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Computer Science● OpenMastersPreview

Master of Artificial Intelligence & Data Science (MSc)

A comprehensive Master's programme blending technical AI expertise with business process integration and ethical legal frameworks.

Best for:Best for STEM graduates with strong quantitative foundations seeking to bridge the gap between advanced AI technology and business strategy.

Frankfurt School of Finance & Management · Frankfurt am Main, Germany · R1 · First-stage researcher
More professors at Frankfurt School of Finance & Management
Artificial IntelligenceMachine LearningData ScienceCloud ComputingBusiness Process IntegrationAI Ethics and Law
This is a masters position — not a PhD studentship.
Deadline
Register by 30 June 2027
Funding
—
8,875 EUR per semester
Start date
Winter semester
Full-time
Location
Frankfurt am Main
Germany

Overview

The Master of Artificial Intelligence & Data Science at the Frankfurt School of Finance & Management is designed for analytical graduates seeking deep expertise in AI and data-driven decision-making. The curriculum integrates four core pillars: technological competence, business process integration, ethics and law, and practical application through company projects. Students benefit from an innovative three-day weekly schedule that balances intensive academic study with opportunities for professional experience. This programme prepares graduates to navigate complex data challenges while fostering responsible leadership in a global business context.

Data ScienceArtificial IntelligenceMachine LearningBusiness AnalyticsCloud ComputingSTEMData-driven decision making

What you'll do

  • Engage in intensive coursework covering AI, machine learning, statistics, and cloud computing.
  • Analyze the integration of data science into business processes to improve organizational performance.
  • Evaluate the ethical and legal implications of AI technologies in professional settings.
  • Participate in a Company Cooperation Project to apply theoretical knowledge to real-world business challenges.
  • Balance academic requirements with professional development through part-time work or internships.

Requirements

Degree required: Bachelor's degree or Diploma with at least 180 ECTS credits in a STEM field.

Degree offered: Master of Science

Language: English; C1 level required (e.g., IELTS Academic 7.0 or equivalent TOEFL scores).

Instruction: English

Required skills
  • Strong quantitative and analytical skills demonstrated via STEM degree or standardized tests.
  • Proficiency in English at C1 level or higher.
  • Valid GMAT, GRE, or Frankfurt School Admission Test (BT Methods) score.
  • Successful completion of an admissions interview.
Nice to have
Prior experience in data analysis or programming.Demonstrated curiosity for complex data challenges.Professional experience gained through internships.
Eligibility
  • Applicants must hold a first academic degree (Bachelor's or Diploma) of at least 180 ECTS credits.
  • Open to applicants from all countries.

Funding & terms

Type
Unknown
Amount
8,875 EUR per semester
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: 2027-06-30

Applicants must submit their application through the official Frankfurt School portal. The process includes providing academic transcripts, standardized test scores, and participating in an admissions interview.

Documents required
  • Academic transcripts
  • GMAT/GRE or BT Methods test score
  • Proof of English proficiency
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