Clinical Psychology and Digital Mental Health Interventions (Ph.D.)

Здравствуйте! Welcome to the science of the mind. Our mission is to train you to not just understand human behavior, but to apply that knowledge to create a better, more humane world.

Identity only. No score is printed. Checkout waits.

Sign in to record identity enrolment
Level
Doctorate
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

Cognitive Psychology, Behavioral Economics, Social Psychology, Clinical Psychology

02

Practical focus

Statistical Modeling, Data Analysis, Operations Research, Optimization Algorithms

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

  • McKinsey & Company

    Opportunities in business and data analytics

  • European Space Agency (ESA)

    Internships in satellite mission planning

Career opportunities

  • Neuroscientist

    In a research lab or university

  • Data Scientist

    In tech, finance, or government

  • Behavioral Analyst

    In a corporate or non-profit organization

  • Clinical Psychologist

    In a hospital or private practice

Jobs and projects

  • Critical Thinking

    Evaluating the validity and reliability of psychological research

  • Research Skills

    Finding, analyzing, and synthesizing information

  • Programming

    Competency in languages like Python or R

  • Communication

    Explaining complex psychological concepts clearly

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 the skills to not only analyze data but to use it to create powerful models that can guide strategic decisions. You will become a trusted advisor in the world of data-driven decision-making.
  • Skills you build

    • Cognitive Psychology: Understanding the mental processes of thought.
    • Neuroscience: Understanding the neural basis of behavior.
    • Data Analysis: Interpreting and using data to inform psychological models.
    • Clinical Psychology: Applying psychological principles to clinical practice.
Listed courses

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

Clinical Psychology and Digital Mental Health Interventions (Ph.D.)

  1. 01Advanced Clinical Psychology
    1. FoundationsFoundations of Advanced Clinical Psychology

      The learner can you will gain the skills to not only analyze data but to use it to create powerful models that can guide strategic decisions, as applied to Advanced Clinical Psychology.

      The learner can you will become a trusted advisor in the world of data-driven decision-making, as applied to Advanced Clinical Psychology.

    2. MethodsMethods in Advanced Clinical Psychology

      The learner can apply a method from Advanced Clinical Psychology to a documented case.

      The learner can select an appropriate method from Advanced Clinical Psychology for a stated problem.

    3. ApplicationApplication of Advanced Clinical Psychology

      The learner can evaluate a practice of Advanced Clinical Psychology against a stated criterion.

      The learner can transfer Advanced Clinical Psychology to a new documented context.

  2. 02Digital Mental Health Interventions
    1. FoundationsFoundations of Digital Mental Health Interventions

      The learner can explain the core terms of Digital Mental Health Interventions.

      The learner can distinguish related ideas inside Digital Mental Health Interventions.

    2. MethodsMethods in Digital Mental Health Interventions

      The learner can apply a method from Digital Mental Health Interventions to a documented case.

      The learner can select an appropriate method from Digital Mental Health Interventions for a stated problem.

    3. ApplicationApplication of Digital Mental Health Interventions

      The learner can evaluate a practice of Digital Mental Health Interventions against a stated criterion.

      The learner can transfer Digital Mental Health Interventions to a new documented context.

  3. 03Behavioral Economics and Decision-Making
    1. FoundationsFoundations of Behavioral Economics and Decision-Making

      The learner can explain the core terms of Behavioral Economics and Decision-Making.

      The learner can distinguish related ideas inside Behavioral Economics and Decision-Making.

    2. MethodsMethods in Behavioral Economics and Decision-Making

      The learner can apply a method from Behavioral Economics and Decision-Making to a documented case.

      The learner can select an appropriate method from Behavioral Economics and Decision-Making for a stated problem.

    3. ApplicationApplication of Behavioral Economics and Decision-Making

      The learner can evaluate a practice of Behavioral Economics and Decision-Making against a stated criterion.

      The learner can transfer Behavioral Economics and Decision-Making to a new documented context.

  4. 04Research Seminar in Behavioral Science
    1. FoundationsFoundations of Research Seminar in Behavioral Science

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

      The learner can distinguish related ideas inside Research Seminar in Behavioral Science.

    2. MethodsMethods in Research Seminar in Behavioral Science

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

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

    3. ApplicationApplication of Research Seminar in Behavioral Science

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

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

  5. 05The Ethics of AI in Psychology
    1. FoundationsFoundations of The Ethics of AI in Psychology

      The learner can explain the core terms of The Ethics of AI in Psychology.

      The learner can distinguish related ideas inside The Ethics of AI in Psychology.

    2. MethodsMethods in The Ethics of AI in Psychology

      The learner can apply a method from The Ethics of AI in Psychology to a documented case.

      The learner can select an appropriate method from The Ethics of AI in Psychology for a stated problem.

