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Artificial Intelligence● OpenMasters★ EU-FUNDEDPreview

Master of Science in Artificial Intelligence for Connected Industries

A part-time European Master's programme focused on AI and machine learning for industrial networks and IoT.

Best for:Best for working professionals in engineering, robotics, or IT seeking to specialize in AI for industrial applications.

Ulm University · Ulm, Germany · R1 · First-stage researcher
More professors at Ulm University
Machine LearningIndustrial AutomationInternet of ThingsNetwork ArchitecturesRobotics
This is a masters position — not a PhD studentship.
Deadline
Application period for winter semester: 1 April to 15 May and 1 June to 15 July Application period for summer semester: 15 October to 15 November and 1 December to 15 January
Funding
—
1,500 EUR per semester for non-EU students; 182 EUR semester contribution for all.
Start date
Winter and summer semester
Location
Ulm
Germany

Overview

The Artificial Intelligence for Connected Industries (AI4CI) programme is a European Master's degree designed for professionals in engineering and technical fields. It provides advanced training in machine learning, industrial automation, and IoT network architectures. The curriculum is delivered through a flexible, part-time structure that allows students to balance their studies with professional commitments. Students benefit from an international learning environment, with opportunities to engage with academics and industry experts from various European partner universities.

Artificial IntelligenceConnected IndustriesPart-time MasterIndustrial IoTEuropean MasterAutomation Technology

What you'll do

  • Complete compulsory, compulsory elective, and free elective modules totaling 90 Credit Points.
  • Engage in online and hybrid learning activities across a network of European partner universities.
  • Apply AI and machine learning techniques to solve challenges in networked industrial systems.
  • Participate in optional mobility phases or exchanges within the partner university network.
  • Balance academic coursework with professional responsibilities through the part-time study model.

Requirements

Degree required: Bachelor's degree (180 ECTS) plus at least two years of qualified professional experience, or a degree plus one year of professional experience.

Degree offered: Master of Science

Language: English; B2 level proficiency required.

Instruction: English

Required skills
  • Professional experience in technical, scientific, or engineering fields.
  • English language proficiency at B2 level (e.g., IELTS 5.5, TOEFL iBT 72, or equivalent).
  • Foundational knowledge in engineering, robotics, or information technology.
Nice to have
Experience in mechanical engineering or automotive sectors.Background in automation technology or electronics.Ability to manage independent study in a hybrid/online environment.
Eligibility
  • Must hold a first higher education degree.
  • Must meet the specific professional experience requirements based on ECTS credits.

Funding & terms

Type
Unknown
Amount
1,500 EUR per semester for non-EU students; 182 EUR semester contribution for all.
Duration
6 semesters
Programme
Erasmus+
EU-FUNDEDErasmus+

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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Funding
Not confirmed by the source

How to apply

Applications must be submitted through the university's online portal. Applicants should ensure they meet the professional experience and language requirements before applying during the specified winter or summer intake windows.

Documents required
  • Official language certificate
  • Proof of professional experience
  • Academic transcripts
↗Check programme and admissions

Contact

Lab
Faculty of Engineering, Computer Science and Psychology
Ulm University
Erasmus+Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.