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Computer Science● OpenMastersPreview

Artificial Intelligence (AI), MSc

A research-oriented Master's programme focusing on the constructive modelling and implementation of AI algorithms and systems.

Best for:Best for students with a strong Bachelor's degree in Computer Science or related fields seeking a research-focused AI education.

FAU Erlangen-Nürnberg · Erlangen, Germany · R1 · First-stage researcher
More professors at FAU Erlangen-Nürnberg
Symbolic AISubsymbolic AINeural NetworksAlgorithm DesignAI Systems
This is a masters position — not a PhD studentship.
Deadline
Register by 31 May 2027
Funding
—
Semester contribution of 82 EUR; tuition fees apply for non-EU students.
Start date
Winter semester
Location
Erlangen
Germany

Overview

The Master of Science in Artificial Intelligence at FAU Erlangen-Nürnberg provides a deep academic foundation in AI methodologies, balancing theoretical knowledge with practical application. The curriculum is structured around three core pillars: Symbolic AI, Subsymbolic AI, and AI Systems and Applications. Students engage in hands-on project work and seminars, culminating in a research-based Master's thesis. The programme is designed for students with a strong background in computer science who wish to specialize in the constructive implementation of neural networks, algorithms, and data structures.

Artificial IntelligenceComputer ScienceMScMachine LearningAlgorithmsData Structures

What you'll do

  • Complete 120 ECTS credits over four semesters, including electives, projects, and a seminar.
  • Participate in two 10 ECTS technical projects focused on independent problem-solving within AI research labs.
  • Engage in a seminar to explore complex AI topics and present findings to an academic audience.
  • Conduct original research for a Master's thesis over the final six months of the programme.
  • Complete a 15 ECTS minor in a field with practical or topical connections to artificial intelligence.

Requirements

Degree required: Bachelor's degree in Computer Science or a closely related scientific/technical field.

Degree offered: MSc

Language: English; B2 level proficiency (e.g., IELTS 5.5, TOEFL iBT 80, or equivalent).

Instruction: English

Required skills
  • Solid programming experience and familiarity with basic computer science concepts.
  • Well-rounded education in mathematics, including analysis, linear algebra, and stochastics.
  • Completion of a Bachelor's thesis or equivalent achievement (12 ECTS).
  • Passing an online admissions test with a good result.
  • For non-EU applicants: Valid GRE or comparable international standardized graduate admissions test.
Nice to have
Prior experience in academic research or project-based technical work.Familiarity with symbolic and subsymbolic AI methodologies.
Eligibility
  • Bachelor's degree must include specific ECTS requirements in programming, theoretical CS, databases, mathematics, and software engineering.
  • APS certificate required for applicants from India, Vietnam, and China.

Funding & terms

Type
Unknown
Amount
Semester contribution of 82 EUR; tuition fees apply for non-EU students.
Duration
4 semesters
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
Not confirmed by the source
Tuition
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Funding
Not confirmed by the source

How to apply

Deadline: 2025-05-31

Applications must be submitted through the university's official portal. Applicants are required to provide academic transcripts, a CV, a letter of motivation, and proof of English proficiency. Non-EU applicants must also submit a GRE or equivalent test score.

Documents required
  • CV
  • Letter of Motivation
  • Secondary school leaving certificate
  • University certificates
  • Transcript of records
  • Module descriptions
  • English language proficiency certificate
  • APS certificate (if applicable)
  • GRE or equivalent test score (if applicable)
↗Check programme and admissions

Contact

Lab
Department of Computer Science
FAU Erlangen-Nürnberg
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.