Critical Technology and Media Studies (Ph.D.)

Bonjour! Welcome, future truth-seekers of the digital world. Our mission is to train you to not just report the news, but to shape it, building the narratives that will solve the world's most pressing problems.

Meet the academic team Explore the faculty

Identity only. No score is printed. Checkout waits.

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.

Academic focus

Critical Theory, Digital Platforms, Algorithmic Accountability, AI Ethics

Practical focus

Digital Humanities, Archival Science, Cultural Heritage, Middle Eastern History

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

The British Library
Internships in digital archives and preservation
The Guggenheim Museum
Opportunities in digital humanities and curation
The National Archives
Internships in archival science

Career opportunities

Journalist
Covering politics and international relations
Data Scientist
For a government agency or research center
Policy Analyst
In government or a think tank
Research Scientist
In academia or a research institution

Jobs and projects

Critical Thinking
Evaluating the validity and reliability of political arguments
Research Skills
Finding, analyzing, and synthesizing information
Programming
Competency in statistical languages like R or Python
Communication
Explaining complex political 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 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
- Political Theory: Understanding the history of political thought.
- International Relations: Analyzing the dynamics of global affairs.
- Data Analysis: Interpreting and using data to inform political models.
- Public Policy: Designing and implementing public policies.

Listed courses

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

Critical Technology and Media Studies (Ph.D.)

01Foundations of Critical Theory
1. FoundationsFoundations of Foundations of Critical Theory
  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 Critical Theory.
  The learner can distinguish related ideas inside Foundations of Critical Theory.
2. MethodsMethods in Foundations of Critical Theory
  The learner can apply a method from Foundations of Critical Theory to a documented case.
  The learner can select an appropriate method from Foundations of Critical Theory for a stated problem.
3. ApplicationApplication of Foundations of Critical Theory
  The learner can evaluate a practice of Foundations of Critical Theory against a stated criterion.
  The learner can transfer Foundations of Critical Theory to a new documented context.
02Digital Platforms and Algorithmic Accountability
1. FoundationsFoundations of Digital Platforms and Algorithmic Accountability
  The learner can explain the core terms of Digital Platforms and Algorithmic Accountability.
  The learner can distinguish related ideas inside Digital Platforms and Algorithmic Accountability.
2. MethodsMethods in Digital Platforms and Algorithmic Accountability
  The learner can apply a method from Digital Platforms and Algorithmic Accountability to a documented case.
  The learner can select an appropriate method from Digital Platforms and Algorithmic Accountability for a stated problem.
3. ApplicationApplication of Digital Platforms and Algorithmic Accountability
  The learner can evaluate a practice of Digital Platforms and Algorithmic Accountability against a stated criterion.
  The learner can transfer Digital Platforms and Algorithmic Accountability to a new documented context.
03AI and Media Studies
1. FoundationsFoundations of AI and Media Studies
  The learner can explain the core terms of AI and Media Studies.
  The learner can distinguish related ideas inside AI and Media Studies.
2. MethodsMethods in AI and Media Studies
  The learner can apply a method from AI and Media Studies to a documented case.
  The learner can select an appropriate method from AI and Media Studies for a stated problem.
3. ApplicationApplication of AI and Media Studies
  The learner can evaluate a practice of AI and Media Studies against a stated criterion.
  The learner can transfer AI and Media Studies to a new documented context.
04Research Seminar in Critical Technology
1. FoundationsFoundations of Research Seminar in Critical Technology
  The learner can explain the core terms of Research Seminar in Critical Technology.
  The learner can distinguish related ideas inside Research Seminar in Critical Technology.
2. MethodsMethods in Research Seminar in Critical Technology
  The learner can apply a method from Research Seminar in Critical Technology to a documented case.
  The learner can select an appropriate method from Research Seminar in Critical Technology for a stated problem.
3. ApplicationApplication of Research Seminar in Critical Technology
  The learner can evaluate a practice of Research Seminar in Critical Technology against a stated criterion.
  The learner can transfer Research Seminar in Critical Technology to a new documented context.
05The Ethics of AI in Media
1. FoundationsFoundations of The Ethics of AI in Media
  The learner can explain the core terms of The Ethics of AI in Media.
  The learner can distinguish related ideas inside The Ethics of AI in Media.
2. MethodsMethods in The Ethics of AI in Media
  The learner can apply a method from The Ethics of AI in Media to a documented case.
  The learner can select an appropriate method from The Ethics of AI in Media for a stated problem.
3. ApplicationApplication of The Ethics of AI in Media
  The learner can evaluate a practice of The Ethics of AI in Media against a stated criterion.
  The learner can transfer The Ethics of AI in Media 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 communication scholar who believes that the most complex systems we will ever study are human creations. My work focuses on leading research at the intersection of communication, data science, and journalism, developing new computational methods for news gathering, analysis, and storytelling.

Applied mentorship

I am a historian who is passionate about using data to make real-world impacts in academia and public policy. My mentorship focuses on helping students apply their skills to clinical and research problems, turning raw data into actionable insights.

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 Algorithm of Truth: How AI is Changing Journalism' - An accessible essay on the use of AI and machine learning to analyze news data. · • Blog Post: 'Why Every Journalist Needs a Data Scientist' - Discusses how data can be used to design more ethical and effective news stories. · • Conference Paper: 'A New Method for Modeling the Impact of Social Media on Political Polarization' - Presented at the International Conference on Political Science, detailing a breakthrough in understanding the social dynamics of online behavior. · • Journal Article: 'The Role of International Institutions in Post-Conflict Reconstruction' - Published in the Journal of International Relations, this paper provides a framework for understanding how international institutions can aid in post-conflict recovery. · • Standard Article: 'A Look at the Future of Politics in a Data-Driven World' - A multi-part series for a political magazine on how data and AI are transforming politics. · • Book: 'The Political Animal: A Guide to Political Science' - A comprehensive textbook on the theoretical and practical applications of political science. · • Total Score: 28/30 · • Kairos Badge: 🥇

R / 02

Mentor practice lens

• Article: 'The Role of Digital Archives in Preserving Cultural Heritage' - A concise article on how digital archives can be used to preserve and protect cultural heritage. · • 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 Narrative 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. Quentin Lemaire

Critical Theory, Digital Platforms, Algorithmic Accountability, AI Ethics

Meet your professor Open the classroom

AI Super Mentor

Dr. Marlene Vogt

Digital Humanities, Archival Science, Cultural Heritage, Middle Eastern History

Meet your mentor Open the classroom

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.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 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

Critical Technology and Media Studies (Ph.D.)

Academic focus

Practical focus

The British Library

The Guggenheim Museum

The National Archives

Journalist

Data Scientist

Policy Analyst

Research Scientist

Critical Thinking

Research Skills

Programming

Communication

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Quentin Lemaire

Dr. Marlene Vogt

Find the program that expands your universe.