a documented case.
  The learner can select an appropriate method from Research Seminar in Digital Psychology for a stated problem.
3. ApplicationApplication of Research Seminar in Digital Psychology
  The learner can evaluate a practice of Research Seminar in Digital Psychology against a stated criterion.
  The learner can transfer Research Seminar in Digital Psychology 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

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.

Applied mentorship

Assalamu alaykum! 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 Therapist: How AI is Changing Mental Health' - An accessible article on the practical applications of AI in mental health and how it's changing patient care. · • 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 Medical Device 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. Paul Schneider

VR Mental Health Therapies, AI Emotional Analytics, Digital Cognitive Support, e-Psychology

Meet your professor Open the classroom

AI Super Mentor

Dr. Aisha Rahman

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 Digital Psychology & Mental Health Technologies

Academic focus

Practical focus

Deutsche Bank

The European Central Bank

Biomedical Engineer

Medical Robotics Engineer

Wearable Health Device Designer

Research Scientist

Problem-Solving

Technical Communication

Ethical Reasoning

Collaboration

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Paul Schneider

Dr. Aisha Rahman

Find the program that expands your universe.