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EU4Dual Master Class AI

Theory-practice transfer

Certificate

3 modules each at 1 of 5 partner institutions

Duration

15 ECTS

Online kick-off and 5 days seminar

Teaching language

English

Format

Hybrid

Online and campus

Brief description

Experience artificial intelligence across Europe, learn and network together

This masterclass offers a unique continuing education programme for its master students.

Join our unique masterclass in artificial intelligence and data science. We bring together talented students from across Europe to learn, network and advance their careers.

The masterclass combines professional development with intercultural exchange. You’ll explore cutting-edge research in data science and artificial intelligence through practical workshops at leading European institutions.

Completion of the EU4Dual Master Class AI and certificate

You’ll receive our certificate when you successfully complete three modules at three different institutions. You can complete only one module per university.
Upon successful completion, the certificate “EU4Dual Certificate in Advanced AI Studies” is awarded by the participating EU4Dual partner institutions (no minimum grade point average or passing threshold).

Master Class AI – information session (PDF)

7 to 25 participants per module

A 3 module programme with a minimum of 7 and a maximum of 25

Admission requirements

Open for students who are completing a graduate programme (Master’s level or equivalent)

Study programme

Our application-oriented and practice-based consists of three modules :

Each module takes place at a different partner institution
Combines online learning with in-person workshops
Covers master’s-level content in data science and AI
Includes mandatory theory-practice transfer
Awards 5 ECTS per module (recognised by all partner universities)
Taught entirely in English
5 partner institutions offer one module each year
Take modules individually and independently of each other
No set order or time limit

Online kick-off (4-6 weeks before workshop)

Virtual introduction covering key topics and organisational details to prepare you for the in-person phase.

Preparation phase

Self-study period with optional virtual components to deepen your understanding before the workshop.
Further appropriate virtual components are possible

5 day in-person workhop

Takes place at partner universities in Austria, France, Germany, Hungary or Spain
Features lectures on current AI and data science research
Includes practical applications and group collaboration
Awards 5 ECTS credits upon completion
Ends with a graded assessment (see individual module descriptions)
Requires full attendance
Limited to 7-25 students per module
Attendance is compulsory

EU4Dual Master Class AI modules

FH JOANNEUM

Solving Practical Challenges in Data Science and AI – FH JOANNEUM (Sep 2026)
Distributed Computing and Federated Learning – FH JOANNEUM (Feb 2027)

Campus: Graz (Hybrid)

Institute: Business Informatics and Data Science

Start date: Academic year 2026/2027

Language of instruction: English

Contact: Alexandra Gößlbauer (alexandra.goesslbauer@fh-joanneum.at)

DHBW

Workshop on Data Science and Artificial Intelligence (W3M50022)

Campus: Center for Advanced Studies in Heilbronn (Hybrid)

Institute: School of Business, Data Science and Artificial Intelligence

Start date: Academic year 2026/2027

Language of instruction: English

Contact: Prof. Dr. Bernhard Drabant, Tamara Kaiser (tamara.kaiser@cas.dhbw.de)

Neumann János Egyetem (John von Neumann University)

EU4DUAL Master Class AI – Neumann János Egyetem

Campus: GAMF Faculty of Engineering and Computer Science

Institute: Department of Computer Science

Start date: Academic year 2026/2027 (20 July, 2026)

Language of Instruction: English

Contact: Mr. Dr. Ákos Tóth PhD (toth.akos@nje.hu)

Mondragon University

Reincorfement Learning in multidisciplinary contexts

Campus: Mondragon AsFabrik

Institute: Faculty of Engineering

Language of instruction: English

Contact: Daniel Reguera (dreguera@mondragon.edu)

Admission requirements and procedure

Who can apply?

You should be completing a graduate programme (master’s level or equivalent) in:

Data science
Artificial intelligence
Related technical fields

How to apply

Application and registration are managed by your home institution. Each partner institution reserves at least seven places annually. For detailed application information please contact your programme coordinator.