European Master in Law, Data and Artificial Intelligence (EMILDAI)
A specialized master's programme addressing the legal, technical, and ethical challenges of AI and data digitization.
Best for:Best for students with a background in Law or Computer Science seeking an interdisciplinary career in AI regulation and data governance.
Overview
The European Master in Law, Data and Artificial Intelligence (EMILDAI) is an interdisciplinary programme designed to equip students with the expertise required to navigate the complex landscape of AI systems. It focuses on the legal, ethical, and technical aspects of data processing within modern digital environments. Students engage with diverse tracks that combine legal theory with computing applications, preparing them for roles in businesses and public institutions. The curriculum is structured to address the global demand for professionals capable of ensuring safe and compliant data governance.
What you'll do
- Engage in interdisciplinary coursework covering legal frameworks and technical AI implementation.
- Participate in specialized study tracks focusing on data governance, cybersecurity, or digital regulations.
- Demonstrate proficiency in English and a second language relevant to the chosen study track.
- Complete academic requirements across multiple international partner institutions.
- Adhere to ethical and legal standards in data processing and AI system development.
Requirements
Degree required: Undergraduate Honours degree (H2.1 for Law, H2.2 for Computing) or equivalent.
Degree offered: Master's
Language: English (mandatory); French or Spanish (track-dependent).
Instruction: English, French, or Spanish depending on the track.
- Academic background in Law, Computer Science, or a closely related discipline.
- Proficiency in English language.
- Proficiency in French or Spanish depending on the selected study track.
- Ability to meet specific entry requirements for international partner universities.
- Must meet entry requirements at the time of application.
- Non-native English speakers must satisfy university English competency standards.
- Non-native French speakers for the Data Governance track must demonstrate C1 proficiency.
- Non-native Spanish speakers for the Cybersecurity track must demonstrate appropriate proficiency.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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How to apply
Applications must be submitted through the official university portal. Candidates should ensure all language proficiency documentation is attached, particularly for those selecting specific study tracks. Incomplete applications will not be considered.
- Academic transcripts
- Language proficiency certificates
- Evidence of language competence for specific tracks
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.