University diploma Artificial intelligence and intellectual property

People concerned

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.

Teaching language: English.


A Bachelor or equivalent is required and a good English level.

Conditions of admission and admission procedures

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.

Opening of applications: 12 November 2019

Deadline for applications: 20 January 2020

Notification of accepted applications: 25 January 2020.

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.

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Module 1 : What is AI ? Technical introduction and demystification

  • Acquire the basic principles of computer technology and data science
  • Learn to write, compile and execute simple programs- - Understand the main concepts and techniques of artificial intelligence, from symbolic AI to deep learning.
  • Learn to implement short artificial intelligence algorithm in Python
  • Understand the issues and limitations of AI-related algorithmic processing

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

Confirmed speakers

Adrien Aulas (Attorney at Law, Paris Bar, co-founder of Aeon)
Maja Brkan
(Associate Professor of EU law, Maastricht University)
Gaëlle Candel
(Researcher PHD Student at Ingenico Group/ École Normale Supérieure, Paris)
Stéphanie Carre
(Associate Professor, CEIPI, University of Strasbourg)
Thierry Debled
(Adjunct Professor, CEIPI, University of Strasbourg)
Jean-Marc Deltorn
(PhD, CEIPI, University of Strasbourg)
Giancarlo Frosio
(Associate Professor, CEIPI, University of Strasbourg)
Kim Gerdes
(Associate Professor in linguistics, ILPGA, University Sorbonne Nouvelle - Paris 3)
Julien Gossa
(Associate professor in computer science, ICPS / iCube, University of Strasbourg)
Florence G’sell (Professor, University of Lorraine / IEP Paris)
Dominique Guellec
(Scientific Advisor, Observatoire des sciences et des techniques, Paris)
Benjamin Jean (President at INNO3 consulting firm, OpenLaw, Paris)
Ross D. King
(Professor of Machine Intelligence at Chalmers University of Technology, Chalmers University of Technology, Sweden)
Mihalis Kritikos (Policy Analyst, EU Parliament)
Franck Macrez (Associate Professor, CEIPI, University of Strasbourg)
Gianclaudio Malgieri (Attorney at Law and a doctoral researcher, University of Brussels, Sant’Anna School of advanced studies, Pisa)
Cédric Manara (Director, Head of Copyright, Google)
Frédéric Marty (CNRS Research Fellow, University Nice Sofia-Antipolis
Mathias le Masne de Chermont (Attorney at Law, Paris Bar, co-founder of Aeon)
Tobias McKenney (Senior European IP Policy Manager, Google)
Yannick Meneceur ("Artificial intelligence" Advisor, Council of Europe
Eleonora Rosati (Associate Professor, Stockholm University ; Of Counsel, Bird and Bird)
Hugo Ruggieri (Legal officer and DPO, Doctrine, Paris)
Alexander Seger (Head of the Cybercrime Division, Council of Europe)
Édouard Treppoz (Professor, University Lyon 3)
A representative from WIPO

Teaching methods

The first module will combine lectures, tutorials and practical work in computer science.

Other courses will take the form of lectures, seminars and conferences.

Nature and type of diploma

This training allows obtaining a university degree under condition of meeting the knowledge assessment methods and skills that are brought to the attention of the participants. A certificate of participation will be delivered at the end of the training as well.

Evaluation and examination

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.

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

Course direction


Associate Professor at CEIPI, University of Strasbourg, Director General and Director of the French Section of CEIPI

E-mail :


Associate Professor at CEIPI, University of Strasbourg

E-mail :

CEIPI – 11 rue du Maréchal Juin – BP 68 – 67046 Strasbourg

Practical information

The course is composed of 5 modules, representing 120 training hours per year.

Each module represents a volume of 24 hours of lectures.

For the academic year 2019-2020, the course will be held from February to June, in two-day sessions, Fridays and Saturdays.

Course schedule

  • Module 1: February 7 and 8, 2020; February 21 and 22, 2020
  • Module 2: March 6 and 7; March 20 and 21
  • Module 3: 3 and 4 April; April 17 and 18
  • Module 4: April 24 and 25; May 15 and 16
  • Module 5: May 29 and 30; June 5th and 6th


The course will be held at the CEIPI premises in Strasbourg.

Centre d’Etudes Internationales de la Propriété Intellectuelle

Université de Strasbourg

11 rue du Maréchal Juin

BP 68

67046 Strasbourg Cedex

Tuition fees for year 2019/2020

Initial training: 1 500 euros (plus possibly 243 euros of admission fees master degree level)

Continuing training: 3 500 euros

By each module: 1 000 euros

Information and enrolment

For questions related to the educational program, please contact:                        

Associate Professor at CEIPI, University of Strasbourg

Regarding registration, please contact:

Tel: +33 3 68 85 80 11

Enrolment files

You can download the Application form and the Agreement to be sent to the CEIPI at the address:

Application form



  • Intellectual property
  • Industrial property
  • Artificial intelligence

* Training program subject to approval by the Administrative Board of the University of Strasbourg.