Computational Journalism (M.Sc.)

Здравейте! 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.

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Level: Master
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Data Journalism, Algorithmic Accountability, AI for Investigative Journalism, Media 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

Policy Analyst
In government or a think tank
Political Consultant
Advising on political campaigns
Diplomat
In a foreign service or international organization
Journalist
Covering politics and international relations

Jobs and projects

Critical Thinking
Evaluating the validity and reliability of political arguments
Research Skills
Finding, analyzing, and synthesizing information
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.

Computational Journalism (M.Sc.)

01Advanced Data Journalism
1. FoundationsFoundations of Advanced Data Journalism
  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 Advanced Data Journalism.
  The learner can distinguish related ideas inside Advanced Data Journalism.
2. MethodsMethods in Advanced Data Journalism
  The learner can apply a method from Advanced Data Journalism to a documented case.
  The learner can select an appropriate method from Advanced Data Journalism for a stated problem.
3. ApplicationApplication of Advanced Data Journalism
  The learner can evaluate a practice of Advanced Data Journalism against a stated criterion.
  The learner can transfer Advanced Data Journalism to a new documented context.
02Algorithmic Accountability Reporting
1. FoundationsFoundations of Algorithmic Accountability Reporting
  The learner can explain the core terms of Algorithmic Accountability Reporting.
  The learner can distinguish related ideas inside Algorithmic Accountability Reporting.
2. MethodsMethods in Algorithmic Accountability Reporting
  The learner can apply a method from Algorithmic Accountability Reporting to a documented case.
  The learner can select an appropriate method from Algorithmic Accountability Reporting for a stated problem.
3. ApplicationApplication of Algorithmic Accountability Reporting
  The learner can evaluate a practice of Algorithmic Accountability Reporting against a stated criterion.
  The learner can transfer Algorithmic Accountability Reporting to a new documented context.
03AI for Investigative Journalism
1. FoundationsFoundations of AI for Investigative Journalism
  The learner can explain the core terms of AI for Investigative Journalism.
  The learner can distinguish related ideas inside AI for Investigative Journalism.
2. MethodsMethods in AI for Investigative Journalism
  The learner can apply a method from AI for Investigative Journalism to a documented case.
  The learner can select an appropriate method from AI for Investigative Journalism for a stated problem.
3. ApplicationApplication of AI for Investigative Journalism
  The learner can evaluate a practice of AI for Investigative Journalism against a stated criterion.
  The learner can transfer AI for Investigative Journalism to a new documented context.
04Media Ethics in the Digital Age
1. FoundationsFoundations of Media Ethics in the Digital Age
  The learner can explain the core terms of Media Ethics in the Digital Age.
  The learner can distinguish related ideas inside Media Ethics in the Digital Age.
2. MethodsMethods in Media Ethics in the Digital Age
  The learner can apply a method from Media Ethics in the Digital Age to a documented case.
  The learner can select an appropriate method from Media Ethics in the Digital Age for a stated problem.
3. ApplicationApplication of Media Ethics in the Digital Age
  The learner can evaluate a practice of Media Ethics in the Digital Age against a stated criterion.
  The learner can transfer Media Ethics in the Digital Age to a new documented context.
05Research Seminar in Journalism
1. FoundationsFoundations of Research Seminar in Journalism
  The learner can explain the core terms of Research Seminar in Journalism.
  The learner can distinguish related ideas inside Research Seminar in Journalism.
2. MethodsMethods in Research Seminar in Journalism
  The learner can apply a method from Research Seminar in Journalism to a documented case.
  The learner can select an appropriate method from Research Seminar in Journalism for a stated problem.
3. ApplicationApplication of Research Seminar in Journalism
  The learner can evaluate a practice of Research Seminar in Journalism against a stated criterion.
  The learner can transfer Research Seminar in Journalism 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 journalist who believes that the most complex systems we will ever study are human creations. My work focuses on mastering the use of data and computation to find and tell important stories. I specialize in data journalism, algorithmic accountability reporting, and AI for investigative journalism.

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. Ivan Petrov

Data Journalism, Algorithmic Accountability, AI for Investigative Journalism, Media Ethics

Meet your professor Open the classroom

AI Super Mentor

Dr. Mei Lin

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 This programme	Doctorate
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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Computational Journalism (M.Sc.)

Academic focus

Practical focus

The British Library

The Guggenheim Museum

The National Archives

Policy Analyst

Political Consultant

Diplomat

Journalist

Critical Thinking

Research Skills

Communication

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Ivan Petrov

Dr. Mei Lin

Find the program that expands your universe.