C7818 - EU DATA LAW

Anno Accademico 2025/2026

  • Docente: Federico Ferretti
  • Crediti formativi: 6
  • SSD: IUS/05
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Lezioni in presenza (totalmente o parzialmente)
  • Campus: Bologna
  • Corso: Laurea Magistrale in Statistical Sciences (cod. 9222)

Conoscenze e abilità da conseguire

At the end of the course unit, students will be able to: -demonstrate a comprehensive understanding of the rationale and legal principles underlying both the protection of personal data and the regulation of data access and sharing, including the relevant rights at national, EU, and international level, and issues related to proprietary rights, competition, and innovation; - identify and critically assess data protection rights, data access and sharing rights, and the ethical implications arising in these contexts; -analyze and address complex problems related to the coordination and application of overlapping legal norms within their area of expertise.

Contenuti

Introduction: About this module, Class engagement and activities, Assessment.
Privacy and Data Protection
The GDPR
The GDPR
Data markets and data-related rights
Data and Intellectual Property
Data and Consumer Protection
Data Access and Sharing: the Data Governance Act; and the Data Act
The Regulation of Artificial Intelligence

Testi/Bibliografia

Essential Reading
• Federico Ferretti, Allegra Canepa, Francesca Mattassoglio, EU Digital Markets Law (Kluwer Law International, 2025);
• Material provided in class.

Metodi didattici

Lectures, seminars, group readings, students' presentations

Modalità di verifica e valutazione dell'apprendimento

For those who attend at least 70% of the classes, the assessment of this course will be:

- 50% by performance in class (intermediary test); and

- 50% by submission of a written research project (coursework) of up to 3.000 words in length (excluding bibliography and/or bibliographical references in the footnotes) on a topic released in the last teaching week. The coursework shall be submitted in WORD format (for the check of the number of words and plagiarism, including the use of chatbots) via email to f.ferretti@unibo.it by the exam date at the stated time. Coursework will not be accepted after that time and date! Equally, coursework will not be accepted for failure to register for the exam; and

All students are entitled to refuse the overall mark given, or may fail. In these cases they may resubmit for assessment on the basis of 100% submission of a given written research project (coursework) in the following exam session. All submissions shall be of a length between min. 8.000 words and max 10.000 words (excluding bibliography and/or bibliographical references in the footnotes) on a question released on the virtual learning environment 3 weeks before the exam date. The coursework shall be submitted in WORD format (for the check of the number of words and plagiarism, including the use of chatbots) via email to f.ferretti@unibo.it [mailto:f.ferretti@unibo.it] by the exam date at the stated time. Coursework will not be accepted after that time and date! Equally, coursework will not be accepted for failure to register for the exam.

For those who do not attend, the assessment on this course will be 100% by submission of a written research project (coursework) of a length between min. 8.000 and max 10.000 words (excluding bibliography and/or bibliographical references in the footnotes) on a question released on the virtual learning environment 3 weeks before the exam date. The coursework shall be submitted in WORD format (for the check of the number of words and plagiarism, including chatbots) via email to f.ferretti@unibo.it by the exam date at the stated time. Coursework will not be accepted after that time and date! Equally, coursework will not be accepted for failure to register for the exam.

 

The use of Artificial Intelligence is strictly forbidden.


Mark descriptors:

• <18 insufficient - not pass

• 18-23 pass, sufficient

• 24-27 pass, good

• 28-30 pass, very good

• 30 cum laude pass, excellent


Strumenti a supporto della didattica

Powerpoint presentations, textbooks, reading material

Orario di ricevimento

Consulta il sito web di Federico Ferretti