DEAI Erasmus Mundus Program in Data Engineering and Artificial Intelligence

The DEAI Erasmus Mundus Joint Master in Data Engineering and Artificial Intelligence is a highly competitive two-year international master’s programme designed for students aiming to become leaders in the fields of large-scale data engineering, analytics and artificial intelligence. Offered in English, DEAI combines rigorous academic training with exposure to research and industry partners across Europe, equipping graduates with advanced technical skills and a global perspective essential for data-driven careers.

Launched as a new generation Erasmus+ Joint Master Degree and building on the legacy of previous collaborative programmes, DEAI brings together Université libre de Bruxelles (ULB) in Belgium, Universitat Politècnica de Catalunya (UPC) in Spain, Technische Universität Wien (TUW) in Austria, Université Claude Bernard Lyon 1 (UCBL) in France and Università degli Studi di Padova (UniPD) in Italy. The curriculum fosters mobility, specialisation choices and research engagement, preparing graduates for roles in academia, industry or doctoral studies.

FeatureDetails
Programme NameErasmus Mundus Joint Master in Data Engineering and Artificial Intelligence
Duration2 academic years (120 ECTS)
Degree TypeJoint/Multi-degree Master’s Degree
Language of InstructionEnglish
Study ModelYear 1 at Université libre de Bruxelles (ULB) and Universitat Politècnica de Catalunya (UPC), Year 2 at specialisation partner (TUW or UCBL or UniPD)
Scholarship TypeErasmus+ Joint Master Funding (Erasmus Mundus scholarships)
Academic FocusData Engineering, Artificial Intelligence, Analytics, Specialisations in Heterogeneous Systems, Knowledge-Driven Data, Business & Financial Data
ItemDetail
StatusOngoing
Start Date01 October 2024
End Date30 November 2031
Action TypeErasmus Mundus Joint Master Degree (EMJM)
UniversityCountry
Université libre de Bruxelles (ULB)Belgium
Universitat Politècnica de Catalunya (UPC)Spain
Technische Universität Wien (TUW)Austria
Université Claude Bernard Lyon 1 (UCBL)France
Università degli Studi di Padova (UniPD)Italy
YearLocationAcademic Components
Year 1Belgium (ULB) & Spain (UPC)Foundations in data engineering, analytics, AI fundamentals (first two semesters)
Year 2Austria (TUW) or France (UCBL) or Italy (UniPD)Specialised track in selected domain + Master Thesis (30 ECTS)

The DEAI Erasmus Mundus programme integrates academic learning with strong industry and research connections through associated partners from private R&D, service companies, public research institutes, and authorities contributing to training, technical resources, job placements, internships and thesis opportunities. These collaborations enhance graduates’ readiness for real-world challenges in data engineering and AI.

Applicants to the DEAI Erasmus Mundus must meet the following criteria:

  • Bachelor’s degree equivalent to 180 ECTS (strong preference for computer science/mathematics/related fields)
  • English language proficiency at B2 level (CEFR)
  • Academic excellence and motivation for advanced studies in AI and data engineering
  • Bachelor’s degree certificate and official transcripts
  • Proof of English proficiency
  • Curriculum Vitae
  • Motivation letter
  • Reference letters
  • Passport copy or identification
  • Additional documents as specified in the DEAI Application Manual
  1. Visit the official DEAI application portal on the programme website.
  2. Create an account and complete the online application form.
  3. Upload all required documents in PDF format.
  4. Provide referee contact details for recommendation letters.
  5. Review all entries carefully.
  6. Submit your application before the published deadlines.
  7. Await selection results and further steps.

Apply Now!

Application Timelines change each year. Please visit the official website of the Program to confirm the exact timeline.

StageTimeline
Applications OpenOctober 21st, 2025
Application Deadline (Erasmus+ grants)January 13th, 2026
Self-funded Applications OpenMarch 1st, 2026
Self-funded Deadline (Non-EU)April 30th, 2026
Self-funded Deadline (EU)June 30th, 2026
Final Results NotificationJuly – August
Programme StartSeptember 2026
  • Erasmus+ funding covering tuition and participation costs
  • Monthly stipend during studies
  • Travel and installation allowances for non-EU residents
  • Access to summer schools, industry events and research engagements
  • Demonstrate clear motivation for advanced studies in AI and data engineering
  • Emphasise academic achievements and relevant projects
  • Provide professional reference letters
  • Ensure all documents are translated into English and error-free

As DEAI is a newly launched programme with first cohorts starting in Fall 2026, alumni experiences are not yet available. Graduates are expected to pursue careers in data science, AI research, industry roles or doctoral programmes upon completion.

What is the DEAI Erasmus Mundus programme?

It is a two-year joint master’s degree in Data Engineering and Artificial Intelligence delivered by a consortium of European universities.

Who can apply for DEAI Erasmus Mundus?

Applicants holding a bachelor’s degree with strong analytical and technical background and English proficiency.

Is prior work experience required for DEAI Erasmus Mundus?

Professional experience is not explicitly stated as mandatory on the official website. Selection is primarily based on academic background, technical preparation, and overall application strength.

What academic background is preferred for DEAI Erasmus Mundus?

A strong foundation in computer science, mathematics, data science, artificial intelligence, or closely related fields is expected due to the technical nature of the programme.

Can I apply if my bachelor’s degree is still in progress?

Applicants may apply during their final year of undergraduate studies; however, the bachelor’s degree must be completed before enrolment. Specific confirmation requirements are provided in the official admission guidelines.

What career paths are available after completing DEAI Erasmus Mundus?

Graduates typically pursue careers in data engineering, artificial intelligence development, machine learning research, analytics consulting, technology innovation roles, or doctoral studies.