DoctorateFaculty of Social Sciences & Humanities

Visual Culture and Media Archaeology (Ph.D.)

Welcome, future curators of human creativity. We will not just look at art; we will understand its history, its cultural context, and its power to shape our understanding of the world.

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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

Art History, Visual Culture, Digital Art, Museum Studies

Practical focus

Cultural Studies, Semiotics, Digital Humanities, Italian Art 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 New York Times
Internships in literary journalism

Career opportunities

Museum Curator
In a museum or gallery
Art Critic
In an art magazine or newspaper
Data Scientist
In a variety of industries
Documentarian
Creating art historical documentaries

Jobs and projects

Critical Thinking
Evaluating the validity and reliability of art historical interpretations
Research Skills
Finding, analyzing, and synthesizing information
Communication
Explaining complex art historical 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
- Art History: Understanding the history of art and its movements.
- Visual Culture: Analyzing the role of visual media in society.
- Data Analysis: Interpreting and using data to inform art historical models.
- Digital Art: Understanding the history and theory of digital art.

Listed courses

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

Visual Culture and Media Archaeology (Ph.D.)

01Foundations of Art History
1. FoundationsFoundations of Foundations of Art History
  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 Art History.
  The learner can distinguish related ideas inside Foundations of Art History.
2. MethodsMethods in Foundations of Art History
  The learner can apply a method from Foundations of Art History to a documented case.
  The learner can select an appropriate method from Foundations of Art History for a stated problem.
3. ApplicationApplication of Foundations of Art History
  The learner can evaluate a practice of Foundations of Art History against a stated criterion.
  The learner can transfer Foundations of Art History to a new documented context.
02Visual Culture and Digital Media
1. FoundationsFoundations of Visual Culture and Digital Media
  The learner can explain the core terms of Visual Culture and Digital Media.
  The learner can distinguish related ideas inside Visual Culture and Digital Media.
2. MethodsMethods in Visual Culture and Digital Media
  The learner can apply a method from Visual Culture and Digital Media to a documented case.
  The learner can select an appropriate method from Visual Culture and Digital Media for a stated problem.
3. ApplicationApplication of Visual Culture and Digital Media
  The learner can evaluate a practice of Visual Culture and Digital Media against a stated criterion.
  The learner can transfer Visual Culture and Digital Media to a new documented context.
03Data Science for Art Historians
1. FoundationsFoundations of Data Science for Art Historians
  The learner can explain the core terms of Data Science for Art Historians.
  The learner can distinguish related ideas inside Data Science for Art Historians.
2. MethodsMethods in Data Science for Art Historians
  The learner can apply a method from Data Science for Art Historians to a documented case.
  The learner can select an appropriate method from Data Science for Art Historians for a stated problem.
3. ApplicationApplication of Data Science for Art Historians
  The learner can evaluate a practice of Data Science for Art Historians against a stated criterion.
  The learner can transfer Data Science for Art Historians to a new documented context.
04Research Seminar in Art History
1. FoundationsFoundations of Research Seminar in Art History
  The learner can explain the core terms of Research Seminar in Art History.
  The learner can distinguish related ideas inside Research Seminar in Art History.
2. MethodsMethods in Research Seminar in Art History
  The learner can apply a method from Research Seminar in Art History to a documented case.
  The learner can select an appropriate method from Research Seminar in Art History for a stated problem.
3. ApplicationApplication of Research Seminar in Art History
  The learner can evaluate a practice of Research Seminar in Art History against a stated criterion.
  The learner can transfer Research Seminar in Art History to a new documented context.
05The Ethics of AI in Art Analysis
1. FoundationsFoundations of The Ethics of AI in Art Analysis
  The learner can explain the core terms of The Ethics of AI in Art Analysis.
  The learner can distinguish related ideas inside The Ethics of AI in Art Analysis.
2. MethodsMethods in The Ethics of AI in Art Analysis
  The learner can apply a method from The Ethics of AI in Art Analysis to a documented case.
  The learner can select an appropriate method from The Ethics of AI in Art Analysis for a stated problem.
3. ApplicationApplication of The Ethics of AI in Art Analysis
  The learner can evaluate a practice of The Ethics of AI in Art Analysis against a stated criterion.
  The learner can transfer The Ethics of AI in Art Analysis 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 an art historian who believes that art is not just a form of beauty, but a powerful tool for understanding human creativity and culture. My work focuses on exploring the history of human creativity through art, from ancient sculptures to digital media.

Applied mentorship

I am an art historian with a passion for 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 Creativity: How AI is Changing Art' - An accessible essay on the use of AI and machine learning to analyze art. · • Blog Post: 'Why Every Curator Needs a Data Scientist' - Discusses how data can be used to design more ethical and effective art exhibitions. · • Conference Paper: 'A New Method for Modeling the Impact of Digital Media on Art' - Presented at the International Conference on Digital Humanities, detailing a breakthrough in understanding the social dynamics of online art. · • Journal Article: 'The Role of Visual Culture in Post-Conflict Reconstruction' - Published in the Journal of Visual Anthropology, this paper provides a framework for understanding how visual culture can aid in post-conflict recovery. · • Standard Article: 'A Look at the Future of Art History in a Data-Driven World' - A multi-part series for an art magazine on how data and AI are transforming art history. · • Book: 'The Digital Curator: A Guide to Modern Art History' - A comprehensive textbook on the theoretical and practical applications of digital art history. · • 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 Visual Pattern Recognition

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. David Williams

Art History, Visual Culture, Digital Art, Museum Studies

Meet your professor Open the classroom

AI Super Mentor

Dr. Isabella Moretti

Cultural Studies, Semiotics, Digital Humanities, Italian Art 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

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Visual Culture and Media Archaeology (Ph.D.)

Academic focus

Practical focus

The British Library

The Guggenheim Museum

The New York Times

Museum Curator

Art Critic

Data Scientist

Documentarian

Critical Thinking

Research Skills

Communication

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. David Williams

Dr. Isabella Moretti

Find the program that expands your universe.