    3. ApplicationApplication of The Ethics of AI in Psychology

      The learner can evaluate a practice of The Ethics of AI in Psychology against a stated criterion.

      The learner can transfer The Ethics of AI in Psychology to a new documented context.

  6. 06Optimization Workshops
    1. FoundationsFoundations of Optimization Workshops

      The learner can explain the core terms of Optimization Workshops.

      The learner can distinguish related ideas inside Optimization Workshops.

    2. MethodsMethods in Optimization Workshops

      The learner can apply a method from Optimization Workshops to a documented case.

      The learner can select an appropriate method from Optimization Workshops for a stated problem.

    3. ApplicationApplication of Optimization Workshops

      The learner can evaluate a practice of Optimization Workshops against a stated criterion.

      The learner can transfer Optimization Workshops to a new documented context.

  7. 07Data Modeling Case Studies
    1. FoundationsFoundations of Data Modeling Case Studies

      The learner can explain the core terms of Data Modeling Case Studies.

      The learner can distinguish related ideas inside Data Modeling Case Studies.

    2. MethodsMethods in Data Modeling Case Studies

      The learner can apply a method from Data Modeling Case Studies to a documented case.

      The learner can select an appropriate method from Data Modeling Case Studies for a stated problem.

    3. ApplicationApplication of Data Modeling Case Studies

      The learner can evaluate a practice of Data Modeling Case Studies against a stated criterion.

      The learner can transfer Data Modeling Case Studies to a new documented context.

  8. 08Professional Skills for Applied Mathematicians
    1. FoundationsFoundations of Professional Skills for Applied Mathematicians

      The learner can explain the core terms of Professional Skills for Applied Mathematicians.

      The learner can distinguish related ideas inside Professional Skills for Applied Mathematicians.

    2. MethodsMethods in Professional Skills for Applied Mathematicians

      The learner can apply a method from Professional Skills for Applied Mathematicians to a documented case.

      The learner can select an appropriate method from Professional Skills for Applied Mathematicians for a stated problem.

    3. ApplicationApplication of Professional Skills for Applied Mathematicians

      The learner can evaluate a practice of Professional Skills for Applied Mathematicians against a stated criterion.

      The learner can transfer Professional Skills for Applied Mathematicians to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

I am a psychologist who believes that the human mind is the most complex system we will ever study. My work focuses on understanding human behavior, from the neural basis of thought to the social dynamics of groups, using a data-driven, scientific approach.

Applied mentorship

I am a data modeler who is passionate about using mathematical principles to solve real-world problems. My mentorship is focused on helping students bridge the gap between abstract theory and practical application, preparing them for a successful career in data science and operations research.

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-Body Problem in the Digital Age' - An accessible essay on the intersection of cognitive psychology and AI. · • Blog Post: 'Why Every Business Needs a Behavioral Scientist' - Discusses how behavioral science can be used to design more ethical and effective products and services. · • Conference Paper: 'A New Method for Modeling the Impact of Social Media on Mental Health' - Presented at the International Conference on Behavioral Science, detailing a breakthrough in understanding the social dynamics of online behavior. · • Journal Article: 'The Role of Cognitive Biases in Financial Decision-Making' - Published in the Journal of Behavioral Economics, this paper provides a framework for understanding how cognitive biases can impact financial decisions. · • Standard Article: 'A Look at the Future of Clinical Psychology in a Data-Driven World' - A multi-part series for a psychology magazine on how data and AI are transforming clinical practice. · • Book: 'The Behavioral Scientist's Toolkit' - A comprehensive textbook on the theoretical and practical applications of behavioral science. · • Total Score: 28/30 · • Kairos Badge: 🥇

R / 02

Mentor practice lens

• Article: 'The Power of Mathematical Modeling in Everyday Life' - A short, impactful piece on how mathematical models are used to solve common problems, from traffic jams to grocery store layouts. · • Guide: 'A Beginner's Guide to Optimization Algorithms' - A practical tutorial for new students on the basics of a key area of applied mathematics. · • Essay: 'The Art of Data Storytelling for Applied Mathematicians' - An essay on why communication and visualization are crucial skills for anyone who builds mathematical models. · • Total Score: 28/30 · • Kairos Badge: 🥇

Adaptive capability

Professor superpower

GAF-powered Behavioral Pattern Recognition

Adaptive capability

Mentor superpower

GAF-powered Algorithmic Insight

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

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

DurationBachelorMasterDoctorate
This programme
9 months · Fast track12000 EUR9600 EUR12000 EUR
12 months · Recommended14400 EUR12000 EUR14400 EUR
15 months · Standard16800 EUR14400 EUR16800 EUR
18 months · Flexible19200 EUR16800 EUR19200 EUR
21 months · Extended21600 EUR19200 EUR21600 EUR
24 months · Part-time24000 EUR21600 EUR24000 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