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Computer Science and Artificial Intelligence● OpenMastersPreview

Data Science and Artificial Intelligence Master's Programme

Combine advanced data analysis techniques with AI methods to design and develop intelligent systems.

Best for:Best for students holding a relevant bachelor's degree who want to build expertise in advanced data science and artificial intelligence systems.

Eindhoven University of Technology · Eindhoven, Netherlands · R1 · First-stage researcher
More professors at Eindhoven University of Technology
Artificial IntelligenceData AnalysisIntelligent SystemsMachine LearningData Science
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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2 years · 120 ECTS
Start date
September
Location
Eindhoven
Netherlands

Overview

The Master in Data Science and Artificial Intelligence at Eindhoven University of Technology is a two-year graduate programme designed for students passionate about intelligent systems. The curriculum is structured around semesters and quartiles, incorporating core courses, specializations, electives, professional development, and an optional internship. Students gain a rigorous scientific perspective paired with a hands-on engineering approach culminating in a graduation project. Graduates receive a Master of Science degree in Data Science and Artificial Intelligence, preparing them for dynamic careers in technology and research.

Data ScienceArtificial IntelligenceMaster ProgrammeEindhovenIntelligent Systems

What you'll do

  • Complete core and specialization courses in data science and artificial intelligence
  • Participate in lectures, tutorials, and examination periods across four academic quartiles per year
  • Undertake elective courses and professional development modules
  • Complete a final graduation project demonstrating scientific and engineering competencies
  • Optionally pursue an internship to gain practical industry experience

Requirements

Degree required: Bachelor of Science or equivalent

Degree offered: Master of Science

Language: English

Instruction: English

Required skills
  • Foundational knowledge in mathematics and computer science
  • Interest in advanced data analysis techniques and AI methods
  • Capability to undertake rigorous academic coursework and examinations
Nice to have
Prior programming experience in languages such as Python or RBackground in statistics or probability theory

Funding & terms

Type
Unknown
Amount
2 years · 120 ECTS
Duration
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
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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

Prospective students must submit their application through the official university portal by following the online admission guidelines. Ensure all necessary academic credentials and supporting documentation are prepared and uploaded prior to the deadline.

Documents required
  • CV
  • BSc transcripts
  • Degree certificate
↗Check programme and admissions

Contact

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Check admissions, intake and funding with the official source; a listing does not mean applications are open.