University diploma Artificial intelligence and intellectual property distance learning

Registration to the University Diploma "Artificial Intelligence and Intellectual Property", academic year 2023-2024, is open.


Targeted audiences for the DU are Master of Laws students, IP law practitioners (European Patent Attorneys, Intellectual Property Lawyers) as well as non-specialists in intellectual property law, such as marketing professionals, project managers, business leaders and anyone interested in artificial intelligence and its relationship with intellectual property.


A Master's degree first year or equivalent is required as well as a good English level.

Application and admission

An admission committee composed of education officials, assisted by one or two professionals, reviews the application to verify the English proficiency and evaluate the motivation of candidates.

The number of places is limited to 30 people.

Submission of applications is done from the platform eCandidat (University of Strasbourg): see the section "Information and registration".

Educational objectives

The impact of the development of computer science on the knowledge of law is phenomenal and fundamental. Yet, few lawyers have the expertise to understand the impact of new algorithmic methods in their practice. The objectives of the training are twofold: the first is to transfer knowledge and skills in this high-tech sector, while the second is to provide technical training to lawyers.

The university degree “Artificial Intelligence and Intellectual Property” has, on the one hand, a goal to remedy this lack in the field of intellectual property rights. Indeed, if there are many training courses on the digital and the law, none sufficiently understates the new issues of artificial intelligence in the field of intellectual property rights, in order to understand and control the issues of protection of these new types of creation, their usefulness to the implementation of rights, as well as their technical and economic environment.

Moreover, another specific objective of the training is that it provides an entire module dedicated to computer technology (Module 1: What is AI: Technical introduction and demystification?), including practical work offering exercises on the code, algorithms, data. This gives it some added value and gives it originality compared to other existing training courses in France and Europe. Thus, at the end of the training, the participants will be able to take advantage not only of deep knowledge in law of the artificial intelligence, but also in computer technique.

Download the brochure for the year 2023-2024 by clicking on the image.


Module 1 : What is AI ? Technical introduction and demystification

  • Acquire the basic principles of computer technology and data science
  • Learn how to write a short program ("hello world"), compile it and run it
  • Learn how to write a short artificial intelligence algorithm in Python
  • Understand, with precise distinction, the various techniques of artificial intelligence and data science

Module 2 : Transverse : AI and the Law

  • Acquire a general legal culture concerning the relations between artificial intelligence and Law
  • Understand the ethical and societal challenges related to artificial intelligence
  • Understand the technical and legal cybersecurity challenges related to AI
  • Understand the challenges of artificial intelligence in terms of fundamental rights

Module 3 : Algorithms and data protection

  • Understand the legal issues related to data protection: business secret, "ownership" of data, rights to personal data.
  • Understand the legal framework related to the circulation of data: free circulation, competition law, open licenses.

Module 4 : Copyright and computer-generated work

  • Develop an in-depth understanding of the various issues related to the protection of artificial intelligence processes by copyright
  • Understand the issues related to the copyright protection of the products obtained by artificial intelligence processes: creativity, protection, ownership of rights
  • Understand the use of artificial intelligence for the enforcement of copyright

Module 5 : Patent law and computer generated inventions

  • Develop an in-depth understanding of all issues related to the patent protection of artificial intelligence applications and their products
  • Understand the use of artificial intelligence, from patent drafting to “patent landscaping”...
  • Understand the use of artificial intelligence for the implementation of patent rights


  • Adrien Aulas (Lawyer, Lighten)
  • Rahul Bhartiya (EUIPO)
  • Stefano Bianchini (Lecturer at the University of Strasbourg and researcher at BETA)
  • Enrico Bonadio (Reader, University of London)
  • Julien Cabay (Researcher FNRS, Associate Professor ULB and Liège)
  • Martin Clancy (Researcher, Trinity College Dublin)
  • Maxime Cornet (Researcher, Ecole des hautes études en sciences sociale)
  • Aliça Daly (WIPO)
  • Thierry Debled (European Patent attorney, LLR Patent & TrademarkAttorneys & CEIPI)
  • Rapahël Déchaux (Lecturer of Public Law - GERJC - Institut Louis Favoreu - Aix-Marseilles University
  • Estelle Derclaye (Professor, University of Nottingham, UK)
  • Dev Gangee (Professor, Oxford University)
  • Kim Gerdes (Professor of computational linguistics, Paris-Saclay University & CTO, Qatent)
  • Samir Ghamri Doudane (INPI)
  • Domenico Golzio (European Patent Office)
  • Andres Guadamuz (Professor at University of Sussex, UK)
  • Dominique Guellec (Scientific Advisor to the Observatory of Sciences and Techniques, Paris)
  • Natalia Kapyrina (Researcher, CEIPI)
  • Richard Kennedy (UK and European patent attorney,  partner at Venner Shipley, UK)
  • Jean Lassègue (Researcher at the National Scientific Research Centre - CNRS)
  • Thomas Lederer (European Patent Attorney, ABP Rechtsanwaltgesellshaft)
  • Nari Lee (Professor, Hanken School of Economics, Finland)
  • Mathias Le Masne de Chermont (Lawyer, Lighten)
  • Frédéric Marty (Researcher at CNRS)
  • Tobias McKenney (Copyright Counsel, Google)
  • Kelly Merkel (US Patent attorney, Senior Intellectual Property Counsel, Michelin)
  • Elodie Migliore (Assistant researcher, PhD-cand. at CEIPI, University of Strasbourg)
  • Carlos Munos Ferrandis (IPCounsel, Huggingface & Max Planck Institute)
  • Guido Noto La Diega (Prefesseur, Université de Stirling)
  • Clément Perarnaud (Researcher, Brussels School of Governance & Centre for European Policy Studies)
  • Eleonora Rosati (Professor, Stockholm University)
  • Noam Shemtov (Professor, Queen Mary University, London, UK)
  • Édouard Treppoz (Professor, Sorbonne University)
  • Aleš Završnik (Senior Researcher, University of Ljubljana, Slovakia)
  • Herbert Zech (Professor, Chairman of Civil Law, Technology Law and IT Law at Humboldt University, Berlin)

