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Microcredential

Distributed Computing and Federated Learning

Institute Business Informatics and Data Science
Campus:
Graz (Hybrid)
ECTS:
5 ECTS
Start Date:
Academic year 2026/2027
Qualifications level:
Master (EQF 7)
Language of instruction:
English

The Microcredential provides up-to-date knowledge in the field of distributed computing and federated learning. It covers critical discussion of current specialist literature, requirements-based problem solving and independent strategy development. The Microcredential also covers project planning and coordination, conflict mediation, documentation and critical presentation of results.

The Microcredential provides up-to-date knowledge in the field of distributed computing and federated learning. It covers critical discussion of current specialist literature, requirements-based problem solving and independent strategy development. The Microcredential also covers project planning and coordination, conflict mediation, documentation and critical presentation of results.

Note

The following module is offered exclusively to regular students at a participating university / university of applied sciences and only to regular students enrolled in master’s degree programmes that are part of the EU4Dual Master Class AI programme.

Requirements:

You can apply if you meet the following requirements:

  • Enrolment as a regular student
  • Current enrolment in a master’s degree programme that is part of the EU4Dual Master Class AI programme
  • Current studies at one of the participating universities

  • DHBW CAS (Germany)​
  • ESTIA Institute of Technology (France)​
  • FH JOANNEUM (Austria)​
  • John von Neumann University (Hungary)​
  • Mondragon University (Spain)

DHBW CAS:

  • Business Informatics (in German)
  • Data Science and Artificial Intelligence (in German)
  • Digital Business Management (in German)
  • Informatics (in German)

ESTIA Institute of Technology

  • Engineering degree (3-year programme): years 2 and 3 (French / English)
  • Master of Science BIHAR, Bi Data & AI (French / English)
  • PhD programmes (French / English)

FH JOANNEUM:

  • Business Informatics (in German)
  • Data Science and Artificial Intelligence (in English)
  • IT and Mobile Security / Cybersecurity and Ethical Hacking (in German/English)
  • IT Law and Management (in German)
  • eHealth (in German)

John von Neumann University

  • No restrictions

Mondragon University

  • Master’s degree in Applied Artificial Intelligence
  • Master’s degree in Data Analysis, Cybersecurity and Cloud Computing

Note

You can apply directly through your degree programme participating in the EU4Dual Master Class AI programme.

Required documents for application:

Please refer to the ‘Master Class AI’ page on the EU4Dual website for information on which documents are required for your application.

 

Integration/combination options:

The Microcredential can be taken independently as further training. Depending on the rules of the participating university, it may be possible to transfer credits to your degree programme. Completing a total of three Microcredentials at three different universities as part of the EU4DUAL Master Class AI leads to a marketing certificate.

 

Study organisation:

The Microcredential is taught in a hybrid format. This means that the continuing education programme takes place both at the University of Applied Sciences in Graz and online. After an online kick-off event and a preparatory phase, you can expect a block of attendance on site at FH JOANNEUM lasting 5 working days. This is followed by a follow-up phase.

There is an 80% attendance requirement.

 

Graduation requirements:

The Microcredential is considered successfully completed if the ongoing performance assessment is good, the required minimum attendance has been achieved, and the required project documents or results have been successfully completed.

 

Qualification profile:

You will gain a deep understanding and practical knowledge of distributed computing and federated learning, which you can apply in your professional environment as an IT, data or AI specialist. Upon successful completion, you will receive a certificate of completion.

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