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Program

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Program

Program Description

Program Description

The Intensive Dual Master’s Programme in Computational Journalism and Artificial Intelligence is a 90‑ECTS, three‑semester degree that merges the journalistic ethos of investigative reporting with the technical depth of data science and AI. Jointly designed by the Department of Communication & Media Studies of the National & Kapodistrian University of Athens (NKUA) and the Graduate School of Journalism at Columbia University, the programme offers an integrated curriculum where theory, laboratory work, and real‑world practice unfold side‑by‑side.

The Intensive Dual Master’s Programme in Computational Journalism and Artificial Intelligence is a 90‑ECTS, three‑semester degree that merges the journalistic ethos of investigative reporting with the technical depth of data science and AI. Jointly designed by the Department of Communication & Media Studies of the National & Kapodistrian University of Athens (NKUA) and the Graduate School of Journalism at Columbia University, the programme offers an integrated curriculum where theory, laboratory work, and real‑world practice unfold side‑by‑side.

Why This Program?

Why This Program?

Future‑proof skill‑set


Courses such as Data Journalism, Algorithms, AI in Content Production and New Business Models & AI teach students to source, clean, analyse and visualise large, heterogeneous datasets while staying alert to ethical, legal and societal implications.


Bridging newsroom & lab


Live newsroom simulations, cross‑border data investigations and a 30‑ECTS Master’s Thesis ensure that every graduate can translate computational insights into compelling public‑interest stories.


Global outlook


Collaboration with Columbia University brings guest faculty, joint workshops and exposure to international best practice, preparing students to lead in multilingual, multicultural media environments.

Program Information

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Structure & Delivery

Structure & Delivery

SEMESTER

FOCUS

ECTS

COMPONENTS

1 (Winter)

Foundations of computational journalism & AI

30

Introductory theory, Python labs, project‑based coursework

2 (Spring)

Advanced tools, cross‑border applications & business models

30

Data‑driven story production, algorithm design, product development sprints

3 (Summer/Autumn)

Independent Master’s Thesis

30

Original research or investigative project accompanied by a public defence


90 ECTS(full‑time)



Learning Outcomes for the Graduates

Learning Outcomes for the Graduates

Collect, Analyse & Verify Data


Use scraping, APIs, databases, and investigative OSINT techniques. Analyse datasets with Python (pandas, Jupyter / Colab) and statistical / NLP methods, drawing defensible conclusions.


Tell evidence‑based stories


Use AI for news-gathering, fact-checking, production automation, and audience engagement while recognising bias, privacy, and accountability constraints.


Tell evidence‑based stories


Combine narrative craft with interactive visuals and algorithmically generated insights.

Collect, Analyse & Verify Data


Use scraping, APIs, databases, and investigative OSINT techniques. Analyse datasets with Python (pandas, Jupyter / Colab) and statistical / NLP methods, drawing defensible conclusions.


Tell evidence‑based stories


Use AI for news-gathering, fact-checking, production automation, and audience engagement while recognising bias, privacy, and accountability constraints.


Tell evidence‑based stories


Combine narrative craft with interactive visuals and algorithmically generated insights.

Admissions & Cohort Profile

Admissions & Cohort Profile

Up to 20 per year, maintaining a low student‑to‑faculty ratio.

Eligible backgrounds


Journalism, Communication, Social & Political Sciences, Computer Science, Data/Information Technology, Humanities and related fields (Greek or recognised foreign degrees).

English requirement


C2‑level certification or proof of previous full‑time study in an Anglophone system. Selection weights academic record, disciplinary relevance, research or professional experience, references and interview performance.

Market Accessible Career Paths for the Alumni

Market Accessible Career Paths for the Alumni

Data / computational journalists in international newsrooms


Investigative reporters specialising in cross‑border, data‑centric projects


AI & automation editors and product managers


Data analysts or communication strategists in NGOs, tech firms and consultancies


Researchers or PhD candidates in media innovation, human‑centred AI and information science.

Our Core Values

Our Core Values

Our Core Values

Excellence & Intellectual Rigor

Excellence & Intellectual Rigor

Excellence & Intellectual Rigor

We pursue the highest standards in teaching, research and professional practice, continuously updating the curriculum so students master cutting‑edge tools and theories in computational journalism and AI.

We pursue the highest standards in teaching, research and professional practice, continuously updating the curriculum so students master cutting‑edge tools and theories in computational journalism and AI.

We pursue the highest standards in teaching, research and professional practice, continuously updating the curriculum so students master cutting‑edge tools and theories in computational journalism and AI.

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Integrity, Transparency & Accountability

Integrity, Transparency & Accountability

Integrity, Transparency & Accountability

Decision‑making and daily operations are guided by honesty, openness and shared responsibility, reflecting both departmental policy and the University’s research‑ethics framework.

Decision‑making and daily operations are guided by honesty, openness and shared responsibility, reflecting both departmental policy and the University’s research‑ethics framework.

Decision‑making and daily operations are guided by honesty, openness and shared responsibility, reflecting both departmental policy and the University’s research‑ethics framework.

Academic Freedom, Critical Thinking & Open Dialogue

Academic Freedom, Critical Thinking & Open Dialogue

Academic Freedom, Critical Thinking & Open Dialogue

We safeguard free inquiry, encourage evidence‑based debate and nurture a culture of curiosity, critique and solidarity among students, faculty and partners.

We safeguard free inquiry, encourage evidence‑based debate and nurture a culture of curiosity, critique and solidarity among students, faculty and partners.

We safeguard free inquiry, encourage evidence‑based debate and nurture a culture of curiosity, critique and solidarity among students, faculty and partners.

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Collaboration, Diversity & Global Engagement

Collaboration, Diversity & Global Engagement

Collaboration, Diversity & Global Engagement

We build interdisciplinary teams and international partnerships that respect different perspectives and promote inclusive, cross‑border news production.

We build interdisciplinary teams and international partnerships that respect different perspectives and promote inclusive, cross‑border news production.

We build interdisciplinary teams and international partnerships that respect different perspectives and promote inclusive, cross‑border news production.

Faculty

Faculty

Faculty

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Konstantinos Mourlas

Professor

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Konstantinos Mourlas

Professor

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Konstantinos Mourlas

Professor

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Konstantinos Mourlas

Professor

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Katerina Sotirakou

Visiting Professor

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Katerina Sotirakou

Visiting Professor

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Katerina Sotirakou

Visiting Professor

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Katerina Sotirakou

Visiting Professor

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Jonathan Soma

Professor

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Jonathan Soma

Professor

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Jonathan Soma

Professor

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Jonathan Soma

Professor

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Giannina Segnini

Professor

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Giannina Segnini

Professor

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Giannina Segnini

Professor

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Giannina Segnini

Professor

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Dhrumil Mehta

Associate Professor

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Dhrumil Mehta

Associate Professor

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Dhrumil Mehta

Associate Professor

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Dhrumil Mehta

Associate Professor

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Justin Elliott

Associate Professor

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Justin Elliott

Associate Professor

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Justin Elliott

Associate Professor

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Justin Elliott

Associate Professor

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Irene Plagianos

Associate Professor

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Irene Plagianos

Associate Professor

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Irene Plagianos

Associate Professor

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Irene Plagianos

Associate Professor

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Mario R. Garcia

Associate Professor

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Mario R. Garcia

Associate Professor

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Mario R. Garcia

Associate Professor

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Mario R. Garcia

Associate Professor

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