Teaching methods

Distance learning mode :

  • Visual presentation of lectures and discussions
  • Individual follow-up of participants / advice and Q&A between the pedagogical coordinators and each participant.
  • Course materials :
    • Videos
    • Multiple Choice Questionnaires

Course material

The teaching material is accessible on the training's internal online platform.

Type of training and certification

A university degree shall be delivered upon completion of the training and under condition of meeting the knowledge and skills level expected.


The evaluation system consists in a continuous assessment where each module has an equivalent coefficient.

The training, divided into five modules, can be followed either in its entirety, giving rise to the university degree, or module by module.

Each module will be sanctioned by a written test, lasting one hour, performed remotely (via the Moodle platform). Each teacher prepares a written test subject, which may include an essay, a technical note, a text commentary, a lecture question, or a case study. Each test gives rise to a score out of 20.

The final validation of the diploma is subject to the passing of a final oral examination, which consists of the defense, in the presence of two jury members, of a case study work on an artificial intelligence application.

A case study of an artificial intelligence application, about ten pages long, is required at the end of the 5 training modules. 

Each module can also be followed independently, without being able to then claim the diploma but a simple certificate of participation (Pass' Compétences).

Registration fees 2023/2024

Students (Initial training):

Training fees: 1,030 euros.

Every student in initial training at a higher education institution must pay:

Professional (continuing education):

Training fees: 3,600 euros (including university fees)

The training can also be taken in modules (without giving right to a diploma):

Fee for each module (continuing education): 1,050 euros (including university fees).

Time Schedule 2023-2024

The training represents an hourly volume of 120 CM hours per year, carried out remotely (via the Moodle platform).

Each module represents a volume of 24 hours of lectures: 12 hours of personal work and 12 hours of teaching.

For the academic year 2023-2024, teaching will take place according to the following calendar (hours are CET) :

  • Module 1: 

3-4 November 2023: hybrid (Strasbourg / Zoom), 9:00-12:30 / 14:00-17:00

17-18 November 2023: hybrid (Strasbourg / Zoom), 9:00-12:30 / 14:00-17:00

2 December 2023: Hackaton (Zoom), 9:00-13:00

Exam: 8 December 2023, 18:00 - 19:00 (online)

  • Module 2:

8-13 January 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

22-27 January 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

Exam : 9 February 2024: online, 18:00 - 19:00

  • Module 3 :

19-24 February 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

4 - 9 March 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

Exam : 22 March 2024, 18:00 - 19:00

  • Module 4 : 

25-30 March 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

8-9 April 2024: online, 18:00 - 20:00

15-20 April 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

Exam: 3 May 2024: online, 18:00 - 20:00

  • Module 5 : 

13-18 May 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

27 May -1st June 2024: online, 18:00 - 20:00 (Saturday: 10:00 - 12:00)

3 June2024: online, 18:00 - 20:00

Exam: 14 June 2024, 18:00 - 19:00


6pm to 8pm CET during the week, 10am to 12pm CET on the Saturday.

This schedule is given on an indicative basis and can slightly change.


  • Module 1: hybride
  • Modules 2 to 5: Remote training.

Heads of studies


Researcher at CEIPI, University of Strasbourg


Associate Professor at CEIPI, Director of the Research Department of the CEIPI, University of Strasbourg

Information and registration

Students must submit their application via the platform eCandidat.

Instructions for the eCandidat registration platform

Submission of applications for the academic year 2023/2024 is closed.

For any other administrative or academic information, please send an email to: a.mahout{at]

or Tel: +33 (0)3 68 85 80 27

Please note that you will not receive an answer regarding your enrollment to the diploma before the end of the application period which is in September.



Intellectual property
Industrial property
Artificial intelligence