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Applied Artificial Intelligence for Industrial Applications● OpenMastersPreview

Master of Science in Artificial Intelligence for Industrial Applications

Practical AI training for industry with hands-on projects in smart factories, energy, and medical technology.

Best for:Best for engineering or natural science graduates with a technical background in computer science, electrical engineering, or mechatronics who seek hands-on AI training for industrial applications.

Ostbayerische Technische Hochschule Amberg-Weiden (OTH) · Amberg, Germany
More professors at Ostbayerische Technische Hochschule Amberg-Weiden (OTH)
Machine LearningNatural Language ProcessingComputer VisionIndustrial AI ApplicationsSmart Factory SystemsAI Security
This is a masters position — not a PhD studentship.
Deadline
Winter semester application period: 15 April to 8 June Summer semester application period: 1 November to 8 December Please check our application portal for all current application deadlines. Please note that there is a non-refundable 50 EUR application fee for each study programme application.
Funding
Unfunded
4 semesters (2 years)
Start date
Winter or Summer semester (flexible)
Full-time
Location
Amberg
Germany

Overview

This Master’s programme at Ostbayerische Technische Hochschule Amberg-Weiden (OTH) focuses on applying artificial intelligence to industrial challenges. Students gain expertise in machine learning, natural language processing, and computer vision through a blend of theoretical coursework and practical projects. The curriculum emphasizes real-world applications, including AI-driven process optimization, robotics, and smart factory systems. Lecturers with strong research backgrounds guide students through a structured curriculum, culminating in a research project and Master’s thesis. The programme is fully taught in English and includes international elements like guest lectures and intercultural training.

Industrial AIMachine Learning ApplicationsComputer Vision for IndustrySmart Factory TechnologiesAI in Energy SectorAI in Medical TechnologyProject-Based LearningEnglish-Taught Master’s Programme

What you'll do

  • Design and prototype AI systems for industrial applications through hands-on projects in small groups.
  • Analyze data, train, and evaluate AI models in lectures and practical exercises.
  • Work on interdisciplinary projects addressing challenges in smart factories, energy, and medical technology.
  • Develop research ideas and execute a Master’s thesis project under faculty supervision.
  • Collaborate in team-based projects, seminars, and self-study to solve real-world industrial problems.
  • Apply AI methods to optimize processes, enhance quality assurance, and train cooperative robots.

Requirements

Degree required: Bachelor’s degree in computer science (e.g., technical computer science, applied computer science, media computer science, medical computer science), electrical engineering and information technology, mechatronics and digital automation, or a comparable technical degree with a relevant focus.

Degree offered: Master of Science (MSc) in Artificial Intelligence for Industrial Applications

Language: English: B2 level (IELTS Academic: 6.0 or equivalent); German: A2 level (Goethe-Zertifikat A2 or equivalent).

Instruction: English

Required skills
  • Proven aptitude in computer science and mathematics (demonstrated via an online aptitude test).
  • Basic proficiency in programming (e.g., Python, Java, or similar).
  • Ability to work in interdisciplinary teams and solve complex technical problems.
  • Familiarity with fundamental concepts in machine learning and data analysis.
Nice to have
Experience with AI frameworks (e.g., TensorFlow, PyTorch).Background in robotics or automation systems.Knowledge of databases and data engineering principles.Interest in emerging AI technologies like embedded intelligence or AI security.
Eligibility
  • Applicants must hold a relevant Bachelor’s degree in engineering or natural sciences.
  • Non-EU applicants must have their degree verified by an independent organization (e.g., uni-assist).
  • Indian applicants must provide an APS certificate for verification.
  • No age restrictions, but technical aptitude is assessed via an online test.

Funding & terms

Type
Unfunded
Amount
—
Duration
4 semesters (2 years)
Programme
—

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
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How to apply

Deadline: 2024-06-08 (Winter semester) or 2024-12-08 (Summer semester) (Europe/Berlin)

Applicants must submit their application through the university’s official portal, including academic transcripts, language certificates, and a non-refundable 50 EUR application fee. Non-EU applicants must first have their degree verified by uni-assist. After admission, applicants must complete an online aptitude test in computer science and mathematics.

Documents required
  • CV
  • Bachelor’s degree certificate and transcripts
  • Language certificates (English B2, German A2)
  • Proof of degree verification (uni-assist for non-EU applicants)
  • APS certificate (for Indian applicants only)
  • Non-refundable 50 EUR application fee
↗Check programme and admissions

Contact

Lab
AI Research Group / Industrial AI Lab
Ostbayerische Technische Hochschule Amberg-Weiden (OTH)
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.