Data Journalism

Base Knowledge


Teaching Methodologies

Teaching methodologies are based on exposititive and active sessions, in which the student’s ability to investigate, analyze and reflect is explored.

Continuous assessment will take into account the quality of the students’ involvement in carrying out the programmed activities, namely attendance, participation in activities and practical assignments (60% individual assignments; 40% group assignments).

The evaluation by exam consists of a written test (100%) that will grasp the program contents.

Learning Results

Understanding the study of data journalism as an emerging area.

Understand the potential and challenges of data for journalism.

Know how to search, extract, analyze and interpret the data.  


Introduction to Data Journalism: definitions and perspectives.

Public data and transparency policies.

Data extraction and analysis tools.

How to turn data into “stories.”

Data presentation: charts, maps, timelines, and other interactive visualizations.

The challenges of “Mashine learning” and Artificial Intelligence.

Case studies lab.

Grading Methods

  • - Written test - 100.0%
Continuing evaluation
  • - Individual work - 60.0%
  • - Group work - 40.0%




Bradshaw, P. (2021). Finding Stories With Spreadsheets. Leanpub. Feigenbaum, A. & Alamalhodaei, A. (2020) The Data Storytelling Workbook. Routledge.

Garcia, R., Rosa, M. J. V. & Barbosa, L. (2017). Que número é este? Um guia sobre estatísticas para jornalistas. Fundação Francisco Manuel dos Santos.

Gray, J. & Bounegru, L. (2021). The Data Journalism Handbook 2. Amazonaws.

Hahn, O. & Stalph, F. (2020). Digital Investigative Journalism: Data, Visual Analytics and Innovative Methodologies in International Reporting. Palgrave Macmillan.

Jones, B. (2020). Learning to See Data: How to Interpret the Visual Language of Charts. Data Literacy Press.

Martinho, A. P. (2014). Jornalismo de dados: caraterização e fluxos de trabalho. Exedra. 9, 64–73.

Royal, C. (2021). Review of Preserving Data Journalism: A Systematic Literature Review. MILab Journal.

Rogers, S. (2013). Facts are Sacred: The Power of Data. Guardian Faber Publishing.

Tong, J. (2022). Journalism in the Data Age.Sage.