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Artificial Intelligence and Data Science● OpenMastersPreview

Master of Science in Data Science and Artificial Intelligence Technology

A multidisciplinary master’s programme at Delft University of Technology focusing on AI-driven solutions for real-world challenges.

Best for:Best for students with a strong background in computer science, data science, or related fields who are eager to specialize in AI-driven technologies and responsible engineering practices.

Delft University of Technology · Delft, Netherlands
More professors at Delft University of Technology
AI algorithmsData-driven systemsIntelligent software engineeringResponsible AISmart infrastructureAutonomous systems
This is a masters position — not a PhD studentship.
Deadline
Jan 15, 2027
93 days
Funding
—
2 years (120 ECTS)
Start date
Flexible (typically aligned with academic calendar)
Location
Delft
Netherlands

Overview

The Master of Science in Data Science and Artificial Intelligence Technology (DSAIT) at Delft University of Technology prepares students to design and develop intelligent software systems for diverse applications, from autonomous vehicles to smart infrastructure. Rooted in both AI and data science, this programme emphasizes responsible engineering of AI solutions, addressing technical and societal challenges. Students gain expertise in data management, AI algorithms, and system development, ensuring they can contribute to sustainable and impactful innovations. The curriculum balances theoretical foundations with hands-on experience, equipping graduates to tackle complex problems in industry and research. This programme is ideal for those passionate about leveraging AI to create transformative, data-driven solutions.

AI technologyData ScienceMachine LearningSoftware EngineeringSmart SystemsResponsible AITechnological InnovationData-Driven Decision Making

What you'll do

  • Develop and implement AI algorithms and data-driven systems for real-world applications.
  • Design intelligent software solutions addressing technical and societal challenges.
  • Conduct research and develop innovative approaches in AI and data science.
  • Collaborate on interdisciplinary projects combining AI, data management, and engineering.
  • Apply AI technologies to create sustainable and responsible solutions for industries and urban environments.
  • Engage in hands-on projects to gain practical experience in AI system development.

Requirements

Degree required: Bachelor of Science in Computer Science, Data Science, Artificial Intelligence, or a related technical field

Degree offered: Master of Science

Language: English proficiency (no specific test score mentioned)

Instruction: English

Required skills
  • Proficiency in programming languages such as Python, Java, or C++
  • Strong foundation in mathematics and statistics
  • Basic knowledge of machine learning and AI principles
  • Experience with data management and databases
  • Problem-solving and analytical skills
Nice to have
Experience with AI frameworks like TensorFlow or PyTorchBackground in data engineering or big data technologiesFamiliarity with cloud computing platformsKnowledge of AI ethics and responsible AI practices
Eligibility
  • Open to international students
  • No specific age or residency restrictions mentioned

Funding & terms

Type
Unknown
Amount
—
Duration
2 years (120 ECTS)
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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2027-01-15

Applicants must submit their application through the official Delft University of Technology portal. Required documents include a CV, transcripts, a motivation letter, and proof of English proficiency. Additional documents may be requested depending on the applicant’s background.

Documents required
  • CV
  • Transcripts of previous academic degrees
  • Motivation letter
  • Proof of English proficiency
  • Letter of recommendation (if applicable)
↗Check programme and admissions
Lab
Faculty of Electrical Engineering, Mathematics and Computer Science
Delft University of Technology
Netherlands
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.